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Permitting deal faces political crunch
Senators believe they’re closing in on a long-sought permitting deal, but looming over the talks is whether to address the politically fraught data center boom.
Louisiana business applications fall, but less sharply than in neighboring states
Louisiana saw a smaller drop in new business applications in August than the nation as a whole and each of its neighboring states, new data shows. Louisiana recorded 6,793 seasonally adjusted busin… Already an INSIDER? Sign in. Already an INSIDER? Sign in
MIT researchers are mapping extreme weather risks — and building tools to act on them
MIT researchers are translating climate science into actionable tools for extreme weather preparedness. The Climate Grand Challenges project has produced papers, digital tools, and datasets to help planners and utilities assess flood, hurricane, wildfire, and heat risks.
Spanberger bans by-right approvals, NDAs for data centers
Gov. Abigail Spanberger unveiled a data center accountability plan and and an executive order that includes creating an AI task force.
Taylor data center faces state investigation over parkland conveyance
Texas Attorney General Ken Paxton investigates a proposed data center development on land intended for parkland in Taylor.
Virginia tightens data center restrictions amid political backlash
The U.S. state of Virginia is tightening controls on data centers, with plans that include banning non-disclosure agreements for the projects, requiring stricter permitting and imposing clean energy mandates on the server warehouses, Governor Abigail Spanberger said on Friday.
Virginia Tightens Data Center Restrictions Amid Political Backlash
NEW YORK, Sept 18 (Reuters) - The U.S. state of Virginia is tightening controls on data centers, with plans that include banning non-disclosure agreements for the projects, requiring stricter permitting and imposing clean energy mandates on the server warehouses, Governor ...
USRA Contributes Planetary Science Expertise to NASA-IBM Lunar Foundation Model
/PRNewswire/ -- Universities Space Research Association (USRA) contributed planetary science expertise, lunar dataset development, and scientific evaluation to...
Acceldata Launches xFactory for Building Governed AI Applications From Business Intent, on Federated Data
Enterprises can now create AI applications and agents — executing natively on open engines including Apache Spark, Trino and Kafka — and connecting to Snowflake and Databricks, so your data stays where it is. LONDON, Sept. 18, 2026 — Acceldata has announced the launch of xFactory, a private AI software factory to build, test and deploy […]
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
High-resolution dataset tracks health impacts of urban heat stress
Heat stress is a leading cause of weather-related deaths and can be especially dangerous in cities where phenomena like urban heat islands drive temperatures higher than surrounding rural areas.
Holy Cross Health Recognized for Zero Reported Hospital-Onset
The hospital is committed to evidence-based strategies that protect patients by reducing infection risks. August 26, 2026 – Holy Cross Health is one of a select group of U.S. hospitals to be recognized in the Healthcare Associated Infections-Hospital database for reporting zero hospital-onset Methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections. The database relies on publicly reported […]
Adopt This Data Center Plushie and Hear Its Piercing Scream
The satirical collaboration between a creative studio and the music producer behind Big Data, “Bezzy” is a cute little doll that spews the sounds of real data centers.
Black moms and pregnant women forced out of their homes in metro Detroit face health and safety threats
Detroit had 20,370 eviction cases filed in 2025. But evictions that do not go through the formal court process are not included in the city’s official eviction data.
Ohio now has over 125 active moratoriums on data centers. See where they are.
Cleveland is hardly alone in hitting pause on data center work.
USRA Contributes Planetary Science Expertise to NASA-IBM Lunar Foundation Model
Open-source artificial intelligence model combines diverse lunar datasets to support scientific analysis of the MoonThe NASA-IBM model reproduces patterns of lunar ice prospectivity (scaled from blue to yellow), shown at four locations (left) near the Moon’s pole. Top row: reference ice prospectivity map of Mons Mouton near the lunar south pol...
Attorney General Blanche's appearances at political events blur Justice Department boundaries
WASHINGTON (AP) — Attorney General Todd Blanche is blurring traditional boundaries between politics and federal law enforcement with recent speeches at
MORNING BUSINESS REPORT: Reining in data center utility hikes, A.I. bot shopping, McDonald's deals
A bill to raise utility bills for data centers, A.I. bot shopping, and new McDonald's deals. Here's the Morning Business Report for Sept. 18.
American turn to villain costumes to protest city cameras
What do Darth Vader, Dr. Doom, and The Lorax have in common? People have dressed up as them to protest license-plate reader cameras and data centers.
Bolivia: New cat species discovered by scientists
Genetic data confirmed that the small feline, called "tilcayo" by locals, is a new species of cat. It's the first such discovery in more than 100 years.
Retail sales bounce back across Great Britain
Latest data to defy economic gloom shows 0.5% rise boosted by purchases of sports items, aircon units and fans amid heatwaves
Who Really Controls Your AI And Data? Why Every Business Should Care
As businesses become dependent on AI platforms and cloud services, questions over who controls their data, algorithms and digital assets are becoming impossible to ignore
Guardant Health (GH) Lands First FDA Cleared Breast Cancer Liquid Biopsy Role
Guardant Health (NasdaqGS:GH) received FDA approval for its Guardant360 CDx liquid biopsy as a companion diagnostic in advanced HR-positive, HER2-negative breast cancer. The decision makes Guardant360 CDx the first FDA approved liquid biopsy companion diagnostic for longitudinal ctDNA testing in breast cancer care. The approval is supported by clinical trial data where early detection of ESR1 mutations using Guardant360 CDx informed treatment changes for patients. The Guardant360 CDx breast...
New framework outlines principles for health-literate artificial intelligence
Artificial intelligence is rapidly becoming part of how people seek, interpret, and act on health information.
From Python and Statistics to Agentic AI: 5 Data Science Certificate Programs in 2026
Python and statistics still sit at the center of data science, but the work surrounding them has expanded. Professionals now move from cleaning data and testing hypotheses into predictive modeling, recommendation systems, deep learning, Generative AI, and applications that can retrieve information or act through external tools. That progression matters when comparing programs. A curriculum […]
Why health officials limit location details in measles cases
According to the Minnesota Government Data Practices Act, private health information collected during outbreak tracking cannot be made public.
How Data And AI Are Transforming The Life Insurance Business At Manulife
How Data and AI are Transforming the Life Insurance Business at Manulife
Snowflake CEO Ramaswamy: We have gone from a place to put data to a place for business insights
Snowflake CEO Sridhar Ramaswamy sits down with 'Mad Money' host Jim Cramer for a discussion on the company's evolution, how the company enables consumers to make data-driven decisions, how the company has transformed in the age of AI, and more.
What to know about data centers and their growing footprint in Nevada
How much water and electricity do Nevada data centers use? See where they are, their effect on Lake Mead and power bills, tax breaks, jobs and what’s next.
Democrats warn OPM’s health data collection plan goes too far
Democrats doubled down on concerns that the administration’s plan to collect detailed federal employee health data poses security risks and legal questions.
Senator blocks bill meant to lower electricity prices linked to data centers
Sen. Martin Heinrich (D-New Mexico) halted passage of a proposal that had passed the House by an overwhelming margin.
Luminis Health Care cyberattack class-action lawsuit claims unencrypted patient data exposed at AAMC
Three patients have filed a class-action lawsuit against Luminis Health Care over its cybersecurity attack.
Ratepayer bill aimed at data center buildout blocked in Senate
WASHINGTON — High-profile legislation amounting to lawmakers’ first real stab at addressing voter anger over data centers stalled in the Senate on Thursday after securing overwhelming support in the House
Reston-based data analytics firm to add 75 jobs
Through an $849,000 investment, Reston-based Data Machines plans to expand its headquarters and create 75 jobs.
Google announces new experimental "CC" AI agent for families
Multiple family members can share data to help the agent make plans and complete tasks.
Stein slams Trump’s claims on NC crime, Helene: ‘Just political nonsense’
President Donald Trump depicted North Carolina as lawless and crime-ridden during a speech in Gastonia. Public safety data shows crime is actually down, and even Trump’s own attorney general praised North Carolina’s declining crime rates.
CMU Cognitive Psychologist’s Work Has Generated Over 14,000 Language Studies
TalkBank, a family of 14 databases has become the basis for language science research on everything from how children learn to speak and how people pick up a second language to patterns that can reveal the onset of dementia.
Peyton Watson's Health Could Be Crucial To Cavaliers' Plans This Season
The Cleveland Cavaliers acquisition of Peyton Watson has the potential to be a salve for what ailed them during the past few seasons. His mere presence could he
Roundup: Space Force academy / Louisiana Innovation / Data center power
Louisiana enters race: Louisiana is seeking to become the home of a new national academy for the U.S. Space Force after President Donald Trump signed an executive order calling for its creation and NASA opened the application process to states. House Majority Leader Steve Scalise of Louisiana, Gov. Jeff Landry’s administration and regional economic development […]
Tech Sector Priority: Turning AI Into Business Value
This Week Tech: AI needs organizational order, while data and digitalization reshape energy and finance.
Ebola outbreak in Congo is still serious, African health body says
DAKAR, Sept 17 (Reuters) - The ongoing Ebola outbreak in Democratic Republic of Congo is still serious, with data indicating gaps in infection prevention and control, Africa's top public health agency
Luminis Health sued over Anne Arundel cybersecurity incident
Patients are suing Maryland hospital system Luminis Health over a cybersecurity incident, alleging that personal data was breached.
Study upends claim that affordable housing depresses NH property values
Data from a NH Housing report focused entirely on New Hampshire dispels the notion that affordable housing development in a community depresses the property values of nearby residences
Governor Morrisey announces $855,400 award to strengthen statewide health data infrastructure
Governor Morrisey announces $855,400 award to strengthen statewide health data infrastructure
Community-Centric Approaches to the Development of Data Centers
Learn more about the latest updates in legal, with expert commentary and insights from trusted attorneys from Foley Hoag LLP. Foley Hoag is a professional community of highly qualified attorneys from all over the US.
New funding boosts data archive that tracks healthy aging environments
With an $11 million award from the National Institute on Aging, University of Michigan researchers will build and share national data that track how neighborhood conditions change over time, helping scientists study how local environments affect older adults' health.
Snap's Specs AR glasses are now on pre-order, Verizon is offering data plans for them
These are standalone AR glasses that don't require a phone or computer connection to work. Snap, formerly known as Snapchat, spun off Specs, the division...
The Execution Gap is a Metadata Gap
Enterprises are treating stalled agent projects as a readiness problem. The benchmark evidence points somewhere less comfortable: hold the model constant, change only what surrounds it, and performance on real enterprise data still moves by twenty points. BigDATAwire Managing Editor Ali Azhar’s March 2026 report on Deloitte’s State of AI 2026 closed on a sentence […]
The Week in Health: Diabetic Wound Care, Public Health Workforce
Mölnlycke's diabetic amputation data, COFEPRIS's Edomex deal, and hospital groups on scale define this week's Health coverage.
Examining North Carolina’s Growing Latino Electorate
The analysis, which draws primarily on 2024 data available through the LPPI’s Latino Data Hub, finds that Latino eligible voters are a young and growing segment of the state’s electorate.
From the NCAA to the World Cup, Clemson’s inaugural Sports Business and Analytics cohort turns data into impact
According to the program, 19 students have confirmed placements and two more hold offers pending final decisions.
How attacking data centers became smart politics for the left and right in New York
U.S. Rep. Mike Lawler and Gov. Kathy Hochul don’t agree on much, but they’ve both concluded that supporting AI data centers is bad politics.
Mayor Parker has ordered a task force to study data centers in Philly and report back by June
Parker said the issue is of “grave importance.” But activists who have called on the city to pass a moratorium on data centers called her move too little, too late.
Can MRVL's Data Center Business Sustain Its Growth in 2027?
Marvell Technology's AI-driven data center growth is accelerating across custom silicon, optics and switching, but competition remains fierce.
Data & Business Process Services Stocks Q2 Recap: Benchmarking Equifax (NYSE:EFX)
Wrapping up Q2 earnings, we look at the numbers and key takeaways for the data & business process services stocks, including Equifax (NYSE:EFX) and its peers.
National Security Science and Technology Strategy Highlights Expanded Role for Export Controls, Investment Screening, and Data Security
On August 20, 2026, the White House released the National Security Science and Technology Strategy (“NSSTS“), which establishes the Trump administration’s framework for maintaining US technological leadership and protecting critical and emerging technologies. The NSSTS is organized around four pillars: (1) focusing techno-strategic competition, (2) building technological resilience, (3) accelerating innovation, and (4) protecting national
As Canadian tariffs bite, Republicans search for a winning message
Candidates in northern border states most affected try to strike a balance between appealing to Trump’s loyal base and reaching independent voters.
Alation CEO Warns That Smarter AI Agents Can Still Get Your Business Wrong
Alation CEO Satyen Sangani bets AIOS can make enterprise AI agents more reliable through independent data governance as Snowflake and Databricks expand competing tools.
Can researchers trust that AI models won’t leak their ideas?
Research funders are asking how they can stop confidential scientific ideas in grant proposals from leaking out through large language models (LLMs), for example if reviewers use AI to help them judge applications. Last week, a row erupted in mathematics after OpenAI announced it had solved a notoriously difficult problem, only for another mathematician to demand answers over whether the company had used ideas he had fed into its models. The spat, and the broader issue of idea leakage through AI models, was discussed by funders at an R&D policy conference held in Paris on September 14. At worst, it threatens to undermine the correct attribution of breakthroughs, one of the foundations of modern science. The mathematics dispute around OpenAI is “certainly something we're looking at” Jason Gallo, head of the newly established Office of Metascience at the US National Science Foundation (NSF), told the Blue Sky Forum, hosted by the Organisation for Economic Co-operation and Development. The controversy started on September 8, when OpenAI announced it had cracked a mathematical problem that had gone unsolved for 90 years. Using a swarm of AI agents, millions of dollars’ worth of computing power and a new internal model, the company said it had finally proved that a long-used formula for modelling fluid dynamics breaks down under certain conditions. However, Tristan Buckmaster, a New York University mathematician who had been independently working with collaborators on the same problem using OpenAI’s Codex tool, hit back with a statement questioning whether the company had snooped on his Codex sessions to gain an advantage. OpenAI has always denied it looked up the “specific user data” of Buckmaster and colleagues. However, the company initially admitted that “while unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models,” although its proofs “differ significantly” from Buckmaster’s. The firm later said that, following an investigation, it concluded that Buckmaster’s Codex prompts “could not have influenced the [OpenAI] system in any way, including through training.”Funder concernYet OpenAI’s initial admission that its model might have ingested Buckmaster’s ideas, then spat them out to its own mathematicians, has scientistsworriedthat their work could leak out if shared with AI. Some AI tools give users an opt-out option to stop their sessions from training the model. If such guarantees can be trusted, this gives scientists some confidence they can use an LLM to develop an idea without the risk of it leaking out.But there’s a bigger potential vulnerability. To win money to investigate ideas, scientists have to share them with funding bodies. These grant proposals are normally kept strictly confidential, to prevent other scientists from scooping them, or to protect commercially valuable intellectual property. To preserve this confidentiality, when the NSF uses AI models, “we have to be sure that it's not making server calls out to an external party, leaking that data,” said Gallo to delegates in Paris. Leaks through reviewersHowever, funders normally use external academic reviewers to assess proposals. And there are growing worries that these reviewers are feeding grant ideas into AI models to help them make a judgement. Research funders have noticed that peer review reports and funding recommendations have “suddenly become much longer, more detailed and complex,” said Diogo Machado, head of the data science unit at Technopolis, a science and technology-focused consultancy. “The sense is that reviewers are increasingly using generative AI in their review work, even where guidelines sometimes forbid it,” he told Science|Business. “This is very difficult for funders to control or prove.” Happening at scaleThis sharing of confidential proposals with AI models is “happening at scale already,” said James Wilson, executive director of the Research on Research Institute, based at University College London, during the debate in Paris. In response, Gallo said the NSF had “strict guidance” around the uploading of proposals to AI models. But he added the NSF was mulling new types of assessment to make sure applicants were truly the originators of their ideas, such as following a short-form proposal with an oral presentation, which would allow the foundation to “really interrogate the investigator on their intellectual contribution.” Related articlesHow can Europe cope with a flood of AI-assisted research grant proposals?The risks and benefits of AI in screening research grant proposals Viewpoint: AI could make scientific overload worse“For us as funders, a lot of the ways to ensure that the application remains the applicant's own intellectual contribution, those ways are quite regressive,” Peter Clifford, head of strategy at Research Ireland, told delegates. “They're maybe ten or 15 or 20 years old, and they don't scale particularly well.” Disputes over the origin of ideas are as old as modern science. Isaac Newton and Gottfried Wilhelm Leibniz spent more than a decade arguing over who invented calculus, for example. And long before LLMs emerged, academics would agonise over how much of their early work to reveal at conferences, in case their colleagues scooped them, Jack Leahy, a senior metascience advisor to the UK government, told delegates. But AI was “accelerating” the “problems of the system,” he said.
Canada looks to deepen research and education links with the EU
Canada is looking for deeper research and education links with the EU, according to its prime minister, Mark Carney. His comments followed hard on the heels of an offer from European Commission President Ursula von der Leyen to give his nation associate membership of the EU, a status that currently has no legal status or definition. Both sides have yet to detail how this newfound political enthusiasm will translate into concrete action.Addressing the European Parliament on September 17, Carney cited both the Horizon Europe research and innovation programme and the Erasmus+ student mobility scheme as areas for future collaboration.Association with the next iteration of Horizon Europe “would allow us to pool resources, cooperate on frontier technology, leverage our world-class research institutes and universities,” he told MEPs. Canada joined the present programme in 2024, but only takes part in Pillar 2, which supports collaborative research projects. Carney also said that young people should be allowed to work, study and live where they want, on either side of the Atlantic. “Canadian membership of Erasmus+ would give your students and ours more opportunity to learn at some of the world’s top universities, to broaden their horizon and to build those lasting ties that will sustain our alliance,” he said.Limited exchanges with Canada are already possible, for example in the Erasmus Mundus strand of the scheme, which supports joint master’s programmes. This would be considerably increased if the country became a full associate member, a club currently limited to nations neighbouring the EU.Most favoured nation?As for the offer of associate membership of the EU, the aim would be to build “an alliance for the future to create a common prosperity and economic security base,” von der Leyen said during her state of the European Union address, also in the European Parliament in Strasbourg, on September 16.“We will work on intelligent manufacturing,” she went on. “We will create a tech alliance. We will integrate defence industrial bases. We will make the Arctic a flagship joint project. We will work on energy-critical minerals and batteries, on [artificial intelligence], quantum, cyber and economic security.”Mona Nemer, Canada’s chief science advisor, told Science|Business that the political speeches by Carney and Von der Leyen will open the door to even more scientific cooperation between Canada and the EU. She even attributed the broader political partnership to the scientific diplomacy of Horizon Europe association. “The science and research collaborations have predated this political rapprochement,” she said.While she is not part of the government decision-making process, Nemer thinks Carney’s speech in the European Parliament is more than “political posturing” and the Canadian government is likely to come up with more practical ideas for how to boost collaboration in the near future. “The prime minister mentioned Horizon [Europe] and Erasmus+, maybe there is something more concrete around this,” she said.She went on to suggest that Canada and Europe could also work more closely together on setting international standards for emerging technologies, AI safety, data sovereignty and joint research infrastructures, such as particle accelerators and marine research fleets.Nemer confirmed that science cooperation will be on the agenda at an upcoming EU-Canada summit in October. She met recently with EU ambassadors to Canada to "see where the possibilities are, to signal that there is interest."Room for expansionLike other countries outside Europe that are associated to Horizon Europe, such as South Korea, Australia or Japan, Canada is not allowed to host European Research Council (ERC) grantees. However, Canadian universities hint they would like re-open that discussion. “Canada’s participation in Horizon Europe, the world's largest research funding programme, has been a big success,” said Robert Asselin, the chief executive of U15 Canada, an umbrella body for some of the country’s biggest research universities, in a statement. “Ensuring swift re-association to the next research programme, will be vital to maintain this momentum. We would welcome efforts to explore further opportunities to collaborate with European partners, such as through the European Research Council,” he said. Related articlesHow a new multilateral defence bank could boost innovationEurope’s independence hinges on innovation, von der Leyen saysBut so far, there are no details from the Commission on how von der Leyen’s proposal would boost Canadian access to the ERC or other sensitive research calls in Horizon Europe. And it is unclear how other non-European associated countries, such as New Zealand or Australia, would react if Canada was given better access than them. The same questions may arise closer to home. “How would a new category of associate member of the EU differ from Norway’s participation in EU programmes through the European Economic Area?” asked Jan Palmowski, secretary general of the Guild of European Research-Intensive Universities. “And how does this proposal for Canada change discussion for the UK, Norway and Switzerland for the next Multiannual Financial Framework?”Another area for discussion is how far Canadian organisations can participate in sensitive projects. “I would expect some of the most crucial issues at hand to be whether Canada can participate more closely and predictably in calls that are deemed sensitive on research security or EU preference grounds, on critical technologies, for instance,” Palmowski said. Canada’s participation in other parts of Horizon Europe, as well as the European Competitiveness Fund, might also be discussed, he added.Whatever the details, closer cooperation between the EU and Canada represents a “substantial” opportunity, according to Mattias Björnmalm, secretary general of the Cesaer university group. “Scientific excellence depends on talented people being able to work together, exchange knowledge and access complementary expertise and infrastructure,” he said. “A closer EU-Canada partnership would strengthen these conditions and provide greater certainty for long-term collaboration.”
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Scientists Finally Figured Out How Much Groundwater There Is Under the US and It Is Enough to Fill the Great Lakes 13 Times Over
Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution than ever before.
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Analysis | Trump won by latching on to popular issues. He’s doing the opposite on AI.
It's been stunning to see this president so firmly position himself on the unpopular side of the debate around AI and data centers.
ACA health coverage enrollment in NH declined by an estimated 4.8K after tax credits expired
After a set of tax credits designed to help Americans afford healthcare expired, 4,868 fewer New Hampshire residents were enrolled in ACA Marketplace healthcare plans, according to an analysis of federal data by KFF.
Across Minnesota, opposition to data centers is a political campaign season rallying cry
It's campaign season, and one issue is taking center stage: data centers. In Pine Island, a proposed hyperscale data center prompted a slate of first-time candidates to run for local office.
Most data center risks are managed in silos, report finds
A global study of 1,800 executives finds compound-shock preparedness lags far behind investment in individual-facility defenses
Blue Jays’ Spencer Miles Doing Something No One Else Is
The word faith means, by definition, belief without evidence. The Toronto Blue Jays had faith in Spencer Miles. He had hardly pitched in professional baseball when the Blue Jays took him in the Rule 5 Draft. As far as evidence goes, there wasn’t a ton. Toronto clearly had pitch data that they liked, but sample […] The post Blue Jays’ Spencer Miles Doing Something No One Else Is appeared first on HEAVY.
Luminis Health sued over alleged failure to protect patient data after cyberattack
A patient of Anne Arundel Medical Center alleges in a lawsuit that the hospital's parent company, Luminis Health, negligently failed to protect their medical information following a cybersecurity incident earlier this month, according to our media partner, The Baltimore Banner.
Leavenworth County farmers concerned proposed data center could threaten crops, local business
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House Passes Bill Taking Aim at Data Center Electricity Costs
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Benson, James pitch tariff remedies, business boosts & data center limits at Detroit Economic Club
DETROIT — The respective Republican and Democratic nominees for Michigan governor on Wednesday each proposed new solutions to the economic tariffs levied by the administration of President Donald Trump, especially those being used against Canada. Addressing the Detroit Economic Club on Wednesday afternoon in separate speaking events were Republican U.S. Rep. John James and Democrat […]
Virginia DEQ fines Microsoft $2.5M over Leesburg data center
Virignia DEQ issued about $2.5 million in penalties to Microsoft after its Leesburg data center exceeded permitted fuel and emissions limits.
Hands-On With the Redesigned Health App in the iOS 27.2 Beta
With the iOS 27.2 beta, Apple is testing the new Health app that it previewed at its September iPhone event. The app has been entirely overhauled, with new Insights and Longevity tabs that give you more information on your health and fitness metrics. Subscribe to the MacRumors YouTube channel for more videos. The Insights tab shows your most recent health data, such as Activity Rings, heart rate, sleep score, and vitals.
Hands-On With the Redesigned Health App in the iOS 27.2 Beta
With the iOS 27.2 beta, Apple is testing the new Health app that it previewed at its September iPhone event. The app has been entirely overhauled, with new Insights and Longevity tabs that give you more information on your health and fitness metrics. Subscribe to the MacRumors YouTube channel for more videos. The Insights tab shows your most recent health data, such as Activity Rings, heart rate, sleep score, and vitals.
The one issue where Republicans and Democrats are unified before the midterms, according to this poll
Americans have grown more concerned about the environmental impacts of artificial intelligence over the last year, according to a new poll from The Associated Press-NORC Center for Public Affairs Research and the Energy Policy Institute at the University of Chicago.
What Does the Science of Climate Change Really Look Like?
Editor’s Note: This is the second in a three-part series on how the Right should think about environmental and climate policy. Read Chris Barnard on Reclaiming Environmental Policy from the Left. More than a decade ago, the world’s governments negotiated and signed the Paris Climate Agreement, committing to hold global warming well below 2 degrees Celsius. In the following years, climate had immense cultural power. Greta Thunberg emerged. Fortune 500 companies established net-zero plans. The U.S. got the Inflation Reduction Act. Then the pendulum swung back. President Donald Trump returned to the Oval Office, speaking of green energy as a “scam” and carbon footprints as a “hoax” and on all matters of international policy emphasizing bilateral engagement and power over globalism and cooperation. The technology companies that had been at the forefront of net-zero pledges and green leadership discovered the importance of all-of-the-above power to their visions for artificial intelligence and began quietly postponing or removing their targets. On the left side of the political spectrum, rising concerns about inflation and cost pushed climate lower down in the stated priorities of voters and stump speeches of politicians. The moment is ripe for a reset on the politics of climate change and for conservatives especially to chart a course that acknowledges and addresses the real challenges in plausible ways. So what should we think about climate change as we enter a post-peak climate era? If it is neither an apocalypse nor a hoax, what will hold up as a durable view of climate change? And how does it project onto the concerns and priorities of the right-of-center’s emerging coalition? New to Commonplace_? Subscribe below to get the magazine in your inbox._ Subscribe A Solid Foundation As the politics and economics of climate careened over the past ten years, the physics carried on regardless. In 2015, the year the Paris Climate Agreement was adopted, the world emitted 41.2 gigatonnes of carbon dioxide. By 2025, emissions had risen only 2.4%, to 42.2 gigatonnes, because falling emissions from land use offset increasing emissions from fossil fuels. But slow growth in annual emissions is not rapid decline, let alone net-zero, so carbon dioxide kept accumulating in the atmosphere, going from 399 to 426 parts per million. Global temperature kept rising too, from about 1.1 degrees Celsius above the 1850–1900 average in 2015, to 1.4 degrees above it in 2025. None of this should surprise anyone. Even most prominent skeptics, like the authors of the 2025 report commissioned by the Trump administration’s Department of Energy, accept the basic physics. Carbon dioxide added to the atmosphere at industrial volumes accumulates and traps heat that would otherwise escape to space. That heat warms the upper ocean and increases temperatures at the surface. Increased ocean heat and melting of land ice cause sea levels to rise. Changes in the climate become noticeable to us as subtle shifts in temperature and precipitation, seasons arriving early or late, changes in the surrounding ecosystem, and weather extremes. The much more meaningful debate is not about whether these things are happening, but about what it all means for human societies. (While it is a proxy measure of overall risk, no one experiences global surface temperature.) This debate invokes at least three interesting questions: how much today’s warming is showing up in regional climate trends, how much more warming we should anticipate, and how extreme weather events can be understood in the context of climate change. Recent scientific advances give us new insights into each of these, but there is still much to learn. This is the context in which the next generation of conservative leaders will be the first to deal with significant climate change as a fact, not a forecast. It will be with them for their entire careers. Our evolving scientific picture of climate change will come from weather and climate records stretching further into the past, new kinds of observations in the present, better modeling tools for the future, and simply more time to observe the emergence of climate signals and their tangible effects on ecosystems and communities in the United States and around the world. The policy landscape will be shaped by not only the impacts of changes in the climate, but also by the ways in which societies respond and by the emergence of new technologies for both altering the trajectory of emissions and adapting to new climate realities. Global climate records now show the fingerprints of warming in different phenomena around much of the world. The IPCC, in its most recent assessment report, documents warming trends over all land regions, even as natural variability adds substantial variance to local trends. And the highest temperature extremes have become more intense and frequent, almost everywhere, since the 1950s. Scientists are highly confident that these changes are attributable to human influence. But confidence in detecting trends and attributing them to human influence degrades across heavy precipitation events; drought trends are heterogeneous and not attributable to human activity with great confidence. For hurricanes, tornadoes, and other severe storms there is even less confidence in trends or their relationship to climate change. In general, a fair summary of the evidence is that for well-observed phenomena, like surface temperature or heavy rainfall, with a clear relationship to warming, our multidecadal observations are consistent with human influence overcoming natural variability over long time periods and extremes increasing. For regions that are sampled more sparsely, or phenomena with a higher noise-to-signal ratio, we will need to observe them longer to understand the magnitude of the climate signal or improve dynamical understanding using models and observations together. But for Climate For those who can’t wait, we also have new techniques that attempt to understand the role climate change has in influencing particular extreme events. When the climate is changing and disaster strikes, it is natural to ask whether that disaster was somehow “caused” by climate change. For scientists and policymakers acting in good faith, answering that question helps develop a more accurate picture of the problem, how it may be getting worse, and what preparations we should be making to respond to it. It may, at some point, give some weight to how liability is assigned by courts or adaptation funding is distributed by society. But how we ask this question is extremely important. It is easy to get the analysis wrong by discounting the role that meteorology plays. As meteorologist Theodore Shepherd explained in a clear 2016 review of climate attribution methods, “if a weather or climate event is truly extreme in the present climate, then perforce it requires unusual meteorological conditions, which means that climate change is at most a contributing factor.” Share Scientists have two ways to probe climate as a contributing factor, both of which have entered media coverage of extreme weather events. One asks a probabilistic question: How much more likely is a particular event (e.g., a temperature record over a particular area) amid global warming? The answer involves using historical records and computer simulations to estimate the likelihood of such an event in both a changed and a preindustrial climate. The findings are less about the specific event, and more about events of that nature. The other question is: How has the changed climate affected the specific event in question? Here, scientists try to understand what a similar event would have looked like in the preindustrial climate. This is sometimes called the storyline approach, where the story is the specific meteorological details of the event. These methods offer ways to test the intuition of scientists about real weather extremes. In late June and early July of 2021, a persistent high-pressure ridge, or heat dome, set up over the Pacific Northwest and an extraordinary heat wave affected the area from Oregon to British Columbia. For six days, it shattered temperature records across the region and hundreds died from heat-related causes, in an area where such high, and persistently high, temperatures were well outside of experience and many live without air conditioning. Scientists have studied its connection to climate change using multiple approaches. This specific event was created by a rare combination of meteorological factors, a strong high-pressure ridge created the conditions for extreme heat, which occurred on top of higher average temperatures in the region from global warming. Probabilistic analyses showed that climate change increased the likelihood of such an event by at least 8-fold to more than 100-fold. One standout example found that such an event had effectively zero probability of occurring in the preindustrial climate. The enormous range in these assessments reflects how hard it is to estimate probabilities of events at the tail of the historical record. Estimates of the effect on the temperature of the event are more clustered. A recent review paper documents how multiple methodologies have found a positive influence, roughly 1-2 degrees Celsius of an anomaly that exceeded 15 degrees, of climate change on the temperature magnitude of the event. Multiple studies have investigated and found some positive influence of climate change in other extreme events. Attribution studies found climate likely increased the heavy rainfall that accompanied Hurricane Helene in North Carolina and surrounding regions in 2024. The extensive fires that struck Los Angeles in 2025 illustrate how the causal chain can become messy, though. Studies do detect a positive influence of climate on the event’s likelihood, but while climate change likely contributed to underlying aridity, it would not have played a role in the heavy winds or land practices that preceded disaster. These event attribution studies will become more common for extreme, or damaging, weather events. They can be produced quickly, and often are reported before peer review. As the Pacific Northwest heatwave example shows, when multiple methods converge on a positive attribution, the finding should probably carry some weight even if you have to be careful about accepting the results from a single study. I expect that as climate change proceeds and the climate thus departs further from a preindustrial counterfactual, the influence will become more detectable across a variety of extreme events and more easily identified. This will be used to cast blame, but can also be used to inform how communities and society adapt to ongoing change. We May Still Be Surprised One positive development, insofar as less climate change is better, has been that our central estimates for future climate change should probably be revised downward. Mostly, that is because the high-end warmings that scientists regularly analyzed about ten to 20 years ago, driven by high emissions throughout the twenty-first century, now appear to be somewhere between unlikely and impossible. At one time, the upper end of mainstream climate projections extended well into 4 to 6 degrees Celsius of warming by the end of this century, which, models suggest, would have wrought enormous real-world damage. Current energy and policy trends now point toward 2.5 or 3 degrees. Damages and risks are commonly modeled as increasing steeply with more warming, so this is already a better-than-previously-expected outcome for the climate (which is independent of the physical response to emissions). But we should maintain a wide range for plausible outcomes and prepare for the possibility of being surprised. Emissions trajectories are subject to deep uncertainty, the physical climate response is still developing, and whatever change occurs in the climate will then be mediated through unpredictable economic, social, and political institutions. Over the past decade, the pace of warming surprised some keen observers and appeared to accelerate, though not yet outside the range of expectation provided by climate models. The reasons for that apparent acceleration are being actively studied (as was the apparent pause in warming from 1998 to 2012), but no single driver has emerged. Some blame it on the El Niño, variability which would have no bearing on climate. Some think it is a result of factories in East Asia and global shipping fleets cutting aerosol emissions, which in the strongest version of the argument would indicate higher climate sensitivity to carbon-dioxide emissions. Others are more measured, not yet ready to draw solid conclusions as to whether climate projections require revision. We will have to see. Long-Term Thinking Climate change asks us to think over long time scales. But the pace of human-driven warming is compressing a large global change into a century. Changing weather patterns and extreme events are already causing adjustment costs and damages and will do more. Adaptation will help, but it is not free. For some communities, these costs will erode livelihoods and well-being, and may force migration. Are we prepared for large-scale managed retreats in the United States? Thankfully, American wealth, geographical diversity, and moderate climates may leave us better prepared than many around the world. But wealthy countries can still suffer serious disruption from narrowly concentrated costs, even if they appear entirely manageable in aggregate. Readers of Commonplace are familiar with the challenges of rapidly adapting to economic forces. The displacement that came from the China Shock is barely perceptible in aggregate GDP and employment data, but it affected millions of people and those people were far less mobile than economic models tended to assume. Deindustrialization rippled through the nation with enormous effects for not only our economic vitality, but also our national security. The forces surrounding climate change may not be so different; the world gets richer and must accept some diffuse costs. Those may be modest overall, but cause all manner of unpredictable effects with which policymakers must cope. In the case of the China Shock, our faith in a growing pie served us poorly. We’ll need to do better on climate. Leave a comment
‘Facts, science, evidence’: Commissioners OK data center health impact study
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iOS 27.2 Beta Previews New Apple Intelligence Health App
The first beta of iOS 27.2 includes Apple's redesigned Health app, giving developers a chance to try out the features ahead of launch later this year. Apple's developer notes for the feature say the Health app is being tested in this beta, but it won't be in the launch version of iOS 27.2. It will instead come later in the year. The Health app will incorporate Apple Intelligence to turn data and metrics collected by the Apple Watch into personalized guidance.
iOS 27.2 Beta Previews New Apple Intelligence Health App
The first beta of iOS 27.2 includes Apple's redesigned Health app, giving developers a chance to try out the features ahead of launch later this year. Apple's developer notes for the feature say the Health app is being tested in this beta, but it won't be in the launch version of iOS 27.2. It will instead come later in the year. The Health app will incorporate Apple Intelligence to turn data and metrics collected by the Apple Watch into personalized guidance.
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ScreenShare: A data partnership between ScreenEngine & TheWrap
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Sagtec Reports 46 Percent Gross Profit Growth and Expands International Business Momentum
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