不知道 不明了 不想要
-
A mathematical framework for optimizing robotic joints
A mathematical framework for optimizing robotic joints Consider the marvelous physics of the human knee. The largest hinge joint in the body, it has two rounded bones held together by ligaments that not only swing like a door, but also roll and glide over each other, allowing the knee to flex, extend, and balance. Go…
-
Increasing AI-generated data threatens LLM reliability: Gartner
Increasing AI-generated data threatens LLM reliability: Gartner Gartner has predicted that by 2028, 50% of organisations will implement a zero-trust posture for data governance due to the proliferation of unverified AI-generated data. “Organisations can no longer implicitly trust data or assume it was human generated,” said Wan Fui Chan, Managing VP at Gartner. “As AI-generated…
-
STAT+: FDA officials push for long-term monitoring of autoimmune patients receiving CAR-T therapy
STAT+: FDA officials push for long-term monitoring of autoimmune patients receiving CAR-T therapy Food and Drug Administration officials are advising drug developers to study the long-term effects of using CAR-T to treat patients with autoimmune conditions, out of concern the therapies could cause cancer or fertility issues. The recommendations were outlined in an op-ed published…
-
STAT+: Federal judge dismisses lawsuit against academic publishers over unpaid peer review
STAT+: Federal judge dismisses lawsuit against academic publishers over unpaid peer review A federal judge has dismissed a lawsuit filed by researchers alleging that major publishers of academic research conspired to create a set of illegal and anticompetitive business practices that exploit the scientific workforce. Scientists claimed that publishers had violated the Sherman Act, a…
-
To fix ‘spiritual malaise’ behind addiction, Kennedy announces efforts on homelessness and recovery
To fix ‘spiritual malaise’ behind addiction, Kennedy announces efforts on homelessness and recovery Health secretary Robert F. Kennedy Jr. on Monday lamented a nationwide “spiritual malaise” as he unveiled new plans to tackle the nation’s addiction and substance use epidemic, casting the initiative as a game-changing effort to align government and recovery organizations. The announcement…
-
Do mornings make cancer immunotherapy more effective? Study: Maybe
Do mornings make cancer immunotherapy more effective? Study: Maybe Over the last few years, researchers have noticed that cancer patients who get immunotherapy infusions in the morning seem to do significantly better than those who get treated later. Many scientists, even some who had published such observations, were doubtful that time of day could truly…
-
CrossCurve Threatens Legal Action After $3M Cross-Chain Bridge Exploit
CrossCurve Threatens Legal Action After $3M Cross-Chain Bridge Exploit The protocol warned it may pursue criminal and civil action after identifying addresses tied to a hack of its token transfer system. Vince Dioquino Go to decrypt.co
-
Nevada Court Grants Temporary Restraining Order Against Polymarket
Nevada Court Grants Temporary Restraining Order Against Polymarket Nevada’s court ruling against Polymarket comes as prediction markets face global regulatory pressure and bans across multiple jurisdictions. Vismaya V Go to decrypt.co
-
Bitcoin Derivatives Signal Elevated Stress Following Market Rout
Bitcoin Derivatives Signal Elevated Stress Following Market Rout Bitcoin’s weekend plunge opened a rare CME futures gap, as macro and geopolitical pressures drove a broad deleveraging. Akash Girimath Go to decrypt.co
-
UAE Royal’s Alleged Stake in Trump Crypto Venture Raises Ethical Concerns
UAE Royal’s Alleged Stake in Trump Crypto Venture Raises Ethical Concerns A foreign investment in a Trump crypto firm reportedly preceded a reversal in U.S. AI chip restrictions, prompting corruption allegations. Vince Dioquino Go to decrypt.co
-
Will Artificial Intelligence Save Humanity—Or End It?
Will Artificial Intelligence Save Humanity—Or End It? A debate featuring prominent transhumanists and futurists revealed deep divides over whether AGI can be made safe, or will inevitably threaten human survival. Jason Nelson Go to decrypt.co
-
Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models arXiv:2601.22336v1 Announce Type: new Abstract: Large-scale AI evaluation increasingly relies on aggregating binary judgments from $K$ annotators, including LLMs used as judges. Most classical methods, e.g., Dawid-Skene or (weighted) majority voting, assume annotators are conditionally independent given the true label $Yin{0,1}$, an assumption often violated by LLM…
-
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation arXiv:2601.22367v1 Announce Type: new Abstract: Generalized Bayesian Inference (GBI) tempers a loss with a temperature $beta>0$ to mitigate overconfidence and improve robustness under model misspecification, but existing GBI methods typically rely on costly MCMC or SDE-based samplers and must be re-run for each new dataset…
-
It’s all the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms
It’s all the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms arXiv:2601.22378v1 Announce Type: new Abstract: Maximum likelihood estimators (MLE) and control variate estimators (CVE) have been used in conjunction with known information across sketching algorithms and applications in machine learning. We prove that under certain conditions in an…
-
Simulation-based Bayesian inference with ameliorative learned summary statistics — Part I
Simulation-based Bayesian inference with ameliorative learned summary statistics — Part I arXiv:2601.22441v1 Announce Type: new Abstract: This paper, which is Part 1 of a two-part paper series, considers a simulation-based inference with learned summary statistics, in which such a learned summary statistic serves as an empirical-likelihood with ameliorative effects in the Bayesian setting, when the…
-
Corrected Samplers for Discrete Flow Models
Corrected Samplers for Discrete Flow Models arXiv:2601.22519v1 Announce Type: new Abstract: Discrete flow models (DFMs) have been proposed to learn the data distribution on a finite state space, offering a flexible framework as an alternative to discrete diffusion models. A line of recent work has studied samplers for discrete diffusion models, such as tau-leaping and…
-
Weekly Entering & Transitioning – Thread 02 Feb, 2026 – 09 Feb, 2026
Weekly Entering & Transitioning – Thread 02 Feb, 2026 – 09 Feb, 2026 Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include: Learning resources (e.g. books, tutorials, videos) Traditional education (e.g. schools, degrees, electives) Alternative education (e.g.…
-
Am I drifting away from Data Science, or building useful foundations? (2 YOE working in a startup, no coding)
Am I drifting away from Data Science, or building useful foundations? (2 YOE working in a startup, no coding) I’m looking for some career perspective and would really appreciate advice from people working in or around data science. I’m currently not sure where exactly is my career heading and want to start a business eventually…
-
What separates data scientists who earn a good living (100k-200k) from those who earn 300k+ at FAANG?
What separates data scientists who earn a good living (100k-200k) from those who earn 300k+ at FAANG? Is it just stock options and vesting? Or is it just FAANG is a lot of work. Why do some data scientists deserve that much? I work at a Fortune 500 and the ceiling for IC data scientists…
-
Brainstorming around the visualization of customer segment data
Brainstorming around the visualization of customer segment data submitted by /u/SingerEast1469 [link] [comments] /u/SingerEast1469 Go to original source
-
Building “Auto-Analyst” — A data analytics AI agentic system
Building “Auto-Analyst” — A data analytics AI agentic system submitted by /u/phicreative1997 [link] [comments] /u/phicreative1997 Go to original source
-
Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization
Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization Leveraging massive parallelism, asynchronous updates, and multi-machine training to match and exceed human-level performance The post Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization appeared first on Towards Data Science. Sam Black Go to original source
-
Inner ‘self-talk’ helps AI models learn, adapt and multitask more easily
Inner ‘self-talk’ helps AI models learn, adapt and multitask more easily Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, and understand our emotions. But it’s not just humans who can reap the benefits of such self-talk. Go to techxplore
-
Nvidia boss insists ‘huge’ investment in OpenAI on track
Nvidia boss insists ‘huge’ investment in OpenAI on track Nvidia chief executive Jensen Huang has insisted the US tech giant will make a “huge” investment in OpenAI and dismissed as “nonsense” reports that he is unhappy with the generative AI star. Go to techxplore
-
A chatbot entirely powered by humans, not artificial intelligence? This Chilean community shows why
A chatbot entirely powered by humans, not artificial intelligence? This Chilean community shows why About 50 residents of a community outside Chile’s capital spent Saturday trying their best to power an entirely human-operated chatbot that could answer questions and make silly pictures on command, in a message to highlight the environmental toll of artificial intelligence…
-
AI at scale demands a new approach to data resilience and privacy
AI at scale demands a new approach to data resilience and privacy Australian organisations are embedding AI into core business processes, customer interactions and operational decision making. AI has become an enterprise dependency and requires organisations to fundamentally rethink their data resilience and privacy strategies. This year, Data Privacy Week took on a different significance. This…
-
Crypto Crash: Liquidations Top $2.5 Billion as Bitcoin, Ethereum and XRP Prices Plummet
Crypto Crash: Liquidations Top $2.5 Billion as Bitcoin, Ethereum and XRP Prices Plummet The crypto market’s recent decline only accelerated Saturday, with Bitcoin falling to nearly $77,000 as liquidations piled up. Andrew Hayward Go to decrypt.co
-
India Faces Pressure to Rethink Crypto Taxes Ahead of Union Budget as Trading Shifts Offshore
India Faces Pressure to Rethink Crypto Taxes Ahead of Union Budget as Trading Shifts Offshore Industry leaders are pushing for tax reform as traders flee offshore, draining domestic exchanges and undermining regulatory oversight. Vismaya V Go to decrypt.co
-
How to Apply Agentic Coding to Solve Problems
How to Apply Agentic Coding to Solve Problems Learn how to efficiently solve problems with coding agents The post How to Apply Agentic Coding to Solve Problems appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
-
How to Run Claude Code for Free with Local and Cloud Models from Ollama
How to Run Claude Code for Free with Local and Cloud Models from Ollama Ollama now offers Anthropic API compatibility The post How to Run Claude Code for Free with Local and Cloud Models from Ollama appeared first on Towards Data Science. Thomas Reid Go to original source
-
Geometry behind how AI agents learn revealed
Geometry behind how AI agents learn revealed A new study from the University at Albany shows that artificial intelligence systems may organize information in far more intricate ways than previously thought. The study, “Exploring the Stratified Space Structure of an RL Game with the Volume Growth Transform,” has been published online through arXiv. Go to…
-
Taking the heat out of industrial chemical separations
Taking the heat out of industrial chemical separations The modern world runs on chemicals and fuels that require a huge amount of energy to produce: Industrial chemical separation accounts for 10% to 15% of the world’s total energy consumption. That’s because most separations today rely on heat to boil off unwanted materials and isolate compounds.…
-
Supercomputer simulations reveal how to keep hydrogen flames stable
Supercomputer simulations reveal how to keep hydrogen flames stable Solar panels and wind turbines increasingly dot the landscape, but the future of clean energy may well depend on how smoothly we burn hydrogen. Yet as anyone who’s lit a gas grill or fireplace knows, igniting a flame can be a bit tricky. Imagine how complex…
-
Mesh bioreactor achieves 20‑fold efficiency increase and 50% cost reduction for wastewater treatment
Mesh bioreactor achieves 20‑fold efficiency increase and 50% cost reduction for wastewater treatment A Hong Kong University of Science and Technology (HKUST) research team has developed a wastewater treatment technology that integrates a mesh bioreactor with an ultrasound-induced transient cavitation cleaning mechanism. The system can complete mesh cleaning within 3.8 seconds under anaerobic conditions and…
-
Drone technology set to reshape disaster response, health care, environmental management, farming, cybersecurity
Drone technology set to reshape disaster response, health care, environmental management, farming, cybersecurity Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, logistics, archaeology, environmental monitoring, and numerous other fields vital to human development, scientists say in new research. Go to…
-
Opinion: STAT readers on shared decision-making, prostate cancer screening, and more
Opinion: STAT readers on shared decision-making, prostate cancer screening, and more First Opinion is STAT’s platform for interesting, illuminating, and provocative articles about the life sciences writ large, written by biotech insiders, health care workers, researchers, and others. To encourage robust, good-faith discussion about issues raised in First Opinion essays, STAT publishes selected Letters to…
-
Bitcoin Mining Profits Hit 14-Month Low After Winter Storm Rocks Miners: CryptoQuant
Bitcoin Mining Profits Hit 14-Month Low After Winter Storm Rocks Miners: CryptoQuant Bitcoin miners are “extremely underpaid” given the price of Bitcoin and current BTC mining conditions, according to a CryptoQuant report. Logan Hitchcock Go to decrypt.co
-
Gold Is the Real Bubble, Says Ark Invest’s Cathie Wood—Not AI
Gold Is the Real Bubble, Says Ark Invest’s Cathie Wood—Not AI Tech investor Cathie Wood isn’t worried about an AI bubble, instead singling out gold as the real ongoing asset bubble. Logan Hitchcock Go to decrypt.co
-
Experts Warn Data Center Backlash Could Slow AI Infrastructure Growth
Experts Warn Data Center Backlash Could Slow AI Infrastructure Growth A new Brookings report says binding community benefit agreements are increasingly necessary as local opposition mounts over AI data centers. Jason Nelson Go to decrypt.co
-
Bitcoin Price Holds Steady as Gold Falls and Silver Craters
Bitcoin Price Holds Steady as Gold Falls and Silver Craters Bitcoin stays resilient while gold and silver see historic crashes amid Fed chair nomination fears and shifting rate expectations. Stacy Elliott Go to decrypt.co
-
AI Agents Launched a Social Network and Spawned a Digital Religion Overnight
AI Agents Launched a Social Network and Spawned a Digital Religion Overnight Autonomous agents on an AI-centric social network spontaneously founded “Crustafarianism”—complete with scripture, prophets, and theology. Josh Quittner Go to decrypt.co
-
Creating an Etch A Sketch App Using Python and Turtle
Creating an Etch A Sketch App Using Python and Turtle A beginner-friendly Python tutorial The post Creating an Etch A Sketch App Using Python and Turtle appeared first on Towards Data Science. Mahnoor Javed Go to original source
-
Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents”
Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents” Hard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy of core agent types. The post Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents” appeared first…
-
On the Possibility of Small Networks for Physics-Informed Learning
On the Possibility of Small Networks for Physics-Informed Learning A new kind of hyperparameter study The post On the Possibility of Small Networks for Physics-Informed Learning appeared first on Towards Data Science. Conor Rowan Go to original source
-
Multi-Attribute Decision Matrices, Done Right
Multi-Attribute Decision Matrices, Done Right How to structure decisions, identify efficient options, and avoid misleading value metrics The post Multi-Attribute Decision Matrices, Done Right appeared first on Towards Data Science. Josiah DeValois Go to original source
-
Why ethical use of data is so important to enterprises
Why ethical use of data is so important to enterprises Enterprises that don’t use data ethically have a lot to lose. To maintain their businesses’ trustworthiness and value, executives must craft a comprehensive, transparent strategy. Go to techtarget
-
Druva Threat Watch to Provide Proactive, Continuous Threat Detection
Druva Threat Watch to Provide Proactive, Continuous Threat Detection Druva, a leading provider of data security, is introducing Threat Watch, a zero-touch, automated cloud-native solution for proactive threat monitoring of backup data. Go to dbta
-
Etleap Introduces a New Managed Pipeline Layer Created for Apache Iceberg
Etleap Introduces a New Managed Pipeline Layer Created for Apache Iceberg Etleap, a provider of cloud-native data pipeline software, is launching the Iceberg pipeline platform, a new kind of pipeline system designed specifically for?Apache Iceberg. Go to dbta
-
Novel membrane boosts water electrolysis performance in low-alkalinity conditions
Novel membrane boosts water electrolysis performance in low-alkalinity conditions As green hydrogen emerges as a key next-generation clean energy source, securing technologies that enable its stable and cost-effective production has become a critical challenge. However, conventional water electrolysis technologies face limitations in large-scale deployment due to high system costs and operational burdens. Go to techxplore
-
New study unveils ultra-high sensitivity broadband flexible photodetectors
New study unveils ultra-high sensitivity broadband flexible photodetectors A research team, affiliated with UNIST, has unveiled a flexible photodetector, capable of converting light across a broad spectrum—from visible to near-infrared—into electrical signals. This innovation promises significant advancements in technologies that require simultaneous detection of object colors and internal structures or materials. Go to techxplore
-
As fossil fuel use declines, experts urge planning and coordination to prevent chaotic collapse
As fossil fuel use declines, experts urge planning and coordination to prevent chaotic collapse As the world shifts toward renewable energy sources, some experts warn that a lack of planning for the retirement of fossil fuels could lead to a disorderly and dangerous collapse of existing systems that could prolong the transition to green energy.…
-
‘Thermal diode’ design promises to improve heat regulation, prolonging battery life
‘Thermal diode’ design promises to improve heat regulation, prolonging battery life New technology from University of Houston researchers could improve the way devices manage heat, thanks to a technique that allows heat to flow in only one direction. The innovation is known as thermal rectification, and was developed by Bo Zhao, an award-winning and internationally…
-
Study solves key micro-LED challenges, enabling ‘reality-like’ visuals for AR/VR devices
Study solves key micro-LED challenges, enabling ‘reality-like’ visuals for AR/VR devices From TVs and smartwatches to rapidly emerging VR and AR devices, micro-LEDs are a next-generation display technology in which each LED—smaller than the thickness of a human hair—emits light on its own. Among the three primary colors required for full-color displays—red, green, and blue—the…
-
STAT+: Up and down the ladder: The latest comings and goings
STAT+: Up and down the ladder: The latest comings and goings Hired someone new and exciting? Promoted a rising star? Finally solved that hard-to-fill spot? Share the news with us, and we’ll share it with others. That’s right. Send us your changes, and we’ll find a home for them. Don’t be shy. Everyone wants to know who is…
-
STAT+: New rule would force PBMs to disclose drug rebates and other fees
STAT+: New rule would force PBMs to disclose drug rebates and other fees Pharmacy benefit managers face new, sweeping requirements to disclose all the different ways they get money from providing drug coverage. The proposed rule from the Department of Labor published on Thursday would be a significant change for an industry that shields prescription…
-
Newsom files a civil rights complaint against CMS’ Oz in latest feud with the Trump administration
Newsom files a civil rights complaint against CMS’ Oz in latest feud with the Trump administration LOS ANGELES — California Gov. Gavin Newsom’s office is demanding a civil rights investigation of Dr. Mehmet Oz, saying he discriminated against Armenians in a video claiming hospice fraud in Los Angeles, the latest front in the state’s ongoing battle with the…
-
STAT+: AstraZeneca looks to China for obesity drug candidates
STAT+: AstraZeneca looks to China for obesity drug candidates Want to stay on top of the science and politics driving biotech today? Sign up to get our biotech newsletter in your inbox. Oh, hi. Today, we discuss delays in the launch of TrumpRx. Also, Sanofi is deprioritizing its mRNA flu vaccine. The need-to-know this morning Regeneron Pharmaceuticals…
-
STAT+: Pharmalittle: We’re reading about TrumpRx questions, drugmakers lowering some prices, and more
STAT+: Pharmalittle: We’re reading about TrumpRx questions, drugmakers lowering some prices, and more And so, another working week will soon come to an end. This is, you may recall, our treasured signal to daydream about weekend plans. Our agenda is rather modest. Other than enjoying a symphony, we plan to sharpen our shovels and dig…
-
Democrats Press DOJ Deputy Over Crypto Holdings, Enforcement Retreat
Democrats Press DOJ Deputy Over Crypto Holdings, Enforcement Retreat A group of Democratic senators is pressing the Justice Department over ethics questions tied to a rollback in crypto enforcement. Vismaya V Go to decrypt.co
-
Bitcoin Slips to $82K as Liquidations Spike to $1.7B
Bitcoin Slips to $82K as Liquidations Spike to $1.7B Bitcoin has hit a nine-month low of $82,134 amid escalating policy shifts, including President Trump’s Friday Fed Chair announcement. Akash Girimath Go to decrypt.co
-
Tech Giants Circle OpenAI in Funding Round That Could Top $100 Billion
Tech Giants Circle OpenAI in Funding Round That Could Top $100 Billion Amazon’s talks could make it one of OpenAI’s biggest backers as the AI company continues to forge ahead with plans for an IPO this year. Jason Nelson Go to decrypt.co
-
US Finalizes Forfeiture of $400 Million Tied to Helix Darknet Mixer
US Finalizes Forfeiture of $400 Million Tied to Helix Darknet Mixer The mixer processed hundreds of millions of dollars in Bitcoin that prosecutors say were tied to illicit activity on the dark web. Vince Dioquino Go to decrypt.co
-
Strategy, BitMine Stock Prices Dive as Bitcoin and Ethereum Sink
Strategy, BitMine Stock Prices Dive as Bitcoin and Ethereum Sink Leading crypto treasury firms BitMine and Strategy both saw their stocks plunge nearly 10% amid broader market uncertainty, as a possible U.S. government shutdown looms. Stacy Elliott Go to decrypt.co
-
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators arXiv:2601.20888v1 Announce Type: new Abstract: We study sampling from posterior distributions in Bayesian linear inverse problems where $A$, the parameters to observables operator, is computationally expensive. In many applications, $A$ can be factored in a manner that facilitates the construction of a cost-effective approximation $tilde{A}$.…
-
Efficient Causal Structure Learning via Modular Subgraph Integration
Efficient Causal Structure Learning via Modular Subgraph Integration arXiv:2601.21014v1 Announce Type: new Abstract: Learning causal structures from observational data remains a fundamental yet computationally intensive task, particularly in high-dimensional settings where existing methods face challenges such as the super-exponential growth of the search space and increasing computational demands. To address this, we introduce VISTA (Voting-based…
-
A Diffusive Classification Loss for Learning Energy-based Generative Models
A Diffusive Classification Loss for Learning Energy-based Generative Models arXiv:2601.21025v1 Announce Type: new Abstract: Score-based generative models have recently achieved remarkable success. While they are usually parameterized by the score, an alternative way is to use a series of time-dependent energy-based models (EBMs), where the score is obtained from the negative input-gradient of the energy.…
-
Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes
Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes arXiv:2601.21026v1 Announce Type: new Abstract: Sampling configurations at thermodynamic equilibrium is a central challenge in statistical physics. Boltzmann Generators (BGs) tackle it by combining a generative model with a Monte Carlo (MC) correction step to obtain asymptotically unbiased samples from an unnormalized target. Most current BGs…
-
An efficient, accurate, and interpretable machine learning method for computing probability of failure
An efficient, accurate, and interpretable machine learning method for computing probability of failure arXiv:2601.21089v1 Announce Type: new Abstract: We introduce a novel machine learning method called the Penalized Profile Support Vector Machine based on the Gabriel edited set for the computation of the probability of failure for a complex system as determined by a threshold…
-
The Unbearable Lightness of Coding
The Unbearable Lightness of Coding Confessions of a vibe coder The post The Unbearable Lightness of Coding appeared first on Towards Data Science. Elena Jolkver Go to original source
-
Randomization Works in Experiments, Even Without Balance
Randomization Works in Experiments, Even Without Balance Randomization usually balances confounders in experiments, but what happens when it doesn’t? The post Randomization Works in Experiments, Even Without Balance appeared first on Towards Data Science. Jarom Hulet Go to original source
-
Datadog Acquires Propolis with Goal to Transform Modern GenAI Testing and Quality Assurance
Datadog Acquires Propolis with Goal to Transform Modern GenAI Testing and Quality Assurance Datadog announced the acquisition of Propolis, a QA testing platform that specifically tackles goal- and output-oriented testing. According to the vendors, by combining Propolis with Datadog’s deep production context?including traces, logs, and Real User Monitoring (RUM) data?creating a solution to truly automate…
-
Bedrock Data Extends DSPM to Atlassian Confluence to Prevent Sensitive Data Exposure
Bedrock Data Extends DSPM to Atlassian Confluence to Prevent Sensitive Data Exposure Bedrock Data, a modern DSPM platform provider for data-centric security, governance, and management, announced native support for Atlassian Confluence to bring data security visibility into unstructured SaaS collaboration environments that increasingly serve as both repositories for sensitive enterprise information and inputs for AI…
-
Platform Engineering Labs Enhances formae with Multi-Cloud Support
Platform Engineering Labs Enhances formae with Multi-Cloud Support Platform Engineering Labs?is updating formae, its open source Infrastructure-as-Code (IaC) platform, adding beta support for four additional cloud providers and evolving formae into a platform designed to be extended directly by infrastructure builders. Go to dbta
-
Stop Leaks in Your Cloud Bill with Quest Software
Stop Leaks in Your Cloud Bill with Quest Software As Snowflake footprints expand, organizations are under growing pressure to?prove value, control spend, and?deliver consistent performance. But FinOps dashboards often miss the real problem: not just compute, but?waste. Go to dbta
-
Build Intelligent, Scalable, and Autonomous Databases with MariaDB Cloud
Build Intelligent, Scalable, and Autonomous Databases with MariaDB Cloud Whether you’re an enterprise architect, a DBA, or an application developer, a recent DBTA webinar offered a clear path to reducing complexity and accelerating innovation with MariaDB Cloud. Go to dbta
-
Discoveries in testing solid-fuel ramjets advance research
Discoveries in testing solid-fuel ramjets advance research Scientists at the U.S. Naval Research Laboratory are developing the next generation of solid-fuel ramjet (SFRJ) propulsion, addressing one of the field’s most persistent challenges: understanding and predicting what happens inside an operating combustor. Go to techxplore
-
America is falling behind in the global EV race. That’s going to cost the US auto industry
America is falling behind in the global EV race. That’s going to cost the US auto industry At the 2026 Detroit Auto Show, the spotlight quietly shifted. Electric vehicles, once framed as the inevitable future of the industry, were no longer the centerpiece. Instead, automakers emphasized hybrids, updated gasoline models and incremental efficiency improvements. Go…
-
Heat from deep underground could help power global clean energy transition
Heat from deep underground could help power global clean energy transition New technologies developed to extract oil and gas from deep within Earth have also opened the door to accessing super-high temperature heat just about anywhere. These enhanced geothermal systems (EGS) could play a valuable role in the global transition to clean, renewable energy and…
-
Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more energy-efficient computation. In this computing method, input data are encoded as a set of temperatures using the…
-
Speeding the path to synthetic jet fuel with AI, automation and biosensors
Speeding the path to synthetic jet fuel with AI, automation and biosensors When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes from petroleum, as batteries don’t yet deliver enough punch for most flights. Scientists have long dreamed of a synthetic alternative: teaching microbes to…
-
SCX.ai launches Australia’s first sovereign AI node
SCX.ai launches Australia’s first sovereign AI node Australian full-stack AI provider SCX.ai has gone live with Australia’s first sovereign AI infrastructure node in Sydney. The deployment at the Equinix SY5 International Business Exchange data centre at Alexandria has been designed to provide AI inferencing at 10 times the efficiency of traditional GPU-based systems while eliminating the…
-
Dynatrace unveils agentic operations system
Dynatrace unveils agentic operations system AI-powered observability platform provider Dynatrace has unveiled Dynatrace Intelligence, an agentic operations system designed to combine deterministic and agentic AI. The solution is built to observe and optimise dynamic AI workloads to enable customers to build more intelligent applications and drive autonomous action across modern digital ecosystems. The company said…
-
STAT+: Trump’s latest deal: $600 million of tech company discounts to help implement Medicaid work requirements
STAT+: Trump’s latest deal: $600 million of tech company discounts to help implement Medicaid work requirements Ten technology vendors are offering $600 million worth of discounts to states that pick them to help implement Medicaid work requirements, the Trump administration announced Thursday, signaling how lucrative they think the sweeping change could be. Mehmet Oz, administrator…
-
The high stakes for Huntington’s patients
The high stakes for Huntington’s patients Biotech company UniQure is set to meet with the Food and Drug Administration to discuss the path forward for its gene therapy for Huntington’s disease, and the outcome could be potentially devastating for patients. That’s what patient advocate Lauren Holder says on the latest episode of “The Readout LOUD,”…
-
STAT+: Senators raise concerns about TrumpRx in letter to HHS watchdog
STAT+: Senators raise concerns about TrumpRx in letter to HHS watchdog The Trump administration soon plans to launch TrumpRx, a website it says will allow patients to buy prescription drugs directly from pharmaceutical companies at a discount. Over several months, the administration has made deals with more than a dozen pharmaceutical manufacturers to expand access…
-
Genes influence human lifespan far more than thought, new study suggests
Genes influence human lifespan far more than thought, new study suggests For researchers studying aging — and thinking about how to extend our lives — a key question has been how much our genes shape our lifespans. Past studies have arrived at a range of answers. Many researchers had coalesced around an estimate that roughly…
-
STAT+: States are the next vaccine battleground
STAT+: States are the next vaccine battleground You’re reading the web edition of D.C. Diagnosis, STAT’s twice-weekly newsletter about the politics and policy of health and medicine. Sign up here to receive it in your inbox on Tuesdays and Thursdays. I’d call it a xeet-down, but I can’t tell who won this heated exchange on X between…
-
Robinhood CEO Says GameStop Incident Was a Wake-Up Call for Tokenization
Robinhood CEO Says GameStop Incident Was a Wake-Up Call for Tokenization Robinhood is once again blaming the GameStop crisis on infrastructure, but experts point to undercapitalization. Vismaya V Go to decrypt.co
-
Australia Fines Qoin Wallet Operator $14 Million for Unlicensed Activity
Australia Fines Qoin Wallet Operator $14 Million for Unlicensed Activity The ruling marks one of the largest court-imposed penalties yet tied to crypto marketing practices in Australia. Vince Dioquino Go to decrypt.co
-
Brave Bets on Social Heist Puzzles to Pull Players Into Its Gaming Push
Brave Bets on Social Heist Puzzles to Pull Players Into Its Gaming Push The privacy-focused browser developer is testing whether gamified competition can pull new users into Web3 gaming. Jason Nelson Go to decrypt.co
-
SEC Says Tokenized Assets Are Securities First, Technology Second
SEC Says Tokenized Assets Are Securities First, Technology Second The SEC said Wednesday blockchain-based recordkeeping does not alter investor protections, while leaving unresolved how crypto-native products fit into existing law. Vince Dioquino Go to decrypt.co
-
OpenAI Rolls Out Free Science Platform Prism as Experts Warn of Privacy Concerns
OpenAI Rolls Out Free Science Platform Prism as Experts Warn of Privacy Concerns Prism aims to move ChatGPT into scientific writing as OpenAI signals plans to share in future profits. Some are warning against its pitfalls. Jason Nelson Go to decrypt.co
-
Deep Neural Networks as Iterated Function Systems and a Generalization Bound
Deep Neural Networks as Iterated Function Systems and a Generalization Bound arXiv:2601.19958v1 Announce Type: new Abstract: Deep neural networks (DNNs) achieve remarkable performance on a wide range of tasks, yet their mathematical analysis remains fragmented: stability and generalization are typically studied in disparate frameworks and on a case-by-case basis. Architecturally, DNNs rely on the recursive…
-
Minimax Rates for Hyperbolic Hierarchical Learning
Minimax Rates for Hyperbolic Hierarchical Learning arXiv:2601.20047v1 Announce Type: new Abstract: We prove an exponential separation in sample complexity between Euclidean and hyperbolic representations for learning on hierarchical data under standard Lipschitz regularization. For depth-$R$ hierarchies with branching factor $m$, we first establish a geometric obstruction for Euclidean space: any bounded-radius embedding forces volumetric collapse,…
-
Efficient Evaluation of LLM Performance with Statistical Guarantees
Efficient Evaluation of LLM Performance with Statistical Guarantees arXiv:2601.20251v1 Announce Type: new Abstract: Exhaustively evaluating many large language models (LLMs) on a large suite of benchmarks is expensive. We cast benchmarking as finite-population inference and, under a fixed query budget, seek tight confidence intervals (CIs) for model accuracy with valid frequentist coverage. We propose Factorized…
-
Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging arXiv:2601.20269v1 Announce Type: new Abstract: Machine learning models in high-stakes applications, such as recidivism prediction and automated personnel selection, often exhibit systematic performance disparities across sensitive subpopulations, raising critical concerns regarding algorithmic bias. Fairness auditing addresses these risks through two primary functions: certification, which verifies adherence to…