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Electronic Health Record Ehr Systems Market Forecast Points Higher Toward 2035, Driven by Interoperability Mandates and Cloud Migration
World EHR systems market forecast to 2035: 6-8% CAGR, cloud adoption, interoperability mandates, and value-based care drive growth. Key players and regional insights.
Notes From A Career In Private Equity: David Mussafer On Business
David Mussafer emphasized leadership, teamwork, continuous learning, disciplined investing, and AI adoption as keys to long-term business success.
Goldman Sachs economist predicts AI displacing 15 million jobs
Joseph Briggs of Goldman Sachs foresees AI displacing 15 million US jobs, but suggests new roles will emerge as adoption progresses.
Report: Small Business AI Adoption Grows » CBIA
Artificial intelligence is moving from experimental technology to an everyday business tool for small businesses, according to a new report.
Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence
The pace of AI adoption is moving incredibly fast. Customers have moved well beyond experimentation and understand the importance of adopting AI to transform their business. They are now concentrating on delivering measurable business outcomes and demonstrating a return on their AI investments, while ensuring their intelligence is amplified and their IP is protected. Today...
Cost-Free Entertainment Platforms Propel Growth in the Ad-Supported Streaming TV Sector
The FAST market is driven by increasing consumer adoption of cost-free streaming, expanding ad-supported content, and enhanced personal advertising technologies. This growth is further accelerated by smart TV integration, diverse content offerings, and rising digital video libraries, notably in Asia-Pacific. Free Advertisement (Ad)-Supported Streaming Television (TV) (FAST) Market Free Advertisement (Ad)-Supported Streaming Television (TV) (FAST) Market Dublin, July 02, 2026 (GLOBE NEWSWIRE) --
Starmer to issue formal apology to mothers and children harmed by historic forced adoption policies
Between 1949 and 1976, an estimated 185,000 babies were taken from unmarried mothers and placed for adoption in England and Wales
Cheaper AI is better: Soaring bills are reshaping how businesses choose models
Silicon Valley's powerful and pricey AI models have been a necessity for businesses looking to future-proof themselves. But now a growing number of tech CEOs are arguing that cheaper options would be crucial for their wider adoption.
Sanford Health to highlight best practices for AI adoption at national leadership conference
Sanford Health’s Dr. David Newman will speak at two HIMSS AI conferences in Boston this week, discussing AI adoption, governance and clinical workflows.
Sanford Health to highlight best practices for AI adoption at national leadership conference
Sanford Health’s Dr. David Newman will speak at two HIMSS AI conferences in Boston this week, discussing AI adoption, governance and clinical workflows.
Standing Committee recommends adoption of four new business items, discusses relationship of the Church of the Brethren and Eder Financial
The Standing Committee of district delegates to the Church of the Brethren Annual Conference held meetings from Thursday evening, June 25, through Saturday afternoon, June 27, in Fort Wayne, Ind. Annual Conference moderator Don Fitzkee presided, assisted by moderator-elect Dennis Beckner and Conference secretary David Shumate.
Strictly Business Cannes Lions: Deloitte, AWS, Sony Execs on AI and Tech Adoption
Variety Strictly Business Podcast Live presented by AWS & Deloitte featured Deloitte's Michelle McGuire, AWS's Ruba Borno, and Sony Pictures Entertainment's Pete Wood.
Strictly Business Cannes Lions: Deloitte, AWS, Sony Execs on AI and Tech Adoption
Variety Strictly Business Podcast Live presented by AWS & Deloitte featured Deloitte's Michelle McGuire, AWS's Ruba Borno, and Sony Pictures Entertainment's Pete Wood.
PlayStation encourages Blu-ray adoption by deleting purchased movies from customer accounts
PlayStation encourages Blu-ray adoption by deleting purchased movies from customer accounts
AI for Small Business: The Quick-Win Approach
Voice of Business Blog Guest post from Greater Rochester Chamber member IT Insights of Rochester In 2025, 58% of small businesses report using generative AI tools, up from 40% in 2024 and 23% in 2023, according to the U.S. Chamber of Commerce. Adoption has grown quickly in just a few years and is now delivering…
Goldman Sachs analysts say EV adoption set to hammer demand for oil
Goldman Sachs says a shift spurred by the Iran War and its disruption to energy markets will put downward pressure on crude prices through 2027.
Can Canadian Organizations Deliver in the Next Era of Business AI? IBM Finds Many May Not Be Ready
As Canadian CEOs accelerate AI adoption to drive productivity and growth, C-suite leaders across Canada warn that governance, oversight and workforce readiness are struggling to keep pace, creating a widening 'control gap.'
U.S. Bank Survey Finds Gen Z Small Business Owners Are Making Bigger Bets to Drive Growth
Gen Z Momentum: Gen Z owners are nearly twice as likely as Gen X and Baby Boomer owners to make bigger bets on growth, while also reporting stronger business performance Growth Continues, But Less Widespread: Many small businesses are still expanding, though fewer are doing so as economic pressures persist AI Adoption Gap: Businesses adopting generative AI and digital tools are more likely to be in a growth phase U.S. Bank released its fourth annual Small Business Perspective survey report today, highlighting how small business owners are navigating a more constrained environment, and how a new generation is building businesses differently. The nationwide survey of 1,000 small business owners, including an oversample of 200 Gen Z owners, shows that while many small businesses are still expanding, fewer are growing than a year ago amid ongoing economic pressures and rising costs. U.S. small businesses are still seeking to grow, despite economic concerns. “Growth may not be as
ARCH MADNESS EXPANDS: MVC WOMEN’S BASKETBALL CHAMPIONSHIP MOVING TO ST. LOUIS IN 2027
The Missouri Valley Conference Board of Directors has approved a series of enhancements to the Conference's basketball championship structure beginning with the 2027 season, including the relocation of the MVC Women’s Basketball Championship to St. Louis and the adoption of a new 10-team tournament format for both men’s and women’s basketball.
Heat pump rebate programs spur adoption but threaten small Colorado businesses
A major blindspot around heat pump rebates is just coming into view, and it may change the service industry in Colorado forever.
Republicans buy crypto more than Democrats, data shows
"There's a massive, massive partisan gap," of crypto adoption between Democrats and Republicans. Here's why.
iPhone 18 Pro Release Date: How Apple Freezes Out Android Competition
With the launch of the iPhone 18 Pro, Apple will disrupt the marketing, distribution and adoption of Samsung, Google and the Android-powered competition.
This Week in Jacksonville: Business Edition - Jax Chamber outlines a playbook for business adoption
Kent Justice talks with Dr. Carlton Robinson, Chief Innovation Officer at the Jax Chamber, about how Jacksonville can stay competitive as AI shifts from buzzword to workplace reality. Robinson explains why the Chamber launched its new Center for Applied Infrastructure—framing “human-centered AI” as the next kind of public infrastructure—and why the goal is augmentation, not replacement: identifying what must remain human-led and using AI to remove friction in everyday work.
NC ranks 9th nationally in business using AI
North Carolina is emerging as a leader in AI adoption, with over 22% of its businesses utilizing the technology, ranking ninth nationwide.
Second Annual Cenevo Survey of Life Science Professionals Reveals Future of AI in Modern Labs
AI adoption is widespread across life sciences laboratories, but it is still mostly in the experimental stage, with only 5 percent using AI agents in production, according to Cenevo's second annual survey.
Second Annual Cenevo Survey of Life Science Professionals Reveals Future of AI in Modern Labs
/PRNewswire/ -- AI adoption is widespread across life sciences laboratories, but it is still mostly in the experimental stage, with only 5 percent using AI...
Time, Outcomes, Adoption, Cost: The Four Metrics Redefining Digital Health
Despite rapid innovation, many healthcare organizations still struggle to translate new care models into system-wide impact.
Using AI Tools in Graduate School: Virtual Workshop: APSA Status Committee on Graduate Students in the Profession | Friday, June 26, 2026 -
“Using AI Tools in Graduate School” Friday, June 26, 2026 12:00 PM (ET) / 9:00 AM (PT) | Run Time 75 minutes Register Here Artificial intelligence’s rapid adoption and growing technological power affect nearly all aspects of the political science graduate student research process. Join the [...]
In the race for AI gold, healthcare is getting left in the dust by finance
If the economy were an inter-sector track meet in which AI adoption propels the runners, healthcare would be getting repeatedly lapped by financial services.
AI And Your HVAC Guy: HBS Founders Reveal Inside Business Strategies
AI startups succeed by solving real industry problems, prioritizing adoption, trust, workflows, and revenue.
Onboarding support helps merchants adopt digital payment methods
A research team led by Shreya Kankanhalli of the SC Johnson College found that supporting merchants during and after installation of digital payment devices resulted in significantly greater uptake of the technology.
Still Under Attack: A Decade of Monitoring Attacks on Health Care after the Adoption of United Nations Security Council Resolution 2286
Analysis in English on World about Protection and Human Rights; published on 11 Jun 2026 by Insecurity Insight
Small Business and AI Adoption - Small Business & Entrepreneurship Council
by Raymond J. Keating – The adoption of AI among small business is accelerating, and runs particularly higher among employer firms. These are among the findings in the first report in a new research series, Small Business in the Age of AI, from the JPMorganChase Institute. The report, “Understanding the use of AI among small […]
Meitav Investment House Announces Immediate Report Concerning Selected Business Data for April 2026
Meitav Investment House (TASE: MTAV) announced today that further to the Company's immediate report dated March 2, 2026 (Reference No. 2026-01-019142) regarding the adoption of an ongoing monthly reporting mechanism for selected business data, material to its operations, with the objective of enhancing transparency of business operations and improving the information available to the investors, the Company is pleased to publish the data for April 2026.
Science Central celebrates Animal Day on May 30
Chaco and his friend, Dr. Banner (a green iguana), are joined by Snowcap, a bunny that will actually be up for adoption at the event.
CEOs cite AI for job cuts while urging worker adoption
CEOs are pushing workers to embrace AI. At the same time, some are citing the technology as a reason for layoffs.
34,000 Small Businesses Said AI Is Working. The Data Says Otherwise
A QuickBooks study of 34,000 businesses reveals the gap between AI adoption and measurable results. Five metrics every small business should track now.
WHO Global Code of Practice on the International Recruitment of Health Personnel amended
WHO Member States adopted a resolution to amend the ‘WHO Global Code of Practice on the International Recruitment of Health Personnel’ (the Code) and strengthen its implementation, following Member State-led consultations in the lead up to the Seventy-ninth World Health Assembly. The resolution marks an important step towards the vision that everyone, everywhere can access competent and motivated health and care workers, as a foundation for both universal health coverage and global health security. Key additions to the Code focus on: inclusion of provisions on health personnel recruited internationally for employment as care workers; applicability of the Code recommendations during emergencies; and encouraging co-investment in health systems and health workforce to ensure international recruitment results in proportional benefits for source and destination countries.Since its adoption by the Sixty-third World Health Assembly in 2010, the Code has undergone three rounds of review of its relevance and effectiveness. “We welcome the resolution’s focus on sustainable and ethical mobility of health personnel,” explained Dr Yukiko Nakatani, WHO Assistant Director-General, Health Systems, Access and Data. “The Code’s adoption in 2010 was a landmark achievement. Following this update, we encourage all countries to enhance implementation, including by viewing co-investment as a win-win.” The additions were recommended by an Expert Advisory Group appointed by the WHO Director-General. The Expert Advisory Group’s final report noted the progress in health workforce data availability, provision of migrant health worker rights and the embedding of ethical recruitment principles in national policies. It also highlighted areas of possible improvement in the Code implementation, including support for the strengthening of health systems in source countries.The adoption of the resolution follows extensive consultations led by Member States, underscoring the continued relevance of the Code in a context of increasing international mobility of health workers and growing pressure on health systems resulting from global health emergencies and funding constraints.WHO is already taking forward actions called for in the resolution. An updated version of the ‘WHO health workforce support and safeguards list’, that guides ethical recruitment practices by identifying countries facing the most pressing health workforce challenges, will be published later in 2026. As recommended by the Expert Advisory Group, this will include additional flexibility enabling countries to indicate their willingness to allow active international recruitment, or for Member States not on the list to request tailored support and safeguards. This approach reflects a more nuanced, country-led framework that balances workforce mobility with the need to protect and strengthen health systems in vulnerable settings.“I thank the members of the Expert Advisory Group, the group of Member States who led the resolution, and all Member States for their constructive engagement,” added Dr Nakatani. “Let’s bring this spirit of collaboration to our collective efforts to implement the resolution, strengthen the health workforce and build resilient and equitable health systems.”
Meta Launches New Enterprise Push to Boost Business Adoption of Its AI Tools
Meta Platformsplans to place engineers and product managers inside large corporate customers as part of a new unit at the social-media giant to push businesses to use its AI tools and services. In an internal memo, senior executive Naomi Gleit said the new organization, called Enterprise ...
How Stanford patients help expose ‘fault lines’ in health AI adoption
Stanford Health Care started asking patients about new AI tools before they are implemented. Here's what patients are telling them.
May 28 Vallejo-Vacaville Arts/Entertainment Source: Activities
Come look for adorable furry friends on Saturday at Kitty Meet and Greet – Pet Adoptions, noon, PetSmart, 952 Admiral Callaghan, Lane, Vallejo.
The World Health Assembly adopts updated Global Action Plan on Antimicrobial Resistance (2026–2036)
Geneva, 23 May 2026 – Member States at the Seventy-ninth World Health Assembly (WHA79) adopted the updated Global action plan on antimicrobial resistance (GAP-AMR) 2026–2036, marking a major milestone in the global response to antimicrobial resistance (AMR) and delivering on a key commitment contained in the 2024 United Nations General Assembly Political Declaration on AMR. The updated plan was developed through a consultative process led by the Quadripartite organizations – FAO, UNEP, WHO and WOAH – with extensive engagement of Member States and stakeholders across sectors. AMR remains one of the most significant global health and development challenges, affecting humans, animals, plants, food systems and the environment. The updated GAP-AMR provides a comprehensive One Health framework to guide coordinated global, regional and national action over the next decade. It builds on the foundation established by the original GAP-AMR adopted by the World Health Assembly in 2015 while reflecting evolving evidence, lessons learned, and the commitments made at the 2024 UN High-Level Meeting on AMR. During the Assembly, Member States expressed broad support for the updated plan and its strengthened multisectoral and One Health approach. Delegates highlighted the importance of prevention-first interventions, including infection prevention and control, water, sanitation and hygiene (WASH), vaccination, biosecurity, and environmental measures. They also highlighted the need for responsible, equitable and sustainable use of antimicrobials, strengthened surveillance, innovation, and sustainable agrifood systems. The updated GAP-AMR is intended to serve as the global framework for coordinated action against AMR through 2036. It aims to accelerate global progress towards the commitments and targets agreed by Member States and support countries in developing, implementing and financing ambitious multisectoral national action plans. The plan also reinforces the importance of accountability, monitoring and reporting, sustainable financing, and international cooperation to address AMR through a One Health approach. The adoption of the updated GAP-AMR reflects renewed global commitment to preserving the effectiveness of antimicrobials and safeguarding advances in human, animal and plant health, food security, economic development and environmental sustainability. As implementation begins, continued collaboration among governments, international organizations, civil society, academia and the private sector will be critical to translating commitments into measurable impact. The Quadripartite organizations will continue supporting Member States and partners in operationalizing the updated GAP-AMR and advancing coordinated One Health action against AMR at country, regional and global levels.
AI Training For Small Businesses Goes Nationwide
Free AI training from the U.S. Chamber and new tools from Anthropic are arriving just as small business formation surges and the AI adoption gap begins to close.
Outscraper Sees Continued Growth in Use of Its Google Maps Scraper for Business Intelligence Needs
Outscraper has announced increased adoption of its Google Maps Scraper as more agencies, marketers, and researchers use automated tools to collect publicly available business data from Google Maps. Outscraper Sees Continued Growth in Use of Its Google Maps Scraper for Business Intelligence Needs Outscraper has announced increased adoption of its Google Maps Scraper as more agencies, marketers, and researchers use automated tools to collect publicly available business data from Google Maps. Ancho
Defining An Intelligent Business
Some thoughts on data quality, semantic layers, human adoption, and practical strategies for building intelligent businesses
Heartflow reports significant revenue growth as CCTA sees wider adoption
The company keeps gaining momentum thanks to the success of its AI-powered imaging software.
Datavault AI Provides Q1 2026 Business Update Highlighting Tokenization Adoption and Infrastructure Progress
More than $800 million in tokenization contracts signed; generating nearly $100 million in fees expected to be recognized in 2026 First Quarter…...
Small businesses should be a much bigger part of the 'AI transformation' conversation
Surveys show adoption is rising fast, but most small business owners are still scratching the surface of what AI can do for them.
Anthropic launches Claude for Small Business with QuickBooks, PayPal
The AI company says small businesses account for 44% of U.S. GDP but have lagged behind larger enterprises in AI adoption
Anthropic tops OpenAI in business AI adoption for the first time
Anthropic surpassed OpenAI in AI business spending, according to Ramp's AI Index, marking a significant shift in AI adoption for the Claude creator.
Translating AI Digital Health Into Impact
AI is accelerating digital health, but real impact depends on adoption, collaboration, and integration into clinical care.
Food Frontier and IIFH partner to commercialize nutrition science innovations
The Innovation Institute for Food & Health (IIFH) at the University of California (UC) Davis, US, and Food Frontier are collaborating to advance scientific discovery by integrating it with agricultural production, culinary influence, and market execution. The partners aim to “activate pathways” bringing these innovations into restaurants, supply chains, and consumer markets, where they say adoption is ultimately determined. Specifically, they will build an infrastructure model to accelerate timelines, reduce risk, and unlock new growth opportunities for these new innovations. This platform will help develop, validate, and scale ideas in real-world conditions.
From agenda setting to policy adoption: Why some ideas succeed while others fail
Landry Signé explores the evolution of the agenda-setting literature and provides policymakers with a practical framework for policy agenda management.
Scientists Question Trust in AI Over Colleagues
The Conversation publishes an article by researchers at the Institute for Basic Science arguing that rapid adoption of AI in laboratories risks eroding scientific culture and human relationships. The article cites **AlphaFold** as an example of an AI tool that dramatically sped protein-structure prediction, and it notes a broader boom in national initiatives to integrate AI into science, per The Conversation. The authors warn that early-career researchers may outsource troubleshooting and critical evaluation to AI, which could weaken independent thinking and collegial critique. Editorial analysis: For practitioners, the piece highlights trade offs between productivity gains and the social practices that sustain reproducible research.
What happens when scientists trust AI more than colleagues?
Hasty adoption of AI may erode the scientific culture and human relationships that sustain rigorous research.
Goldman thinks tracking your AI use misses the point
Wall Street is split on whether to track engineers' AI adoption to enforce its use. I sat down with Goldman Sachs' CIO to hear about his approach.
SCCT President: Key trends in cardiac CT
As CCTA sees rapid adoption across cardiology, SCCT is working to address the education required to sustain the expansion.
Managers are now in charge of making you use AI
Don't be surprised if AI comes up in your next check-in. Managers are getting in the weeds to help encourage wider adoption.
Webinar to explore AI use in cybersecurity, health care technology
John Riggi, AHA national advisor for cybersecurity and risk, will moderate a webinar May 5 at 1 p.m. ET that will explore how bad actors are leveraging artificial intelligence, emerging risks to watch for, and best practices for responsible AI adoption that will help protect organizations from evolving threats.
Global Health & WASH: May 2026 Funding Opportunities (14 new opportunities!)
The May update for Global Health & WASH brings new calls that cluster around three distinct shifts: LMIC research leadership moving from funder encouragement into a hard eligibility constraint, pharmaceutical and corporate-linked funders running structurally independent education and use-inspired research portfolios at substantial scale, and AI adoption shifting decisively from speculative tool to operational capability across health and WASH systems alike. In LMIC Research Leadership as Eligibility, Not Encouragement, Wellcome anchors the dominant signal of the month with three separate major calls that all require or strongly center LMIC leadership in their basic eligibility architecture. Wellcome’s ESIC Hubs (£1.5-£1.9M per hub over 3-5 years) explicitly requires an LMIC-based lead applicant, treating Global South leadership as a design constraint rather than a participation goal. Wellcome’s Infectious Disease Clinical Trial Development Award funds transdisciplinary teams whose lead must be a mid-career or established researcher based at an organization in Africa, South Asia, or Southeast Asia. Wellcome’s larger Infectious Disease Clinical Trial Award (£1M-£8M for optimizing licensed interventions) requires the administering organization to be in eligible LMIC regions and at least 50% of applicants based there. Around Wellcome, the same pattern shows up at smaller scale and across funders: CHINNOVA channels $1M into West and Central African research institutions for climate-health work; IBRO’s Neuroscience Training Grants explicitly tier ceilings by region of residence with Africa receiving the highest amount ($5,000); IHME’s GBD Emerging Researcher Award reserves at least one of its two annual awards for an LMIC researcher; Sidaction’s HIV Cure call funds research teams across France, the Netherlands, and eligible African countries with a minimum two-country collaboration requirement. Taken together, these calls signal a meaningful shift in how research equity is being operationalized — not as encouragement language at the bottom of a call, but as a structural feature of who can lead, where the work must be administered, and what proportion of the team must be regionally rooted. In Pharma-Funded Independent Medical Education and Use-Inspired Research, the lineup this month is unusually deep. Pfizer alone runs four parallel calls under independent education and quality improvement frameworks: a Migraine and Women’s Health RFP (200K x 2-year, $500K pool), Migraine IME ($200K, $1M pool), JAK Inhibitor evidence-based education ($100K), and Maternal Vaccination HCP Education in Saudi Arabia ($75K), plus a separate Pediatric Pneumococcal Surveillance research call in Saudi Arabia ($400K per project). Novo Nordisk Foundation runs four parallel calls of its own at substantial scale: Infectious Diseases Catalyst Grants (DKK 60M pool, up to DKK 7M collaborative), Non-Diabetic Endocrinology Collaborative Grants (DKK 53M pool, DKK 5-10M per project), Pioneer Innovator Grant Health (DKK 1.1M), and Distinguished Innovator Grant Health (DKK 6.8M). LEO Foundation deploys DKK 2-4M per project for dermatology research excellence. Pfizer’s framing across calls deliberately separates the funding from product promotion, emphasizing measurable practice-relevant change and structural distance between scientific outputs and commercial activity. Novo Nordisk’s “use-inspired” hard filter pushes researchers toward a credible translation pathway from mechanism to deployable tool. The pattern: industry-aligned funders are running structurally independent portfolios at meaningful $ that fund implementation evidence, not promotion. In AI as Operational Capability, Not Speculation, several calls this month explicitly treat AI adoption as a near-term operational question with real evidence and governance requirements, rather than a speculative trend to be watched. Wellcome’s ESIC Hubs frames AI as “the accelerator” for evidence synthesis, asking hubs to translate technical innovation into adoption-ready workflows that can match real-world policy timelines. UNICEF Venture Fund’s new Climate Tech for Children’s Health call funds for-profit startups deploying AI, machine learning, and blockchain in low-resource environments, with a strict requirement that solutions must already have a working prototype with promising pilot results. The Water Research Foundation has launched two simultaneous AI calls treating reproducibility, cybersecurity guardrails, and human-in-the-loop deployments as core design constraints rather than nice-to-haves: one on GenAI and Agentic AI in water utilities ($200K), one on alternatives to water shutoffs that explicitly screens for implementation economics evidence. Nordic Innovation’s quantum technology call (NOK 4.5M) extends the same logic into life science and healthcare, demanding consortium-stage projects mature enough to test with real users. TEF-Health offers €300K in subsidized testing infrastructure for European healthcare AI and robotics SMEs. The pattern: funders are converting AI pilots into playbooks, requiring transfer evidence and risk controls before AI can move from experimentation to sector-wide operational practice. For LMIC-based researchers in infectious disease or evidence synthesis, the three Wellcome calls together represent the deepest concentration of LMIC-led research capital in recent memory — pair the Infectious Disease Clinical Trial Development Award (£200K, deadline May 19) as a strategic pipeline feeder into the larger Infectious Disease Clinical Trial Award (£1-£8M, deadline June 2), since the development award functions explicitly as a track into the larger trial scheme. For Nordic researchers, the four Novo Nordisk Foundation calls plus LEO Foundation and Nordic Innovation Quantum represent ~$30M in regional research capital this cycle, all with deadlines clustered in May-August. For WASH practitioners, the three Water Research Foundation calls together (each up to $200K) are a cluster worth reading across — one on AI deployment, one on shutoff alternatives, one rewarding applied innovation — and the strongest applicants will articulate how their work bridges utility operations to policy-relevant evidence. For US-based clinical researchers and educators, the four Pfizer calls plus the APF Portfolio’s 80+ programs form an unusually accessible recurring pipeline; APF’s prohibition on indirect costs is a meaningful structural feature for early-career applicants whose institutions might otherwise absorb significant overhead. Snapshot of New Opportunities Total Estimated Funding Pool: $100 Million+ USD The grants are organized into three categories: Open Calls: Current grant and opportunities with a deadline. Grants are listed by closing date. 39 open opportunities- 14 new! Rolling Applications: current grant and opportunities with rolling applications (but it’s still best to submit as early as possible). 14 rolling opportunities- 1 new opportunity! Long term planning: Grants that have closed their current rounds, but are expected to open new windows. 4 long term opportunities! A quick tip for returning readers: if you want to jump straight to the newest additions, use CTRL F to search for “New!” and navigate quickly to the latest funding opportunities This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. Open Calls: Migraine Competitive Grant Program: Migraine and Women’s Health (Quality Improvement and/or Research RFP), Pfizer.*Closing soon!* Pfizer, in collaboration with the American Headache Society, is seeking independent quality improvement and research projects that close persistent gaps in migraine care for women across the United States. The funding logic centers on measurable, practice-relevant change: proposals should generate actionable evidence, tools, or system improvements that can be shared and used widely, not just within a single site. Priority areas span menstrual migraine and screening in women’s health settings, the role of hormonal fluctuations across the lifespan, sex-specific risk factors, comorbidities and quality-of-life burden, and disparities in outcomes by race, ethnicity, and socioeconomic status. The call is structured as a two-step competitive process with an initial Letter of Intent, with the strongest concepts expected to translate scientific insight into implementable improvements in diagnosis, management, and equity. Geographies: United States. Who can apply: U.S.-based organizations (not individuals), including professional schools, healthcare institutions, professional organizations, and other entities focused on healthcare improvement. Funding amount: Up to USD $200,000 total over 2 years; total pool USD $500,000. Targeted Sectors / SDGs: Health; Focus areas: migraine, women’s health, quality improvement, clinical research, menstrual migraine, health disparities. Deadline: LOI: May 5, 2026; Full proposal (by invitation): August 28, 2026. Learn more and apply here. This RFP rewards “shareable impact”: the most competitive submissions will pair rigorous methods with a clear plan for system uptake and dissemination beyond the originating institution. ReSSARC: Strengthening the Health Sector and Food Security in the Central African Republic (AID 013381/01/0) Call for Proposals, Italian Agency for Development Cooperation (AICS). *Closing soon!* AICS is seeking a limited set of high-capacity humanitarian partners to deliver an integrated package that stabilizes essential health services while reducing acute malnutrition and strengthening food security resilience in priority areas of the Central African Republic. The funder’s logic is explicitly nexus-based: proposals should meet urgent, life-saving needs while reinforcing local systems, coordination mechanisms, and community-level capacity so results persist beyond the emergency window. AICS emphasizes inclusion and protection outcomes, expecting gender-sensitive design and explicit measures for groups facing compounded vulnerability, including women, children under five, internally displaced people, and people with disabilities. The call also signals a localization pathway, encouraging stronger collaboration with national NGOs and balanced partnerships, alongside clear coordination with existing cluster and humanitarian actors to minimize duplication and improve coverage. Geographies: Central African Republic (Bangui, Ombella-Mpoko, Ouham, Ouham-Pende, Lim-Pende, Lobaye). Who can apply: Non-profit organizations registered with AICS, plus eligible non-profits without an office in Italy that have a pre-existing collaboration agreement with an AICS-listed organization. Funding amount: Total pool EUR €1,800,000; max EUR €800,000 (single applicant) or EUR €1,000,000 (ATS). Targeted Sectors / SDGs: Health; Focus areas: malnutrition prevention and treatment, maternal and child health, community health services, food security and resilience, localization partnerships Deadline: May 5, 2026. Learn more and apply here. This call is structured to reward partners who can link frontline service delivery to system durability and localization, not just short-term coverage gains. Contracts for Innovation in drug and alcohol addiction healthcare, Innovate UK. *Closing soon!* Innovate UK, on behalf of the Office for Life Sciences Addiction Healthcare Goals program, is procuring R&D to accelerate innovations that can improve treatment outcomes, strengthen recovery, and reduce harm and deaths linked to drug and alcohol addiction. The competition is positioned as a market-facing readiness push: selected projects are expected to advance solutions toward later-stage validation, generate evidence of user acceptability and UK market fit, and map credible routes through regulatory and certification requirements. Innovate UK signals a preference for innovations that can be field-tested in relevant UK settings and progressed to TRL 6 or 7, with practical plans for commercialization after contract completion. This structure favors applicants that can execute most work in-house, co-develop with service providers and people with lived experience, and translate technical progress into deployable tools for addiction healthcare delivery. Geographies: United Kingdom. Who can apply: Single organizations of any size (including EU, EEA, or international) leading delivery, with most work and key deliverables carried out in the UK; subcontractors for specialist skills only. Funding amount: GBP £200,000–1.5 million per project (inclusive of VAT); Total pool: GBP £20 million (across two strands). Targeted Sectors / SDGs: Health; Focus areas: Mental Health, Health Systems Strengthening, Research & Development, Technology Access. Deadline: May 6, 2026 (11:00am). Learn more and apply here. This call uses procurement to pull near-market addiction innovations toward operational proof and adoption pathways in UK services.
Good Luck Getting a Mac Mini for the Next ‘Several Months’
Apple CEO Tim Cook told analysts that AI adoption has happened faster than expected.
New Survey from Harvard Business Review Analytic Services Finds AI Adoption Remains High, Yet Value May Lag Without Modernisation and Workflow Integration
Most organisations have moved beyond experimenting with artificial intelligence, but few are realising its full value. New research from Harvard Business Review Analytic Services, sponsored by Appian, finds that while 59% of organisations (who are moving forward with AI to some extent) have AI in production, the majority are currently focused on incremental gains that prioritise efficiency and productivity over top-line growth.
Adoption medicine clinics give children a healthy start
Embedded in academic health systems, these clinics assess children for physical and mental health challenges and connect families with appropriate resources.
Amazon creates 6 rules for engineers building with AI
Amazon's AI-native strategy prioritizes practical AI adoption, emphasizing balance in speed, cost, and control.
Medina school board considers new resources for science curriculum
The Medina Board of Education is considering the adoption of new resources for science students in the fourth through ninth grade. Members of the district’s curriculum committee are confident these new resources will help students to think like scientists in the classroom.
Elevating Transparency: Introducing the Palo Alto Networks SASE Health Portal
As enterprises accelerate toward hybrid work and multi-cloud adoption, SASE has become the foundation for delivering secure, seamless access everywhere.
Disney employees have an AI dashboard to track who's 'tokenmaxxing'
Disney staffers have an "AI Adoption Dashboard." One Claude user invoked the chatbot 460,000 times in nine days.
Springfield schools starts elementary science curriculum adoption process
After a two-year postponement, Springfield is rolling out its own elementary science curriculum, made from a patchwork of several different curricula. The adoption will follow an independent review process, which includes an opportunity for the public to view the materials and make comments.
Harvard Business Review Recognizes BBVA as a Benchmark for Corporate AI Adoption
Harvard Business Review has identified BBVA as an example of how expanding access to generative AI tools can channel internal demand
Advancing epidemic and pandemic preparedness through research readiness: SEAR Unity Studies Network Sites chart the way forward in 2026
On 25 March 2026, WHO Regional Office for the South‑East Asia Region (SEARO) convened the first meeting of the SEAR Chapter of the Unity Studies Network Meeting in 2026 to take stock of progress and plan next steps for strengthening epidemic and pandemic preparedness across the Region. The meeting focused on reviewing the ongoing adaptation of selected, standard Unity Study methodologies, sharing field implementation experiences from 2025, and identifying key priorities to guide collaborative work in 2026.Held virtually, the meeting brought together representatives from six Unity Studies network sites across five countries (Bangladesh, India, Nepal, Sri Lanka, and Thailand) as well as participants from all three levels of WHO.The meeting took place against the backdrop of ongoing regional efforts in South‑East Asia to strengthen early investigations and studies for epidemic and pandemic preparedness, with a focus on pandemic influenza and other emerging respiratory pathogens with epidemic and pandemic potential. In this context, and as part of preparedness for the rapid generation of evidence, the WHO Health Emergencies Programme in SEAR (WHE/SEAR) encourages Unity Studies sites to adapt prioritized, standardized Unity Study protocols to their national contexts. This approach supports the generation of timely and reliable evidence to inform public health decision‑making during epidemics and pandemics.These efforts are supported through a combination of experience sharing, participation in the global Unity Studies network webinars, capacity‑building of the national public health workforce, and regional collaboration that promotes inter‑country, inter‑agency, and inter‑ministerial action. In parallel, sites are encouraged to explore diversified funding sources to help sustain research preparedness over the long term.Discussions highlighted the importance of WHO’s catalytic financial support through the Pandemic Influenza Preparedness (PIP) Partnership Contributions (PIP‑PC). When combined with national and institutional resources, this support enables countries and sites to maintain continuity of activities at a core level and remain prepared to respond rapidly and effectively to future epidemics and pandemics.Regional and Global Updates: Opening the session, Dr Pushpa Ranjan Wijesinghe, Programme Area Manager, Pandemic and Epidemic Management (PEM) Unit, WHO Health Emergencies Programme, highlighted the progress made in operationalizing the Unity Studies Network across the Region and acknowledged the collaborative efforts of WHO at all three levels, together with country unity studies sites. He emphasized the availability of limited but catalytic funding through the Pandemic Influenza Preparedness (PIP) Partnership Contribution (PIP‑PC) workplan at SEARO to sustain network activities in 2026, while encouraging sites to leverage additional funding sources to expand implementation.Representing SEARO, Dr Ashok Basnet, consultant, Pandemic Influenza Preparedness reported that, at the regional level, the Unity Studies Network currently includes six sites across five countries: Bangladesh, India, Nepal, Sri Lanka, and Thailand. He noted that in 2025, catalytic funding supported protocol adaptation, training, and pilot implementation. In addition, a regional Unity Studies symposium held during the Global Public Health Summit in Sri Lanka strengthened and advocated collaboration between the Unity Studies site, national decision‑making forum, relevant technical units of the ministry of health, WHO and other partners.The symposium also highlighted the role of early investigations and studies as a key component of a multi‑source surveillance system needed at country level to generate a broad range of evidence. It underscored the critical role of country Unity Studies sites and similar research entities in generating evidence to support public health decision‑making during epidemics and pandemics.Participants of the WHO GISRS Unity Studies Sites Network- SEAR Chapter Meeting 2026 (Photo credit- PEM/WHE/SEARO). SEARO also updated participants on ongoing efforts to develop a regional Unity Studies webpage and to promote participation in global knowledge‑sharing platforms, including webinars and the WHO Community of Practice. Priorities for 2026 include supporting the implementation of Unity protocols, strengthening collaboration and experience sharing across sites, documenting and publishing findings, integrating Unity Studies activities as a component of multi-source national surveillance systems, and building workforce capacity.Dr Nickle Boddington of the Global Influenza Programme (GIP) at WHO Headquarters, which coordinates the Unity Studies Network globally, provided updates on global Unity Studies activities, noting that the network has expanded to 16 sites worldwide. New and updated protocols, including rapid clinical severity assessment tools and standardized data platforms, are being developed to support implementation. The global Community of Practice has also been launched to facilitate technical exchange, and continued support will be provided to sites for protocol adaptation, ethical approvals, and readiness for early investigation during outbreaks. Updates from Unity Studies sites in SEAR in 2025Unity Studies sites shared progress and experiences in implementing protocols across diverse country contexts. Sites initiated activities in 2025 using catalytic funding from SEARO, complemented by the mobilization of internal national resources. The Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh, reported the adoption and piloting of investigation protocols on non‑seasonal influenza and emerging respiratory diseases during recent avian influenza outbreaks, demonstrating a multi‑source funding approach involving government, WHO and One Health partners.The Hamdard Institute of Medical Sciences and Research (HIMSR), New Delhi, India, highlighted the piloting of household transmission investigation studies, the expansion of the national Unity Studies network, and the contribution of study findings to global evidence through published outputs. The All-India Institute of Medical Sciences (AIIMS), New Delhi, India, shared experiences from large‑scale seroprevalence studies conducted during the COVID‑19 pandemic, recent efforts to strengthen national Unity network sites through training activities, and plans to initiate multi‑centre studies on respiratory viruses.Similarly, Prince of Songkla University, Thailand, highlighted its experience in developing integrated surveillance and diagnostic protocols for multiple respiratory pathogens, enhancing readiness for targeted investigations of emerging threats. The University of Sri Jayewardenepura, Sri Lanka, reported ongoing engagement with the Ministry of Health and exploration of additional funding sources to initiate studies. Meanwhile, the National Public Health Laboratory, Nepal, provided updates on continued coordination with national stakeholders to initiate implementation, despite delays related to the country context.Across sites, shared experiences underscored the importance of protocol adaptation, multisectoral collaboration, and sustainable funding to operationalize Unity Studies and generate evidence for public health action.Discussions and Way ForwardThe meeting reinforced key priorities for 2026, including strengthening unity studies protocol implementation, enhancing collaboration, knowledge sharing, integrating research as a component of national multi-source surveillance systems, and ensuring that generated evidence informs public health decision‑making. Participants also emphasized the importance of documentation, visibility, and leveraging multiple funding sources, and agreed on the following action points.Unity Studies Sites and WHO Country Offices:Advance adoption and implementation of at least one Unity protocol, continuing activities initiated in 2025 with catalytic funding, supplemented with other sources of funding where feasible.Document site-specific experiences, outcomes, and lessons learned; participate in regional and global knowledge-sharing platforms including WHO webinars and the Community of Practice.Work closely with ministries of health to establish unified national platforms for translating generated evidence into national public health decision-making. WHO Country Offices may facilitate technical support and complementary, synergistic funding opportunities where feasible. WHO Regional OfficeCoordinate with WHO Country Offices to support implementation of core unity studies activities by network sites through catalytic funding and provide technical guidance and virtual engagement opportunities throughout 2026.Facilitate the participation of all Unity Studies sites in the regional meeting on Unity Studies implementation in October 2026, to be held back‑to‑back with the Annual SEAR Regional PIP‑PC Meeting; develop and host a SEAR Unity Studies website; and mobilize support from academic institutions within the SEAR Unity Studies Network to support the development of regional manuscripts that showcase Unity Studies activities to scientific audiences and promote knowledge‑sharing.Explore complementary funding opportunities and partnerships to sustain and expand network activities across the Region.WHO HeadquartersProvide global technical guidance, updated protocols, and toolkits to support the implementation of Unity Studies in SEAR.Facilitate engagement of SEAR sites in global webinars, the Community of Practice, and opportunities to showcase their work.Support joint publications, inclusion of SEAR experiences in global outputs, and identification of additional funding and collaborative opportunities to strengthen Unity Studies activities.
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On plant health and embracing new plant-breeding techniques in South Africa
The major challenge currently confronting South Africa’s agriculture is the spread of foot-and-mouth disease. For many farmers across the country, the most urgent tasks are both securing sufficient vaccines and rolling them out quickly in the coming months, particularly as the beef and dairy industries continue to suffer big losses. There is also pressure on sheep, goats, and other livestock to prevent the disease from spreading. As efforts to get the country through this monumental challenge continue, I believe it is important to sharpen our focus on the broader task at hand: strengthening biosecurity. This covers both animal and plant health. In recent years, we haven’t focused much on plant health, except a few times, such as when we had a goss’s wilt scare in the maize industry, a few cases of citrus black spot, or cases of sclerotinia in sunflower seeds. But the fact that South Africa managed to control the outbreaks of these particular diseases when they occurred a few years ago was due to organized agricultural and government scientific capabilities, and, most importantly, the availability of crop protection or agrochemicals necessary to address some of them. Therefore, as the animal health division in the Department of Agriculture focuses on the pressing challenge of the day, the foot-and-mouth disease, there is an opportunity for the plant health division to assess if they have all the requirements to tackle any outbreak that may occur on fruits, vegetables or crops in future. The challenge with crop diseases is that they can spread quickly and cause much more rapid damage in the field than we typically see with livestock. Therefore, speed is everything in ensuring the appropriate controls are available. I raise this as an important area, particularly given the drastic climate variation we observe across the country. The production conditions in some areas have changed noticeably over time, which may introduce new risks. The other essential part is ensuring that South Africa has access to the best crop protection technology available in the market. Many technology developers worldwide have operations in South Africa. Therefore, the Department of Agriculture, along with the Agricultural Research Council, must continuously interact with technology developers to assess the various crop protection technologies they are releasing globally and determine their suitability and need in South Africa. This will require a proactive approach from the government, unlike the current approach, in which technology developers typically approach regulators with new technologies. The government, recognising the food security risks, must take a proactive approach to ensure that South African farmers have access to the latest crop protection technologies, thereby safeguarding the country’s food security. Beyond crop protection, we must never forget that South Africa’s agriculture is key to ensuring that the country is the most food-secure country at the national level in sub-Saharan Africa. South Africa is also the only African country in the top-40 global agricultural exporters, having more than doubled since 1994 on the back of the adoption of high-yielding seed cultivars. South Africa has been the only African country to adopt a bold approach to embracing science and adopting genetically engineered seeds for grains and oilseeds in the early 2000s. Since then, we have seen crop yields improve noticeably, contributing to the gains we mentioned above. But ensuring that South Africa improves further is not a given. The key lies in South African regulators’ attitudes towards new technologies. We have to maintain a progressive approach and not give in to the politics of non-food and non-scientific voices that shout on the sidelines. Food security is national security, and the government must ensure we progress, leaning on science. Therefore, the registration of high-yielding new genomic techniques is required. South Africa cannot afford to fall behind the EU, the USA, South America, and many of its competitors in global agriculture. The Department of Agriculture’s crop science division must adopt a progress-and-science-embracing approach for the good of the country. Thanks for reading AgriView! Subscribe for free to receive new posts and support my work. Subscribe Share
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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Forum on harnessing Artificial Intelligence for health equity
Register to this forumOver the past decade, artificial intelligence (AI) has significantly evolved in complexity, performance, and utility. Its integration across a wide range of industrial sectors has accelerated, with healthcare emerging as one of the most transformative sectors. In this sector, AI has enabled high-impact applications – from enhancing the speed and accuracy of disease diagnosis and supporting clinical decision-making, to strengthening public health initiatives such as disease surveillance and workforce optimization. Moreover, AI holds immense potential to empower individuals, enabling them to take greater control of their personal health and well-being. Yet the central question remains: Who benefits, who is at risk, and do these innovations close or widen health inequities? While the potential of AI-enabled applications is substantial, many countries have approached their adoption with caution. This hesitancy stems from concerns about risks and benefits, including model bias, data breaches, privacy violations, and the erosion of professional skills due to over-reliance on AI. Additional barriers include inadequate data infrastructure and a lack of robust evidence on the most effective forms and interfaces of AI to enhance service delivery and system performance. Moreover, the rapid rise of Generative AI has introduced a heightened urgency for the development of comprehensive governance and ethical frameworks. The Asian Development Bank (ADB) Health Practice Team and Digital Sector, in collaboration with the World Health Organization (WHO) Regional Office for the Western Pacific, are convening the Forum on Harnessing AI for Health Equity on 25–26 March at ADB Headquarters. Senior health officials from 16 developing member countries (DMCs), alongside leading researchers, innovators, and policymakers from across Asia and the Pacific, will engage in discussions on how AI can be governed, financed, and scaled to deliver healthier lives for all. The forum is funded through the High-Level Technology Fund with support from the Government of Japan. Objectives The two-day forum aims to:Identify high-impact, evidence-based health AI use cases suitable for resource-constrained settings and map out a pipeline for potential supportIntroduce and validate the WHO's policy guidance on minimum necessary ecosystem for countries and institutions to self-assess readiness for AI adoptionObtain initial commitment from participating stakeholders to join a pilot regional initiative focused on data/model sharing for a priority health challengeEndorse a prioritized set of actionable policy recommendations focusing on governance, regulation, and sustainable financing necessary to scale high-impact health AI use cases in resource-constrained settings Target participants The forum will convene participants from 16 ADB DMCs including Bangladesh, Bhutan, Cambodia, Cook Islands, Fiji, Indonesia, Lao People's Democratic Republic, Mongolia, Nepal, Palau, Papua New Guinea, Philippines, Sri Lanka, Thailand, Uzbekistan, and Viet Nam. In addition, health system leaders and practitioners, private sector technologists, academic experts, representatives from civil society organizations, development partners, and philanthropic institutions engaged in AI for Health from Australia, the People’s Republic of China, Japan, Malaysia, New Zealand, Singapore, and the Republic of Korea will also be invited. SessionsDay 1 (25 March)Session 1: AI Use Cases for the Care Continuum: Improving Access and QualitySession 2: Adopting a risk-based approach for AI use case prioritizationSession 3: Establishing the Minimum Ecosystem for Implementation Risk ManagementSession 4: Future-Ready Health Workforce: Building Competency for Human-AI CollaborationDay 2 (26 March)Session 5: The Political Economy of AI in Health: Understanding Stakeholder Interests and their Impact on EquitySession 6: AI and Health Financing: Supporting Fair Coverage and ProtectionSession 7: AI Regulation and Oversight: Pathways for Different RealitiesSession 8: The Way Forward – Building Alliances and Regional Partnership How to registerThe forum will be held in a hybrid format. In-person attendance is by invitation only, while livestreaming of the forum will be available to the public. To register, please complete this form on or before 24 March 2026.Event organizers / partnersAsian Development Bank (ADB)WHO Regional Office for the Western Pacific High-Level Technology Fund (HLTF)ContactAkihito WatabeHealth Specialist, SD3-HSDawatabe@adb.org Jae Kyoun KimHealth Specialist, SD3-HSDjkkim@adb.org
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Linux Finally Catches Up to Windows with a Game-Changing Performance Feature
For years, the Linux kernel’s scheduler has been world‑class at balancing loads, yet it missed a crucial, cache‑aware instinct. In modern multi‑core systems, that gap can turn into measurable latency, especially when threads bounce between cores that don’t share the same cache. A new upstream feature, often called Cache Aware Scheduling, is now set to change that equation. A cache‑savvy scheduler arrives At the heart of any OS, the scheduler decides which thread runs where and for how long. In modern CPUs, small private caches (L1 and L2) sit beside each core, while a larger Last Level Cache (LLC, typically L3) is shared among groups of cores. When a task migrates across LLC boundaries, its warm data may vanish from the cache, forcing slower trips to main memory. Cache Aware Scheduling keeps related tasks close to their shared LLC, reducing destructive migrations. By respecting cache topology, the kernel minimizes cold‑start penalties and preserves locality that many workloads desperately need. The result is less thrashing, fewer memory stalls, and more consistent throughput. "Keep tasks close to their data, and the system will keep performance close to its peak." Why this narrows the Windows gap Windows has long leaned on topology‑aware, cache‑sensitive heuristics, especially since the Windows 10 era. That advantage helped Microsoft handle hybrid designs with P‑cores and E‑cores, plus complex cluster and NUMA layouts. With cache awareness integrated upstream, Linux brings parity to this vital dimension, without sacrificing its trademark flexibility. The Linux approach remains deeply configurable, reflecting the ecosystem’s breadth across servers, desktops, and embedded devices. It layers atop existing NUMA‑balancing and energy‑aware logic, refining placement rather than reinventing the wheel. Crucially, it aligns scheduling with the hardware’s real shape, not just with abstract CPU counts. Real‑world gains and who benefits Early tests on Intel Sapphire Rapids platforms point to gains in the 30–45% range for select workloads. Those wins appear in cache‑sensitive tasks like in‑memory analytics, high‑thread compilation, and microservices with tight working‑sets. Games and latency‑bound engines can also feel steadier frame‑times, especially when threads share hot assets. The benefits extend to AMD’s 3D V‑Cache parts, where keeping threads near enlarged cache slices prevents needless misses. Hybrid x86 designs with performance and efficiency cores further profit when cache and core roles are scheduled in concert. Even handhelds running SteamOS can squeeze more out of limited power, translating cache locality into smoother play. Key advantages include: Lower end‑to‑end latency Fewer expensive misses to RAM Better multi‑socket and NUMA behavior Improved energy efficiency More predictable QoS under mixed loads Stronger scaling on dense servers Caveats, tuning, and rollout No scheduler change is purely free, and trade‑offs still exist. Favoring locality can reduce cross‑cluster balance if limits are set too tight. Likewise, fairness and utilization must remain healthy, especially under heterogeneous, bursty workloads. Linux’s implementation is designed to be measured and tunable, not a blunt instrument. It cooperates with energy‑aware scheduling for mobile efficiency, and with NUMA‑balancers on big iron. Expect architecture‑specific refinements as vendors surface richer topology hints and cache‑sharing maps. Upstream integration has begun, with broad distribution adoption likely over the next cycles. Many users will encounter the change through standard kernel updates in 2025–2026, depending on distro cadence. Server‑class kernels may enable or tune it sooner for targeted fleets where cache locality is money in the bank. How to think about performance impact Cache Aware Scheduling amplifies gains when your workload is both CPU‑bound and cache‑sensitive. Think tight inner loops, hot code paths, and datasets that fit snugly in shared LLC. It’s less dramatic for I/O‑bound services or memory‑hungry tasks that blow past cache capacity. Still, even modest locality improvements often translate into smoother tail‑latency, which is where user experience and SLAs typically break. Developers can further help by pinning related threads, batching work, and aligning data to reduce cross‑cluster chatter. The scheduler’s new awareness works best when applications expose good hints. The bottom line By understanding and honoring cache topology, Linux removes a subtle yet costly bottleneck. The kernel’s smarter placement keeps hot data hot and work near where it belongs. That narrows a long‑standing gap with Windows, while preserving the openness and tunability Linux champions. For gamers, creators, and operators, the payoff is practical: more consistent frames, faster builds, and snappier services. For the ecosystem, it’s another step toward hardware‑savvy scheduling that turns transistor complexity into real‑world speed. And for Linux itself, it’s a timely upgrade that matches today’s silicon with tomorrow’s expectations.
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MongoDB shares plummet 27% on weak growth in cloud business, muted forecast
MongoDB's shares plunged 27% to a six-month low on Tuesday after the software firm forecast first-quarter profit below estimates and disappointed investors with slower quarterly revenue growth for its cloud database product Atlas. Revenue in the Atlas business, seen as a beneficiary of growing AI adoption, rose 29% in the fourth quarter ended January 31, down from 30% in the previous quarter, with UBS analysts highlighting that MongoDB did not offer a concrete explanation for the relatively softer performance. More than 19 of 42 analysts covering the stock lowered their price targets after the results, LSEG data showed.
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