不知道 不明了 不想要
-
A Generalizable MARL-LP Approach for Scheduling in Logistics
A Generalizable MARL-LP Approach for Scheduling in Logistics Part 1. Hybrid Solution for Dynamic Vehicle Routing — Context and Architecture The post A Generalizable MARL-LP Approach for Scheduling in Logistics appeared first on Towards Data Science. Alexander Levin Go to original source
-
Detecting and Editing Visual Objects with Gemini
Detecting and Editing Visual Objects with Gemini A practical guide to identifying, restoring, and transforming elements within your images The post Detecting and Editing Visual Objects with Gemini appeared first on Towards Data Science. Laurent Picard Go to original source
-
Take a Deep Dive into Filtering in DAX
Take a Deep Dive into Filtering in DAX Have you ever wondered what happens when you apply a filter in a DAX expression? Well, Today I will take you on a deep dive into this fascinating topic, with examples to help you learn something new and surprising. The post Take a Deep Dive into Filtering…
-
Confluent adds A2A support to fuel multi-agent AI networks
Confluent adds A2A support to fuel multi-agent AI networks Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor distinguish itself from its closest competitors. Go to techtarget
-
Yellowfin boosts analytics suite with new NLQ capabilities
Yellowfin boosts analytics suite with new NLQ capabilities The vendor’s latest update adds features that bring it more in line with competitors that have been faster to move beyond traditional BI to power their platforms with AI. Go to techtarget
-
Pure Storage Rebrands as Everpure, Signaling its Continued Misson of Redefining the Future of Data Management
Pure Storage Rebrands as Everpure, Signaling its Continued Misson of Redefining the Future of Data Management Pure Storage, the company revolutionizing storage and data management, is announcing its new name: Everpure?reflecting the company’s mission from reshaping storage to defining the future of data management. The company also announced it has entered into a definitive agreement…
-
Bindplane Launches Integrations for VictoriaMetrics to Make it Even Easier to Collect, Process, and Route Opentelemetry
Bindplane Launches Integrations for VictoriaMetrics to Make it Even Easier to Collect, Process, and Route Opentelemetry Bindplane is introducing destinations for the VictoriaMetrics ecosystem, making it easier to collect, process, and route OpenTelemetry metrics, traces, and logs at scale. Users can directly connect VictoriaMetrics’ high-performance storage engines to Bindplane’s vendor-neutral, OpenTelemetry-native telemetry pipeline, Bindplane said.…
-
Where are Southeast Asia’s data centers?
Where are Southeast Asia’s data centers? New data centers are springing up worldwide as demand soars for artificial intelligence and cloud computing, with Asia one of the sector’s fastest growing regions. Go to techxplore
-
‘Solar battery’ stores sunlight for days, then releases hydrogen on demand
‘Solar battery’ stores sunlight for days, then releases hydrogen on demand A new material can store energy from sunlight and convert it into hydrogen days later. The material, jointly developed by researchers from Ulm and Jena, can do this even in the dark. The process is reversible and can be reactivated several times using a…
-
Protecting perovskite solar cells against environmental influences with light-switchable molecules
Protecting perovskite solar cells against environmental influences with light-switchable molecules A team from the University of Stuttgart, together with international researchers, has succeeded in enhancing both the efficiency and environmental resilience of perovskite solar cells. This is another important step toward the application of a technology that holds great promise for photovoltaics. The research is…
-
Snake-like robot unveiled for Fukushima debris removal
Snake-like robot unveiled for Fukushima debris removal A 22-meter robot arm will help remove a third sample of radioactive debris from inside Japan’s stricken Fukushima nuclear plant, its operator said Thursday, as it unveiled the snake-like device. Go to techxplore
-
How natural hydrogen, hiding deep in the Earth, could serve as a new energy source
How natural hydrogen, hiding deep in the Earth, could serve as a new energy source In the search for more, new and cleaner sources of energy, a largely untapped resource is emerging: natural hydrogen. Go to techxplore
-
Critical alert: exploitation of Cisco SD-WAN appliances
Critical alert: exploitation of Cisco SD-WAN appliances The Australian Cyber Security Centre (ACSC) last night (26 February) released a critical alert that malicious cyberthreat actors are targeting SD-WANs of organisations globally thorough an exploitation of Cisco Software-Defined Wide Area Network (SD-WAN) technology, including via CVE-2026-20127. Those organisations using Cisco Catalyst SD-WAN technology are urged to…
-
Private AI: from sovereignty obligation to business advantage
Private AI: from sovereignty obligation to business advantage Across Australia and New Zealand, data sovereignty is shifting from a technical consideration to a strategic business priority. As organisations accelerate AI adoption, regulators, customers and boards are deep-diving into issues such as where sensitive data lives, who controls it, and how AI can be deployed at…
-
Tenable warns of supply chain attack on npm Registry
Tenable warns of supply chain attack on npm Registry Tenable Research has uncovered a supply chain attack on the npm Registry which the company said demonstrates the speed at which modern supply chain risks can propagate. The npm Registry is a public collection of packages of open-source code for Node.js, including front-end web apps, mobile…
-
STAT+: Justice Department backs AbbVie in its bid to overturn a Colorado law guiding a drug discount program
STAT+: Justice Department backs AbbVie in its bid to overturn a Colorado law guiding a drug discount program The Department of Justice is backing AbbVie in its battle to overturn a Colorado law that prohibits pharmaceutical companies from placing restrictions on a controversial federal drug discount program. Created more than 30 years ago, the 340B…
-
STAT+: Cigna, extending reach into prescription drugs, acquires major pharmacy used by hospitals
STAT+: Cigna, extending reach into prescription drugs, acquires major pharmacy used by hospitals Cigna has acquired CarepathRx, a large pharmacy backed by private equity that dispenses prescription drugs to nearly 10% of U.S. hospitals. The acquisition, discovered by STAT in a review of Cigna’s financial filings, reinforces the company’s push to control more of the…
-
Listen: FDA turmoil, election intrigue, AI, and more
Listen: FDA turmoil, election intrigue, AI, and more On “The Readout LOUD” this week: Adam Feuerstein, solo. His usual co-hosts Allison DeAngelis and Elaine Chen took some time off, so Adam manned the podcast mic himself. Adam thought, quite understandably, that our cherished listeners wouldn’t want to hear him drone on for 30 minutes, so…
-
CMS announces pause on new durable medical equipment suppliers
CMS announces pause on new durable medical equipment suppliers The Trump administration announced Wednesday a nationwide moratorium on new suppliers for certain medical equipment, citing a need to get a handle on the “fraud, waste, and abuse” in the industry that provides wheelchairs, artificial limbs and other equipment. “The amount of fraud is so massive…
-
Everything you need to know about RFK Jr., MAHA, and ‘glypho-gate’
Everything you need to know about RFK Jr., MAHA, and ‘glypho-gate’ A recent executive order has put health secretary Robert F. Kennedy Jr. in a tight spot. The order aims to shore up production of the herbicide glyphosate (better known as the active ingredient in the weed killer Roundup) for “national security and defense reasons.”…
-
OCC Lays Out Framework for Regulated Stablecoins Under GENIUS Act
OCC Lays Out Framework for Regulated Stablecoins Under GENIUS Act The proposal details how banks, nonbanks and foreign issuers could operate stablecoins under U.S. banking supervision. Vismaya V Go to decrypt.co
-
ETHZilla Drops Ethereum Treasury Label in Rebrand After Share Price Collapse
ETHZilla Drops Ethereum Treasury Label in Rebrand After Share Price Collapse The move follows investor exits, asset sales and a retreat from holding Ethereum on the public company’s balance sheet. Vince Dioquino Go to decrypt.co
-
Jane Street Speculation Renews Scrutiny of Bitcoin ETF Market Mechanics
Jane Street Speculation Renews Scrutiny of Bitcoin ETF Market Mechanics Online claims have drawn attention to how institutional middlemen hedge Bitcoin ETF shares, exposing a gap between inflows and spot buying. Sebastian Sinclair Go to decrypt.co
-
Anthropic, OpenAI Dial Back Safety Language as AI Race Accelerates
Anthropic, OpenAI Dial Back Safety Language as AI Race Accelerates Reports show both Anthropic and OpenAI are revising safety commitments amid surging investment and competition. Jason Nelson Go to decrypt.co
-
Nvidia Earnings Results Steady Markets as AI Spending Debate Intensifies
Nvidia Earnings Results Steady Markets as AI Spending Debate Intensifies Nvidia’s earnings lifted technology shares and steadied broader markets, even as investors weigh how long the AI investment cycle can run. Sebastian Sinclair Go to decrypt.co
-
Counterdiabatic Hamiltonian Monte Carlo
Counterdiabatic Hamiltonian Monte Carlo arXiv:2602.21272v1 Announce Type: new Abstract: Hamiltonian Monte Carlo (HMC) is a state of the art method for sampling from distributions with differentiable densities, but can converge slowly when applied to challenging multimodal problems. Running HMC with a time varying Hamiltonian, in order to interpolate from an initial tractable distribution to the…
-
Conditional neural control variates for variance reduction in Bayesian inverse problems
Conditional neural control variates for variance reduction in Bayesian inverse problems arXiv:2602.21357v1 Announce Type: new Abstract: Bayesian inference for inverse problems involves computing expectations under posterior distributions — e.g., posterior means, variances, or predictive quantities — typically via Monte Carlo (MC) estimation. When the quantity of interest varies significantly under the posterior, accurate estimates demand…
-
Efficient Uncoupled Learning Dynamics with $tilde{O}!left(T^{-1/4}right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
Efficient Uncoupled Learning Dynamics with $tilde{O}!left(T^{-1/4}right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback arXiv:2602.21436v1 Announce Type: new Abstract: In this paper, we study last-iterate convergence of learning algorithms in bilinear saddle-point problems, a preferable notion of convergence that captures the day-to-day behavior of learning dynamics. We focus on the challenging…
-
ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding
ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding arXiv:2602.21446v1 Announce Type: new Abstract: Hyperdimensional Computing (HDC) offers a computationally efficient paradigm for neuromorphic learning. Yet, it lacks rigorous uncertainty quantification, leading to open decision boundaries and, consequently, vulnerability to outliers, adversarial perturbations, and out-of-distribution inputs. To address these limitations, we introduce ConformalHDC, a unified…
-
Efficient Inference after Directionally Stable Adaptive Experiments
Efficient Inference after Directionally Stable Adaptive Experiments arXiv:2602.21478v1 Announce Type: new Abstract: We study inference on scalar-valued pathwise differentiable targets after adaptive data collection, such as a bandit algorithm. We introduce a novel target-specific condition, directional stability, which is strictly weaker than previously imposed target-agnostic stability conditions. Under directional stability, we show that estimators that…
-
Scaling Feature Engineering Pipelines with Feast and Ray
Scaling Feature Engineering Pipelines with Feast and Ray Utilizing feature stores like Feast and distributed compute frameworks like Ray in production machine learning systems The post Scaling Feature Engineering Pipelines with Feast and Ray appeared first on Towards Data Science. Kenneth Leung Go to original source
-
Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance
Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance Engineering RDMA-like performance over cloud host NICs using libfabric, DMA-BUF, and HCCL to restore distributed training scalability The post Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance appeared first on Towards Data Science. Maria Piterberg Go to original source
-
Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms
Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms Understanding the foundational distortion of digital audio from first principles, with worked examples and visual intuition The post Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms appeared first on Towards Data Science. Aman Agrawal Go to original source
-
How to Define the Modeling Scope of an Internal Credit Risk Model
How to Define the Modeling Scope of an Internal Credit Risk Model Dataset construction for Internal Ratings-Based (IRB) Probability of Default (PD) models The post How to Define the Modeling Scope of an Internal Credit Risk Model appeared first on Towards Data Science. JUNIOR JUMBONG Go to original source
-
Operational resilience is a benchmark for executive success
Operational resilience is a benchmark for executive success Operational resilience is emerging as an executive benchmark as regulations, board scrutiny and compliance mandates drive the need for measurable KPIs and accountability. Go to techtarget
-
Build a business intelligence team to optimize data use
Build a business intelligence team to optimize data use Leaders who want to protect data investments must build a strategic business intelligence team with five core roles: the expert, architect, designer, analyst and data steward. Go to techtarget
-
ControlMonkey Boosts Cloud Configuration Disaster Recovery to the Network Layer
ControlMonkey Boosts Cloud Configuration Disaster Recovery to the Network Layer ControlMonkey is extending its Cloud Configuration Disaster Recovery solution to leading network vendors, including Cloudflare, Fastly, Akamai, and F5 to bring visibility and automated recovery to routing, DNS, and edge configurations. Go to dbta
-
CloudCasa Supports Modern Red Hat OpenShift Deployments with New Data Protection Capabilities
CloudCasa Supports Modern Red Hat OpenShift Deployments with New Data Protection Capabilities CloudCasa, a leader in cloud-native data protection, is introducing new enhancements to its backup and recovery platform designed to support Red Hat OpenShift environments across core, edge, and hybrid cloud deployments. Go to dbta
-
SAP Renames Emarsys to SAP Engagement Cloud
SAP Renames Emarsys to SAP Engagement Cloud SAP announced that the SAP Emarsys solution is being renamed to SAP Engagement Cloud?reflecting SAP’s strategy to make engagement a core enterprise capability across the SAP portfolio. SAP Engagement Cloud now brings SAP’s trusted enterprise backbone to the customer experience, enabling organizations to connect customer insight and operational…
-
SAP Opens Defense Innovation Hub to Strengthen Digital Resilience in Security and Defense
SAP Opens Defense Innovation Hub to Strengthen Digital Resilience in Security and Defense SAP opened its defense innovation hub in Munich, Germany, underscoring its long-term commitment to strengthening digital readiness as a core element of modern defense capability. The hub is launched as armed forces and security institutions face increasing pressure to manage complex missions…
-
Vasion Achieves SAP Certified Integration with GROW for SAP and with RISE with S/4HANA Cloud
Vasion Achieves SAP Certified Integration with GROW for SAP and with RISE with S/4HANA Cloud Vasion, a leader in serverless printing and Intelligent Print Automation, announced that Vasion Output has achieved SAP certification as integrated with GROW with SAP and integrated with RISE with SAP S/4HANA Cloud. Go to dbta
-
AirDrop is coming to Android phones
AirDrop is coming to Android phones The cell phone world is divided into two camps—iPhone users and Android users. Apple curates new features for iOS and Google develops for Android, and they likely don’t spend a ton of time worrying about how their phones interact with phones from the other company. Go to techxplore
-
AI’s growing appetite for power is putting Pennsylvania’s aging electricity grid to the test
AI’s growing appetite for power is putting Pennsylvania’s aging electricity grid to the test The rapid growth of data centers that support artificial intelligence is reshaping how electricity systems operate across the United States. Go to techxplore
-
The unintended consequences of decarbonizing steelworks
The unintended consequences of decarbonizing steelworks For more than a century, Port Talbot in Wales has been dominated by its steelworks. The daily lives of residents have been shaped by this industry. Shifts have set the traffic, sirens marked time, at night the furnaces lit the sky orange. Steel wasn’t just an industry. It was…
-
AI analysis finds sunnier sites and compact layouts cut solar’s land footprint
AI analysis finds sunnier sites and compact layouts cut solar’s land footprint As solar energy is rapidly becoming the world’s largest renewable power source, new research from McGill University offers a clearer picture of how much land that growth could require and how smarter choices could mitigate solar energy’s land footprint. “Solar photovoltaics are poised…
-
Your car’s tire sensors could be used to track you
Your car’s tire sensors could be used to track you Researchers at IMDEA Networks Institute, together with European partners, have found that tire pressure sensors in modern cars can unintentionally expose drivers to tracking. Over a ten-week study, they collected signals from more than 20,000 vehicles, revealing a hidden privacy risk and highlighting the need…
-
Surgeon general nominee and senator face off over vaccines and ‘shared decision-making’
Surgeon general nominee and senator face off over vaccines and ‘shared decision-making’ An eight-minute exchange at the end of Casey Means’ two-hour confirmation hearing captured the potential and the predicament the MAHA movement has created for itself. Means, an entrepreneurial wellness influencer with a medical degree from Stanford, appeared on Wednesday at the Senate health…
-
STAT+: A rare disease drug was approvable, then it wasn’t. Inside a surprise rejection by the FDA
STAT+: A rare disease drug was approvable, then it wasn’t. Inside a surprise rejection by the FDA An experimental therapy for a rare blood cancer was on the path toward approval by the Food and Drug Administration last year — with internal reviewers recommending it be cleared — before the agency rejected the drug last…
-
STAT+: HHS adviser hopes prior authorization reform happens in ‘double-digit months,’ not years
STAT+: HHS adviser hopes prior authorization reform happens in ‘double-digit months,’ not years WASHINGTON — A top U.S. health official told a room full of doctors on Wednesday that he hopes the Trump administration’s efforts to whittle down the insurance industry’s use of prior authorizations will produce results “in double-digit months” instead of years, calling…
-
Casey Means, a MAHA leader, makes bid to be nation’s top doctor
Casey Means, a MAHA leader, makes bid to be nation’s top doctor The Make America Healthy Again movement, which has turned dissatisfaction with mainstream medicine into a disruptive political movement, was poised on Wednesday to put one of its leading figures, Casey Means, at the top of the U.S. medical system. Means, an entrepreneurial wellness…
-
STAT+: Novo doubles down on oral peptides
STAT+: Novo doubles down on oral peptides 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. By the time this newsletter sends, I’ll be on a plane headed towards vacation. See you next week! The need-to-know this morning Alkermes CEO Richard…
-
Coinbase CEO Pushes Back on UK Stablecoin Caps as Token Profits Surge
Coinbase CEO Pushes Back on UK Stablecoin Caps as Token Profits Surge The proposal would cap stablecoin holdings and curb yields, a move critics say could push liquidity overseas as stablecoins become a core revenue stream. Vismaya V Go to decrypt.co
-
Bitcoin Ticks Higher as Markets Weigh Trump Address, Broader Risk Sentiment
Bitcoin Ticks Higher as Markets Weigh Trump Address, Broader Risk Sentiment Bitcoin remains sensitive to broader risk sentiment, with traders positioning ahead of Nvidia’s earnings and a rebound in global stocks. Akash Girimath Go to decrypt.co
-
Stripe in Early Talks on Potential PayPal Deal: Bloomberg
Stripe in Early Talks on Potential PayPal Deal: Bloomberg The deal could combine two major payments firms already expanding into stablecoin and crypto infrastructure. Vince Dioquino Go to decrypt.co
-
Treasury Sanctions Russian ‘Exploit’ Broker Over Stolen US Cyber Tools
Treasury Sanctions Russian ‘Exploit’ Broker Over Stolen US Cyber Tools It marks the first use of the Protecting American Intellectual Property Act, targeting a firm accused of brokering stolen U.S. cyber tools. Jason Nelson Go to decrypt.co
-
Coinbase, Kraken and Binance Push Deeper Into Tokenization as Capital Shifts
Coinbase, Kraken and Binance Push Deeper Into Tokenization as Capital Shifts Tokenized real-world assets have continued to expand despite a broader market slide, with assets distributed on-chain up nearly 300% year over year. Stacy Elliott Go to decrypt.co
-
Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation arXiv:2602.20297v1 Announce Type: new Abstract: We study gap-dependent performance guarantees for nearly minimax-optimal algorithms in reinforcement learning with linear function approximation. While prior works have established gap-dependent regret bounds in this setting, existing analyses do not apply to algorithms that achieve the nearly…
-
Selecting Optimal Variable Order in Autoregressive Ising Models
Selecting Optimal Variable Order in Autoregressive Ising Models arXiv:2602.20394v1 Announce Type: new Abstract: Autoregressive models enable tractable sampling from learned probability distributions, but their performance critically depends on the variable ordering used in the factorization via complexities of the resulting conditional distributions. We propose to learn the Markov random field describing the underlying data, and…
-
Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,lambda}$ Targets
Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,lambda}$ Targets arXiv:2602.20555v1 Announce Type: new Abstract: The tremendous success of Transformer models in fields such as large language models and computer vision necessitates a rigorous theoretical investigation. To the best of our knowledge, this paper is the first work proving that standard Transformers can…
-
Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness
Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness arXiv:2602.20585v1 Announce Type: new Abstract: Understanding minimal assumptions that enable learning and generalization is perhaps the central question of learning theory. Several celebrated results in statistical learning theory, such as the VC theorem and Littlestone’s characterization of online learnability, establish conditions on the hypothesis…
-
Amortized Bayesian inference for actigraph time sheet data from mobile devices
Amortized Bayesian inference for actigraph time sheet data from mobile devices arXiv:2602.20611v1 Announce Type: new Abstract: Mobile data technologies use “actigraphs” to furnish information on health variables as a function of a subject’s movement. The advent of wearable devices and related technologies has propelled the creation of health databases consisting of human movement data to…
-
Optimizing Token Generation in PyTorch Decoder Models
Optimizing Token Generation in PyTorch Decoder Models Hiding host-device synchronization via CUDA stream interleaving The post Optimizing Token Generation in PyTorch Decoder Models appeared first on Towards Data Science. Chaim Rand Go to original source
-
Decisioning at the Edge: Policy Matching at Scale
Decisioning at the Edge: Policy Matching at Scale Policy-to-Agency Optimization with PuLP The post Decisioning at the Edge: Policy Matching at Scale appeared first on Towards Data Science. Erika Gomes-Gonçalves Go to original source
-
Optimizing Deep Learning Models with SAM
Optimizing Deep Learning Models with SAM A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of modern deep learning models The post Optimizing Deep Learning Models with SAM appeared first on Towards Data Science. Anindya Dey Go to original source
-
AI Bots Formed a Cartel. No One Told Them To.
AI Bots Formed a Cartel. No One Told Them To. Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a feature of the math. The post AI Bots Formed a Cartel. No One Told Them To. appeared first on Towards Data Science. Kaushik Rajan Go to original source
-
Web data search specialist Nimble raises $47M to fuel growth
Web data search specialist Nimble raises $47M to fuel growth By raising funding when AI developers are dominating VC interest, the startup shows that there is a need for agents and other AI tools to include context from external sources. Go to techtarget
-
Collate Introduces Semantic Intelligence Graph to Make Enterprise Data Understandable to AI
Collate Introduces Semantic Intelligence Graph to Make Enterprise Data Understandable to AI Collate, Inc., the semantic intelligence company, is introducing powerful capabilities that give AI agents and other AI workflows a deep semantic understanding of enterprise data assets, relationships, and context?transforming metadata into a usable semantic graph. Go to dbta
-
Zenarmor Creates Architecture-Driven SASE Channel Partner Program
Zenarmor Creates Architecture-Driven SASE Channel Partner Program Zenarmor, Inc., offering secure access and network security, is rolling out its Zenarmor SASE Channel Partner Program?a program designed to enable MSPs, MSSPs, ISPs, and security-focused partners to deliver, operate, and monetize SASE services without centralized cloud PoPs, service chaining, or architectural lock-in. Go to dbta
-
Waymo’s robotaxis now being dispatched in 10 major U.S. markets with expansion in Texas and Florida
Waymo’s robotaxis now being dispatched in 10 major U.S. markets with expansion in Texas and Florida Waymo will begin dispatching its robotaxis in four more cities in Texas and Florida, expanding the territory covered by its fleet of self-driving cars to 10 major U.S. metropolitan markets. Go to techxplore
-
Unlocking the ‘urban mine’: A path to US mineral sovereignty through e-waste
Unlocking the ‘urban mine’: A path to US mineral sovereignty through e-waste Inside America’s junk drawers sits an untapped fortune, and a national and economic security solution. As the global race for critical minerals intensifies, University of Houston researchers have unveiled a breakthrough supply chain model designed to transform e-waste from a mounting environmental hazard…
-
Rise of the rice robots—creating active smart materials
Rise of the rice robots—creating active smart materials Rice becomes weaker when compressed quickly, while staying stronger under slow pressure—a discovery enabling scientists to design a new material that could be used to build “soft” robots that change stiffness automatically and protective gear that adapts to impact speed. Researchers harnessed this effect to design a…
-
‘Probably’ doesn’t mean the same thing to your AI as it does to you
‘Probably’ doesn’t mean the same thing to your AI as it does to you When a human says an event is “probable” or “likely,” people generally have a shared, if fuzzy, understanding of what that means. But when an AI chatbot like ChatGPT uses the same word, it’s not assessing the odds the way we…
-
Solvent‑free perovskite solar cell technology could pave way for scalable production
Solvent‑free perovskite solar cell technology could pave way for scalable production Researchers at The Hong Kong University of Science and Technology (HKUST) have developed a multi-source co-evaporation recipe that markedly enhances the crystal quality of vacuum-deposited perovskite films. This advance brings all vacuum-deposited single-junction perovskite cells as well as perovskite-on-silicon tandem solar cells closer to…
-
ROI doubts and data gaps erode Australian tech leaders’ decision confidence
ROI doubts and data gaps erode Australian tech leaders’ decision confidence In boardrooms across the country, one question keeps surfacing: is our expanding technology budget translating into results and business value? As 75% of Australian organisations indicate that their technology budgets will increase into 2026, CTOs and technology departments face renewed pressure to convert that…
-
ASD launches malware analysis tool on GitHub
ASD launches malware analysis tool on GitHub The Australian Signals Directorate (ASD) has announced the public release of its open‑source malware analysis tool called Azul. ASD says that Azul enables government and private sector partners to collaborate on threat understanding, quickly identify common malware behaviours, and improve the speed and precision of response activities. It…
-
STAT+: Will Novo Nordisk’s slashing of obesity drug prices save patients’ money? It depends
STAT+: Will Novo Nordisk’s slashing of obesity drug prices save patients’ money? It depends Novo Nordisk made headlines Tuesday by announcing it would slash the list prices of its GLP-1 drugs and arguing that doing so would expand access. For insured patients who have to pay coinsurance — a certain percentage of the list price…
-
STAT+: Drugmakers lay out their legal arguments against Trump’s drug pricing experiments
STAT+: Drugmakers lay out their legal arguments against Trump’s drug pricing experiments WASHINGTON — The pharmaceutical and biotech industries are pushing back against two Trump administration proposals that would test plans to lower drug prices in Medicare by aligning them with the prices paid in other rich countries. Their comments preview arguments that they might…
-
STAT+: Novo reports ‘triple G’ obesity drug study results
STAT+: Novo reports ‘triple G’ obesity drug study results 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. I hope everyone on the East Coast is staying warm. Let’s get into the news today. How low can obesity drug prices go?…
-
STAT+: Pharmalittle: We’re reading about an FDA plan for ultra-rare drugs, Novo cutting GLP-1 drug prices, and more
STAT+: Pharmalittle: We’re reading about an FDA plan for ultra-rare drugs, Novo cutting GLP-1 drug prices, and more Rise and shine, everyone, another busy day is on the way. And it is getting off to a good start here on the Pharmalot campus, where we have clear blue skies and chilly breezes greeting us today.…
-
Hepatitis B vaccine rates are dropping
Hepatitis B vaccine rates are dropping Get your daily dose of health and medicine every weekday with STAT’s free newsletter Morning Rounds. Sign up here. Good morning. There’s nothing like an old-fashioned blizzard to ground you in your present, physical reality. I promise I’ll try to dig my car out faster this time around. Read the…
-
Fed Moves to Permanently Drop ‘Reputational Risk’ From Bank Supervision
Fed Moves to Permanently Drop ‘Reputational Risk’ From Bank Supervision Supporters say clearer rules are needed to replace informal supervisory pressure, as lawmakers and industry push Congress to settle crypto banking access. Vismaya V Go to decrypt.co
-
Terraform Estate Sues Jane Street Over Trades Tied to 2022 Crypto Market Collapse: WSJ
Terraform Estate Sues Jane Street Over Trades Tied to 2022 Crypto Market Collapse: WSJ The lawsuit alleges the trading firm positioned itself around undisclosed liquidity shifts as TerraUSD unraveled in 2022. Vince Dioquino Go to decrypt.co
-
Bitcoin’s Slide to $64,000 Is a ‘Macro Shock,’ Not a Market Breakdown
Bitcoin’s Slide to $64,000 Is a ‘Macro Shock,’ Not a Market Breakdown Bitcoin’s 50% drop from its October peak is a macro shock in an overleveraged market, not a broken cycle, experts claim. Akash Girimath Go to decrypt.co
-
Is Artificial General Intelligence Already Here? One AI Founder Thinks So
Is Artificial General Intelligence Already Here? One AI Founder Thinks So The comments arrive as developers struggle to secure AI systems that behave less like software and more like humans. Jason Nelson Go to decrypt.co
-
Critics Mock Anthropic’s Claims Chinese AI Labs Are Stealing Its Data
Critics Mock Anthropic’s Claims Chinese AI Labs Are Stealing Its Data Anthropic says Chinese AI firms are copying Claude, drawing online ridicule and scrutiny of AI training practices. Jason Nelson Go to decrypt.co
-
Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function
Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function arXiv:2602.18573v1 Announce Type: new Abstract: Machine-generated probability predictions are essential in modern classification tasks such as image classification. A model is well calibrated when its predicted probabilities correspond to observed event frequencies. Despite the need for multicategory recalibration methods, existing…
-
Stochastic Gradient Variational Inference with Price’s Gradient Estimator from Bures-Wasserstein to Parameter Space
Stochastic Gradient Variational Inference with Price’s Gradient Estimator from Bures-Wasserstein to Parameter Space arXiv:2602.18718v1 Announce Type: new Abstract: For approximating a target distribution given only its unnormalized log-density, stochastic gradient-based variational inference (VI) algorithms are a popular approach. For example, Wasserstein VI (WVI) and black-box VI (BBVI) perform gradient descent in measure space (Bures-Wasserstein space)…
-
Bounds and Identification of Joint Probabilities of Potential Outcomes and Observed Variables under Monotonicity Assumptions
Bounds and Identification of Joint Probabilities of Potential Outcomes and Observed Variables under Monotonicity Assumptions arXiv:2602.18762v1 Announce Type: new Abstract: Evaluating joint probabilities of potential outcomes and observed variables, and their linear combinations, is a fundamental challenge in causal inference. This paper addresses the bounding and identification of these probabilities in settings with discrete treatment…
-
Federated Measurement of Demographic Disparities from Quantile Sketches
Federated Measurement of Demographic Disparities from Quantile Sketches arXiv:2602.18870v1 Announce Type: new Abstract: Many fairness goals are defined at a population level that misaligns with siloed data collection, which remains unsharable due to privacy regulations. Horizontal federated learning (FL) enables collaborative modeling across clients with aligned features without sharing raw data. We study federated auditing…
-
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent arXiv:2602.18997v1 Announce Type: new Abstract: We investigate Stochastic Mirror Descent (SMD) with matrix parameters and vector-valued predictions, a framework relevant to multi-class classification and matrix completion problems. Focusing on the overparameterized regime, where the total number of parameters exceeds the number of training samples, we prove…
-
Is the AI and Data Job Market Dead?
Is the AI and Data Job Market Dead? What you should be doing in the current job market The post Is the AI and Data Job Market Dead? appeared first on Towards Data Science. Egor Howell Go to original source
-
PySpark for Pandas Users
PySpark for Pandas Users Common Pandas operations and their equivalents in PySpark The post PySpark for Pandas Users appeared first on Towards Data Science. Thomas Reid Go to original source
-
AI in Multiple GPUs: Gradient Accumulation & Data Parallelism
AI in Multiple GPUs: Gradient Accumulation & Data Parallelism Learn and implement gradient accum and data parallelism from scratch in PyTorch The post AI in Multiple GPUs: Gradient Accumulation & Data Parallelism appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source
-
Build Effective Internal Tooling with Claude Code
Build Effective Internal Tooling with Claude Code Use Claude Code to quickly build completely personalized applications The post Build Effective Internal Tooling with Claude Code appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
-
New Databricks tool targets streaming data cost, complexity
New Databricks tool targets streaming data cost, complexity With Zerobus Ingest, the vendor is providing a service that differentiates it from competitors by reducing the tools required to ingest real-time data to its lakehouse platform. Go to techtarget
-
Snowflake Cortex Code Now Supports More Data, Everywhere
Snowflake Cortex Code Now Supports More Data, Everywhere Snowflake, the AI Data Cloud company, announced that?Cortex Code CLI, Snowflake’s AI coding agent for local development environments, is expanding beyond Snowflake-native workflows to support any data source across systems, starting with dbt and?Apache Airflow?(now generally available).? Go to dbta
-
Qdrant 1.17 Supercharges Vector Search with a Variety of Updates
Qdrant 1.17 Supercharges Vector Search with a Variety of Updates Qdrant is releasing platform version 1.17.0?updating search latency, introducing relevance feedback query, and deploying greater operational observability. This release introduces a new Relevance Feedback Query as a scalable, vector-native approach to incorporating relevance feedback. Go to dbta
-
Modern Data Architecture in Practice with NetApp Instaclustr, WhereScape, and Hydrolix
Modern Data Architecture in Practice with NetApp Instaclustr, WhereScape, and Hydrolix As organizations scale their AI and analytics efforts, a data architecture that is “up to snuff” is even more critical to business success. Data teams are being asked to deliver faster insights, stronger governance, and AI-ready data, all while keeping costs and complexity in…
-
IBM Introduces Autonomous Storage with New FlashSystem Portfolio
IBM Introduces Autonomous Storage with New FlashSystem Portfolio IBM is unveiling the next generation of IBM FlashSystem, co-run by agentic AI, ushering in a new era of autonomous storage. By enhancing FlashSystem’s existing AI capabilities with agentic AI, IBM is redefining resilience through sustained protection, autonomous threat analysis, and customized recovery recommendations, the company said.…