不知道 不明了 不想要
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OpenAI and Anthropic Roll Out Rival AI Models as Competition for Enterprise Heats Up
OpenAI and Anthropic Roll Out Rival AI Models as Competition for Enterprise Heats Up OpenAI and Anthropic released new flagship AI models within hours of each other on Thursday, with benchmark results suggesting they’re optimized for different strengths. Jose Antonio Lanz Go to decrypt.co
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Finite-Particle Rates for Regularized Stein Variational Gradient Descent
Finite-Particle Rates for Regularized Stein Variational Gradient Descent arXiv:2602.05172v1 Announce Type: new Abstract: We derive finite-particle rates for the regularized Stein variational gradient descent (R-SVGD) algorithm introduced by He et al. (2024) that corrects the constant-order bias of the SVGD by applying a resolvent-type preconditioner to the kernelized Wasserstein gradient. For the resulting interacting $N$-particle…
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Total Variation Rates for Riemannian Flow Matching
Total Variation Rates for Riemannian Flow Matching arXiv:2602.05174v1 Announce Type: new Abstract: Riemannian flow matching (RFM) extends flow-based generative modeling to data supported on manifolds by learning a time-dependent tangent vector field whose flow-ODE transports a simple base distribution to the data law. We develop a nonasymptotic Total Variation (TV) convergence analysis for RFM samplers…
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Radon–Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions
Radon–Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions arXiv:2602.05227v1 Announce Type: new Abstract: Gradient flows of the Kullback–Leibler (KL) divergence, such as the Fokker–Planck equation and Stein Variational Gradient Descent, evolve a distribution toward a target density known only up to a normalizing constant. We introduce new gradient flows of the KL divergence with…
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Logarithmic-time Schedules for Scaling Language Models with Momentum
Logarithmic-time Schedules for Scaling Language Models with Momentum arXiv:2602.05298v1 Announce Type: new Abstract: In practice, the hyperparameters $(beta_1, beta_2)$ and weight-decay $lambda$ in AdamW are typically kept at fixed values. Is there any reason to do otherwise? We show that for large-scale language model training, the answer is yes: by exploiting the power-law structure of…
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Decision-Focused Sequential Experimental Design: A Directional Uncertainty-Guided Approach
Decision-Focused Sequential Experimental Design: A Directional Uncertainty-Guided Approach arXiv:2602.05340v1 Announce Type: new Abstract: We consider the sequential experimental design problem in the predict-then-optimize paradigm. In this paradigm, the outputs of the prediction model are used as coefficient vectors in a downstream linear optimization problem. Traditional sequential experimental design aims to control the input variables (features)…
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Mechanistic Interpretability: Peeking Inside an LLM
Mechanistic Interpretability: Peeking Inside an LLM Are the human-like cognitive abilities of LLMs real or fake? How does information travel through the neural network? Is there hidden knowledge inside an LLM? The post Mechanistic Interpretability: Peeking Inside an LLM appeared first on Towards Data Science. Julian Mendel Go to original source
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Why Is My Code So Slow? A Guide to Py-Spy Python Profiling
Why Is My Code So Slow? A Guide to Py-Spy Python Profiling Stop guessing and start diagnosing performance issues using Py-Spy The post Why Is My Code So Slow? A Guide to Py-Spy Python Profiling appeared first on Towards Data Science. Kenneth McCarthy Go to original source
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The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas
The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas A simple mental model to remember when each one works (with examples that finally click). The post The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas appeared first on Towards Data Science. Ibrahim Salami Go to original source
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Top 19 contact center platforms of 2026
Top 19 contact center platforms of 2026 By now, many contact center software providers offer similar features. But large and small enterprises should consider some key differences among vendors. Go to techtarget
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Databricks launches PostgreSQL Lakebase to aid AI developers
Databricks launches PostgreSQL Lakebase to aid AI developers Resulting from the $1B acquisition of Neon, the database built for AI workloads — including separate compute and storage — is now integrated with the vendor’s broader platform. Go to techtarget
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Cyberhaven Introduces Unified AI and Data Security Platform
Cyberhaven Introduces Unified AI and Data Security Platform Cyberhaven is releasing its Data Security Posture Management solution, a key part of its unified AI and data security platform, purpose-built to protect sensitive data wherever it lives and goes, including endpoints, SaaS, cloud, on-prem environments, and AI workflows. Go to dbta
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Halcyon and Dell Collaborate to Equip Commercial PCs with Ransomware Resilience
Halcyon and Dell Collaborate to Equip Commercial PCs with Ransomware Resilience Halcyon, a leading anti-ransomware platform, announced a collaboration to create commercial PCs equipped for ransomware resilience and bring them to market. Go to dbta
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AI-powered solar aquaculture reveals a scalable pathway for food, energy and climate action
AI-powered solar aquaculture reveals a scalable pathway for food, energy and climate action Researchers in Taiwan demonstrate that installing solar panels above clam ponds can simultaneously support aquaculture and renewable energy under increasing climate stress. Using real-world farm data, the study shows that moderate shading lowers pond temperatures, reduces water demand, and generates clean electricity.…
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Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior
Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a deep learning algorithm that analyzes drone, camera, and sensor data to reveal unusual vehicle patterns that may indicate illicit activity, including the movement of nuclear materials. The work is published in the…
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Anthropic unveils new AI model as OpenAI rivalry heats up
Anthropic unveils new AI model as OpenAI rivalry heats up Anthropic on Thursday released its latest high-performing artificial intelligence model, escalating its challenge to OpenAI in the intensifying AI race. Go to techxplore
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Carney scraps Canada EV sales mandate, affirms auto sector’s future is electric
Carney scraps Canada EV sales mandate, affirms auto sector’s future is electric Prime Minister Mark Carney on Thursday canceled a mandate for all vehicles sold in Canada to be electric by 2035, while announcing major investments to support the auto industry’s EV transition. Go to techxplore
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Anthropic, OpenAI rivalry spills into new Super Bowl ads as both fight to win over AI users
Anthropic, OpenAI rivalry spills into new Super Bowl ads as both fight to win over AI users The two artificial intelligence startups behind rival chatbots ChatGPT and Claude are bracing for an existential showdown this year as both need to prove they can grow a business that will make more money than they’re losing. Go…
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Amid federal pressure, more hospitals stop gender-affirming care for minors
Amid federal pressure, more hospitals stop gender-affirming care for minors At least nine hospitals or health systems have stopped providing gender-affirming hormones and puberty blockers to young trans people since the start of the year, in the wake of federal rules proposed in December that would withhold Medicare and Medicaid funding from clinics that continue…
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Challenges for a crucial sickle cell treatment and the latest outlook for GLP-1s
Challenges for a crucial sickle cell treatment and the latest outlook for GLP-1s On this week’s episode of The Readout LOUD: two starkly different financial outlooks from Novo Nordisk and Eli Lilly, a psychedelics drug from Compass Pathways encountered a roadblock with the Trump White House, and a closer look at why manufacturing problems have slowed…
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STAT+: Novo Nordisk accuses Hims & Hers of ‘illegal mass compounding’ over a cheaper version of Wegovy pill
STAT+: Novo Nordisk accuses Hims & Hers of ‘illegal mass compounding’ over a cheaper version of Wegovy pill In an unexpected move, Hims & Hers is making available a cheaper, compounded version of the Wegovy weight loss pill sold by Novo Nordisk, prompting the drugmaker to accuse the telehealth platform of “illegal mass compounding.” In…
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STAT+: A rival goes after Ocular Therapeutix on eve of pivotal readout on eye treatment
STAT+: A rival goes after Ocular Therapeutix on eve of pivotal readout on eye treatment Ocular Therapeutix and Eyepoint Pharmaceuticals are developing competing treatments for wet age-related macular degeneration, a common cause of vision loss in older people. Their CEOs don’t particularly like each other. So, with Ocular in a self-imposed quiet period ahead of…
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What to know about TrumpRx, the Trump administration’s prescription drug platform
What to know about TrumpRx, the Trump administration’s prescription drug platform President Trump on Thursday night is planning to announce the launch of TrumpRx, the website that he and his aides have touted for months as a platform aimed at lowering prescription drug prices. The website, which uses technology from health care company GoodRx, is…
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UNICEF Calls on Governments to Criminalize AI-Generated Child Abuse Material
UNICEF Calls on Governments to Criminalize AI-Generated Child Abuse Material UNICEF has pressed governments to criminalize AI-generated child sexual abuse material, warning deepfakes are exposing children to serious harm beyond existing laws. Vismaya V Go to decrypt.co
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FCC Opens Review of Elon Musk’s SpaceX Plan for Orbital AI Data Centers
FCC Opens Review of Elon Musk’s SpaceX Plan for Orbital AI Data Centers The filing follows approval of Starlink’s Gen2 expansion and Elon Musk’s push to move AI infrastructure into orbit. Jason Nelson Go to decrypt.co
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Bitcoin Extends Selloff as Macro Pressures and Leverage Unwind
Bitcoin Extends Selloff as Macro Pressures and Leverage Unwind The latest decline reflects a broader unwind in leverage, with investors reassessing Bitcoin’s short-term role as an inflation hedge. Vince Dioquino Go to decrypt.co
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Anthropic’s AI Tools Rattle Software Stocks, Prompt Rethink of Sector Valuations
Anthropic’s AI Tools Rattle Software Stocks, Prompt Rethink of Sector Valuations A selloff in professional-services stocks followed fresh concerns that AI agents could disrupt traditional software pricing. Jose Antonio Lanz Go to decrypt.co
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Brock Pierce’s Relationship With Jeffrey Epstein Went Deeper Than Anyone Knew
Brock Pierce’s Relationship With Jeffrey Epstein Went Deeper Than Anyone Knew Convicted child sex offender Jeffrey Epstein was involved in Tether co-founder Brock Pierce’s love life, among other things. André Beganski Go to decrypt.co
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Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations
Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations arXiv:2602.03889v1 Announce Type: new Abstract: Finite mixture models are widely used for unsupervised learning, but maximum likelihood estimation via EM suffers from degeneracy as components collapse. We introduce transcendental regularization, a penalized likelihood framework with analytic barrier functions that prevent degeneracy while maintaining asymptotic efficiency. The…
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A Hitchhiker’s Guide to Poisson Gradient Estimation
A Hitchhiker’s Guide to Poisson Gradient Estimation arXiv:2602.03896v1 Announce Type: new Abstract: Poisson-distributed latent variable models are widely used in computational neuroscience, but differentiating through discrete stochastic samples remains challenging. Two approaches address this: Exponential Arrival Time (EAT) simulation and Gumbel-SoftMax (GSM) relaxation. We provide the first systematic comparison of these methods, along with practical…
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Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
Byzantine Machine Learning: MultiKrum and an optimal notion of robustness arXiv:2602.03899v1 Announce Type: new Abstract: Aggregation rules are the cornerstone of distributed (or federated) learning in the presence of adversaries, under the so-called Byzantine threat model. They are also interesting mathematical objects from the point of view of robust mean estimation. The Krum aggregation rule…
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Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks
Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks arXiv:2602.03948v1 Announce Type: new Abstract: In sensitive applications involving relational datasets, protecting information about individual links from adversarial queries is of paramount importance. In many such settings, the available data are summarized solely through the degrees of the nodes in the network.…
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Learning Multi-type heterogeneous interacting particle systems
Learning Multi-type heterogeneous interacting particle systems arXiv:2602.03954v1 Announce Type: new Abstract: We propose a framework for the joint inference of network topology, multi-type interaction kernels, and latent type assignments in heterogeneous interacting particle systems from multi-trajectory data. This learning task is a challenging non-convex mixed-integer optimization problem, which we address through a novel three-stage approach.…
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AWS vs. Azure: A Deep Dive into Model Training – Part 2
AWS vs. Azure: A Deep Dive into Model Training – Part 2 This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure’s curated environments and custom environments to SageMaker’s three level of customizations. The post AWS vs. Azure: A Deep…
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How to Work Effectively with Frontend and Backend Code
How to Work Effectively with Frontend and Backend Code Learn how to be an effective full-stack engineer with Claude Code The post How to Work Effectively with Frontend and Backend Code appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Build Your Own Custom LLM Memory Layer from Scratch
How to Build Your Own Custom LLM Memory Layer from Scratch Step-by-step guide to building autonomous memory retrieval systems The post How to Build Your Own Custom LLM Memory Layer from Scratch appeared first on Towards Data Science. Avishek Biswas Go to original source
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Plan–Code–Execute: Designing Agents That Create Their Own Tools
Plan–Code–Execute: Designing Agents That Create Their Own Tools The case against pre-built tools in Agentic Architectures The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Data Science. Partha Sarkar Go to original source
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Pentaho update aids data integration, semantic modeling
Pentaho update aids data integration, semantic modeling The vendor’s latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted foundation for AI development. Go to techtarget
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NV5 GeoAgent Offers Autonomous Geospatial Intelligence
NV5 GeoAgent Offers Autonomous Geospatial Intelligence NV5, a leading provider of geospatial software and services, is releasing GeoAgent, an agentic AI platform that automatically discovers and analyzes data and produces geospatial intelligence using natural language interaction. Go to dbta
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Pentaho Enhances Flagship Data Integration Suite, Introducing Version 11
Pentaho Enhances Flagship Data Integration Suite, Introducing Version 11 Pentaho, an industry leading data intelligence and integration platform, is releasing Pentaho Data Integration?and?Business Analytics?Version 11 (V11), a platform evolution that makes it easier for enterprises to get more use and value from their data. Go to dbta
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Oracle Life Sciences AI Data Platform Unites Data and Agentic Intelligence to Accelerate Medical Breakthroughs
Oracle Life Sciences AI Data Platform Unites Data and Agentic Intelligence to Accelerate Medical Breakthroughs Oracle announced the Oracle Life Sciences AI Data Platform, a generative AI-enabled solution designed to empower pharmaceutical, medical device, research, and life sciences organizations to accelerate outcomes across R&D, clinical trials, post-market safety, and commercialization. Go to dbta
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Oracle Releases New Agentic Platform for the Banking and Finance Space
Oracle Releases New Agentic Platform for the Banking and Finance Space Oracle Financial Services is transforming banking with an enterprise-class suite of AI-infused applications, design tools, frameworks and pre-built AI agents. According to Oracle, with these advancements, banks can benefit from intelligent, conversational interfaces, and autonomous AI agents. Go to dbta
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Proactive Monitoring for Blocking Sessions in Oracle Autonomous Database
Proactive Monitoring for Blocking Sessions in Oracle Autonomous Database Blocking sessions can significantly impact performance and user experience in Oracle Autonomous Database if they go undetected. Left unresolved, they can cause application slowdowns, timeouts, or even outages. Go to dbta
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New design tool 3D-prints woven metamaterials that stretch and fail predictably
New design tool 3D-prints woven metamaterials that stretch and fail predictably Metamaterials—materials whose properties are primarily dictated by their internal microstructure, and not their chemical makeup—have been redefining the engineering materials space for the last decade. To date, however, most metamaterials have been lightweight options designed for stiffness and strength. Go to techxplore
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Musk vows to put data centers in space and run them on solar power but experts have their doubts
Musk vows to put data centers in space and run them on solar power but experts have their doubts Elon Musk vowed this week to upend another industry just as he did with cars and rockets—and once again he’s taking on long odds. Go to techxplore
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‘Discovery learning’ AI tool predicts battery cycle life with just a few days’ data
‘Discovery learning’ AI tool predicts battery cycle life with just a few days’ data An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the…
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Fungi turn shredded mattress foam into lightweight building insulation
Fungi turn shredded mattress foam into lightweight building insulation Swinburne researchers have turned old, unwanted mattresses into safe and sustainable building insulation materials using fungi. The team grew a common fungus together with shredded mattress foam to create a new material that is solid and lightweight. Their research is published in the journal Scientific Reports.…
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Extending optical fiber’s ultralow loss performance to photonic chips
Extending optical fiber’s ultralow loss performance to photonic chips Caltech scientists have developed a way to guide light on silicon wafers with low signal loss approaching that of optical fiber at visible wavelengths. This accomplishment paves the way for a new generation of ultra-coherent and efficient photonic integrated circuits (PICs), which will have a profound…
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New PBM law could open door to direct sales between employers, drugmakers
New PBM law could open door to direct sales between employers, drugmakers WASHINGTON — The pharmacy benefit manager reforms that President Trump signed into law on Tuesday could lead to employers buying drugs directly from drugmakers, just like the administration is encouraging individual consumers to do through its pending website TrumpRx. The PBM reforms are…
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Study ties particle pollution from wildfire smoke to 24,100 U.S. deaths per year
Study ties particle pollution from wildfire smoke to 24,100 U.S. deaths per year Chronic exposure to pollution from wildfires has been linked to tens of thousands of deaths annually in the United States, according to a new study. The paper, published Wednesday in the journal Science Advances, found that from 2006 to 2020, long-term exposure to tiny…
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STAT+: Epic launches AI Charting, potentially scrambling the ambient scribe market
STAT+: Epic launches AI Charting, potentially scrambling the ambient scribe market The nation’s largest electronic health record company, Epic Systems, announced on Wednesday more details around its long-anticipated AI Charting feature, which could disrupt the market for ambient scribes. Several health systems are piloting the tools now, the company said. “I almost bristle a little…
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STAT+: FTC settles lawsuit with Express Scripts over charges it manipulated insulin prices, impeded access
STAT+: FTC settles lawsuit with Express Scripts over charges it manipulated insulin prices, impeded access The Federal Trade Commission said Wednesday that it had settled a lawsuit against Express Scripts, one of the largest pharmacy benefit managers in the U.S., over allegations that the company artificially inflated the price of insulin and impeded access to…
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STAT+: The FDA questions underlying Utah’s AI prescription pilot
STAT+: The FDA questions underlying Utah’s AI prescription pilot One of my favorite science communicators, Alex Dainis, is in the middle of a short-form video series where she’s tasting every amino acid. Each video is great, but her reaction to tasting cysteine is memorable. I am obsessed; you should give a couple of the videos…
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Operator of Crypto-Fueled Dark Web Drug Market Sentenced to 30 Years
Operator of Crypto-Fueled Dark Web Drug Market Sentenced to 30 Years The Incognito Market operator extorted vendors by threatening to publish their transaction histories and crypto addresses. Vismaya V Go to decrypt.co
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Nevada Moves to Bar Coinbase’s Prediction Markets Without State Gaming License
Nevada Moves to Bar Coinbase’s Prediction Markets Without State Gaming License Nevada’s enforcement action comes after Coinbase filed federal lawsuits challenging three other states over prediction market jurisdiction. Vismaya V Go to decrypt.co
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Bitcoin Risks Further Slide as Momentum Weakens Below Key Support
Bitcoin Risks Further Slide as Momentum Weakens Below Key Support Fragile momentum and macro uncertainty are keeping Bitcoin and the broader crypto market at risk of further declines, analysts say. Vince Dioquino Go to decrypt.co
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Alleged Bitcoin Ransom Note Sent to TMZ in Case Involving ‘Today’ Show Host’s Missing Mother
Alleged Bitcoin Ransom Note Sent to TMZ in Case Involving ‘Today’ Show Host’s Missing Mother Authorities say they are reviewing reports of a Bitcoin ransom note tied to the case of Today show host Savannah Guthrie’s missing mother. Jason Nelson Go to decrypt.co
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‘We Need a New Path’: Ethereum Founder Vitalik Buterin Rips Up L2-Focused Roadmap
‘We Need a New Path’: Ethereum Founder Vitalik Buterin Rips Up L2-Focused Roadmap Some layer-2 networks have made concessions when it comes to decentralization, Buterin said, and shouldn’t be “branded” as extensions of Ethereum. Sander Lutz Go to decrypt.co
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Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions arXiv:2602.02577v1 Announce Type: new Abstract: The Kullback-Leibler (KL) divergence is not a proper distance metric and does not satisfy the triangle inequality, posing theoretical challenges in certain practical applications. Existing work has demonstrated that KL divergence between multivariate Gaussian distributions follows a relaxed triangle inequality.…
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Rethinking Test-Time Training: Tilting The Latent Distribution For Few-Shot Source-Free Adaptation
Rethinking Test-Time Training: Tilting The Latent Distribution For Few-Shot Source-Free Adaptation arXiv:2602.02633v1 Announce Type: new Abstract: Often, constraints arise in deployment settings where even lightweight parameter updates e.g. parameter-efficient fine-tuning could induce model shift or tuning instability. We study test-time adaptation of foundation models for few-shot classification under a completely frozen-model regime, where additionally, no…
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Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization arXiv:2602.02759v1 Announce Type: new Abstract: Despite the ubiquity of multiway data across scientific domains, there are few user-friendly tools that fit tailored nonnegative tensor factorizations. Researchers may use gradient-based automatic differentiation (which often struggles in nonnegative settings), choose between a limited set of methods with mature implementations, or…
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Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks
Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks arXiv:2602.02791v1 Announce Type: new Abstract: We study a supervised multiclass classification problem for diffusion processes, where each class is characterized by a distinct drift function and trajectories are observed at discrete times. Extending the one-dimensional multiclass framework of Denis et al. (2024) to multidimensional…
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Training-Free Self-Correction for Multimodal Masked Diffusion Models
Training-Free Self-Correction for Multimodal Masked Diffusion Models arXiv:2602.02927v1 Announce Type: new Abstract: Masked diffusion models have emerged as a powerful framework for text and multimodal generation. However, their sampling procedure updates multiple tokens simultaneously and treats generated tokens as immutable, which may lead to error accumulation when early mistakes cannot be revised. In this work,…
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Routing in a Sparse Graph: a Distributed Q-Learning Approach
Routing in a Sparse Graph: a Distributed Q-Learning Approach Distributed agents need only decide one move ahead. The post Routing in a Sparse Graph: a Distributed Q-Learning Approach appeared first on Towards Data Science. Sébastien Gilbert Go to original source
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YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger
YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more The post YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger appeared first on Towards Data Science. Muhammad Ardi Go to original source
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Creating a Data Pipeline to Monitor Local Crime Trends
Creating a Data Pipeline to Monitor Local Crime Trends A walkthough of creating an ETL pipeline to extract local crime data and visualize it in Metabase. The post Creating a Data Pipeline to Monitor Local Crime Trends appeared first on Towards Data Science. Jimin Kang Go to original source
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The Proximity of the Inception Score as an Evaluation Criterion
The Proximity of the Inception Score as an Evaluation Criterion The neighborhood of synthetic data The post The Proximity of the Inception Score as an Evaluation Criterion appeared first on Towards Data Science. Giuseppe Pio Cannata Go to original source
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Snowflake launches new AI tools, unveils OpenAI partnership
Snowflake launches new AI tools, unveils OpenAI partnership New features such as an agent-powered code generator and automated semantic modeling simplify developing cutting-edge applications and improve the vendor’s competitive standing. Go to techtarget
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CIQ Creates Startup Program to Offer High-Performance AI Infrastructure for Early-Stage Innovators
CIQ Creates Startup Program to Offer High-Performance AI Infrastructure for Early-Stage Innovators CIQ, the founding support partner of Rocky Linux and provider of high-performance software infrastructure, is debuting the CIQ Startup Program?enabling eligible startups to get six months free, then up to 80% off CIQ’s AI infrastructure stack for up to two years. Go to…
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Databricks Lakebase is Now Generally Available, Delivering Reliability, Performance, and Governance
Databricks Lakebase is Now Generally Available, Delivering Reliability, Performance, and Governance Databricks announced the?Databricks Lakebase is now?generally available on AWS?introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. Go to dbta
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Neptunium study yields plutonium insights for space exploration
Neptunium study yields plutonium insights for space exploration Researchers at the Department of Energy’s Oak Ridge National Laboratory are breathing new life into the scientific understanding of neptunium, a unique, radioactive, metallic element—and a key precursor for production of the plutonium-238, or Pu-238, that fuels exploratory spacecraft. Go to techxplore
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Lessons from the sea: Nature shows us how to get ‘forever chemicals’ out of batteries
Lessons from the sea: Nature shows us how to get ‘forever chemicals’ out of batteries As the world races to electrify everything from cars to cities, the demand for high-performance, long-lasting batteries is soaring. But the uncomfortable truth is this: many of the batteries powering our “green” technologies aren’t as green as we might think.…
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A programmable, Lego-like material for robots emulates life’s flexibility
A programmable, Lego-like material for robots emulates life’s flexibility Mechanical engineers at Duke University have demonstrated a proof-of-concept method for programming mechanical properties into solid Lego-like building blocks. By controlling the solidity of hundreds of individual cells in specific patterns, the approach could allow futuristic robotics to alter their mechanical properties and functionalities on the…
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Metamaterial insights point to better implants, robot hands and bumpers
Metamaterial insights point to better implants, robot hands and bumpers Metamaterials are composites with a very precisely controlled structure. It is this structure that determines the properties of the metamaterial, not the substances it is made of. Typically, a metamaterial consists of repeating identical blocks called unit cells. New research by Ph.D. student Shyam Veluvali,…
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Unhackable metasurface holograms: Security technology can lock information with light color and distance
Unhackable metasurface holograms: Security technology can lock information with light color and distance A research team led by Professor Junsuk Rho at POSTECH (Pohang University of Science and Technology) has developed a secure hologram platform that operates solely based on the wavelength of light and the spacing between metasurface layers. The technology makes hacking and…
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Dynatrace expands integrations with top cloud platforms
Dynatrace expands integrations with top cloud platforms AI-powered observability platform provider Dynatrace has announced expanded cloud-native integrations across AWS, Microsoft Azure and Google Cloud Platform. The expanded integrations will bring added visibility across the major cloud environments into a single unified view, with the aim of helping teams find and fix issues faster while reducing…
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STAT+: FDA Commissioner Marty Makary tries to soothe staff concerns over voucher program
STAT+: FDA Commissioner Marty Makary tries to soothe staff concerns over voucher program WASHINGTON — At an employee town hall on Tuesday, Food and Drug Administration leaders tried to quell staff and external concerns about a controversial new program to fast-track certain drugs. “This pilot is an effort to make our review processes patient-centric,” said…
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Plastic surgeons society recommends delaying gender-affirming procedures until age 19
Plastic surgeons society recommends delaying gender-affirming procedures until age 19 WASHINGTON — The American Society of Plastic Surgeons (ASPS) recommends that gender-affirming surgeries be delayed until a patient is at least 19 years old, the group announced in a statement Tuesday. The statement, made by the group’s board of directors, represents a break from major…
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STAT+: Novo Nordisk sees lower sales, profits as Wegovy faces growing competition
STAT+: Novo Nordisk sees lower sales, profits as Wegovy faces growing competition Novo Nordisk on Tuesday said it expects sales and profits to decline this year, as the maker of Wegovy faces growing competition in the obesity market. The Danish pharma giant said it expects sales to decrease in the range of 5% to 13%…
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STAT+: Pfizer unveils data on Metsera drug
STAT+: Pfizer unveils data on Metsera drug Want to stay on top of the science and politics driving biotech today? Sign up to get our biotech newsletter in your inbox. Good morning. Did Pfizer overpay for the obesity biotech Metsera? It’s probably still too early to tell, but we have some new data this morning. The need-to-know this…
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Arizona Attorney General Issues Warning as Crypto ATM Scams Hit Older Adults
Arizona Attorney General Issues Warning as Crypto ATM Scams Hit Older Adults Arizona has launched a fraud reporting tool as crypto ATM scams surge and losses mount, especially among older consumers. Vismaya V Go to decrypt.co
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Bitcoin’s Sell-Off May Carry a Silver Lining
Bitcoin’s Sell-Off May Carry a Silver Lining Bitcoin’s latest sell-off has revived debate over whether the move reflects short-term liquidity stress or something deeper. Vince Dioquino Go to decrypt.co
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Musk Folds xAI Into SpaceX, Cites Limits on Earth-Based AI Infrastructure
Musk Folds xAI Into SpaceX, Cites Limits on Earth-Based AI Infrastructure Elon Musk says power and cooling constraints on Earth are pushing AI compute into orbit, with Starship central to the plan. Jason Nelson Go to decrypt.co
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OpenClaw Opens the Gates for AI Agents—Here’s What’s Real and What’s Not
OpenClaw Opens the Gates for AI Agents—Here’s What’s Real and What’s Not OpenClaw hit 147,000 GitHub stars in a matter of weeks and spawned an entire ecosystem of AI agents. But just how much is revolutionary tech? Jose Antonio Lanz Go to decrypt.co
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Will GameStop Dump Its Bitcoin? CEO Says ‘Way More Compelling’ Move Ahead
Will GameStop Dump Its Bitcoin? CEO Says ‘Way More Compelling’ Move Ahead GameStop moved its entire Bitcoin stash to an institutional exchange as CEO Ryan Cohen signals M&A now outranks crypto. Jason Nelson Go to decrypt.co
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Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals
Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals arXiv:2602.00171v1 Announce Type: new Abstract: Multimodal learning combines information from multiple data modalities to improve predictive performance. However, modalities often contribute unequally and in a data dependent way, making it unclear which data modalities are genuinely informative and to what extent their contributions can be trusted. Quantifying modality…
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Neuron Block Dynamics for XOR Classification with Zero-Margin
Neuron Block Dynamics for XOR Classification with Zero-Margin arXiv:2602.00172v1 Announce Type: new Abstract: The ability of neural networks to learn useful features through stochastic gradient descent (SGD) is a cornerstone of their success. Most theoretical analyses focus on regression or on classification tasks with a positive margin, where worst-case gradient bounds suffice. In contrast, we…
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Singular Bayesian Neural Networks
Singular Bayesian Neural Networks arXiv:2602.00387v1 Announce Type: new Abstract: Bayesian neural networks promise calibrated uncertainty but require $O(mn)$ parameters for standard mean-field Gaussian posteriors. We argue this cost is often unnecessary, particularly when weight matrices exhibit fast singular value decay. By parameterizing weights as $W = AB^{top}$ with $A in mathbb{R}^{m times r}$, $B in…
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Reinforcement Learning for Control Systems with Time Delays: A Comprehensive Survey
Reinforcement Learning for Control Systems with Time Delays: A Comprehensive Survey arXiv:2602.00399v1 Announce Type: new Abstract: In the last decade, Reinforcement Learning (RL) has achieved remarkable success in the control and decision-making of complex dynamical systems. However, most RL algorithms rely on the Markov Decision Process assumption, which is violated in practical cyber-physical systems affected…
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Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation
Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation arXiv:2602.00413v1 Announce Type: new Abstract: Diffusion models and flow matching have demonstrated remarkable success in text-to-image generation. While many existing alignment methods primarily focus on fine-tuning pre-trained generative models to maximize a given reward function, these approaches require extensive computational resources and may not generalize…
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Silicon Darwinism: Why Scarcity Is the Source of True Intelligence
Silicon Darwinism: Why Scarcity Is the Source of True Intelligence We are confusing “size” with “smart.” The next leap in artificial intelligence will not come from a larger data center, but from a more constrained environment. The post Silicon Darwinism: Why Scarcity Is the Source of True Intelligence appeared first on Towards Data Science. Aakash…
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Digi International Acquires Particle to Reinforce Digi?s Embedded-as-a-Service Offering
Digi International Acquires Particle to Reinforce Digi?s Embedded-as-a-Service Offering Digi International Inc. (Digi), a leading global provider of business and mission-critical Internet of Things (IoT) products, services, and solutions, is acquiring Particle Industries, Inc. (Particle), a leading provider of edge-to-cloud application infrastructure for intelligent devices. Go to dbta
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Palo Alto Networks Completes Acquisition of Chronosphere
Palo Alto Networks Completes Acquisition of Chronosphere Palo Alto Networks, a global cybersecurity leader, announced it has completed its acquisition of Chronosphere with the goal of addressing a core challenge of the AI era: the inability to see and secure the massive data volumes running modern businesses. Go to dbta
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Rocket Software Announces Intent to Acquire Vertica Analytics Database Solution from OpenText?
Rocket Software Announces Intent to Acquire Vertica Analytics Database Solution from OpenText? Rocket Software, a global technology leader in modernization software, announced it is entering into a definitive agreement to?acquire?the Vertica analytics database from OpenText. Go to dbta
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Multi-layer flax fiber fabric developed for alternative seating furniture with flexible geometries
Multi-layer flax fiber fabric developed for alternative seating furniture with flexible geometries Seating furniture is frequently not designed for long-term use or simple assembly and disassembly and has a tendency to break after just one move. This does not apply to the benches, chairs, and stools that were created as part of the LinumTube cooperation…
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New steel processing technique extends EV range without increasing battery capacity
New steel processing technique extends EV range without increasing battery capacity A research team affiliated with UNIST unveiled a new steel manufacturing process that can improve the driving distance of electric vehicles (EVs) without the need for larger batteries. This technology offers a promising way to enhance the efficiency of EV motors, supporting longer trips…
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New AI system fixes 3D printing defects in real time
New AI system fixes 3D printing defects in real time Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste. However, with the majority of 3D printers operating on open-loop systems, they are notoriously prone to failure. Minor changes, like adjustments to nozzle size or print speed, can lead to print errors…
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Building energy resilience by understanding nuances of power outages across the US
Building energy resilience by understanding nuances of power outages across the US More frequent and intense weather phenomena like heat waves, windstorms, or atmospheric rivers often come in pairs and these challenging combinations stress the power grid and lead to outages. A multi-year analysis is the first of its kind to analyze combined weather events…