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Can AI Solve Failures in Your Supply Chain?
Can AI Solve Failures in Your Supply Chain? When your warehouse and transportation teams blame each other for late deliveries, who’s right? We can ask an agent connected to the data settle the debate. The post Can AI Solve Failures in Your Supply Chain? appeared first on Towards Data Science. Samir Saci Go to original…
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Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables
Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables Designing a hybrid SQL + vector retrieval system without schema changes, data migration, or performance trade-offs The post Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables appeared first on Towards Data Science. Partha Sarkar Go to original source
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Why Every Analytics Engineer Needs to Understand Data Architecture
Why Every Analytics Engineer Needs to Understand Data Architecture Get the data architecture right, and everything else becomes easier. I know it sounds simple, but in reality, little nuances in designing your data architecture may have costly implications. This article provides a crash course on the architectures that shape your daily decisions – from relational…
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Agentic AI for Modern Deep Learning Experimentation
Agentic AI for Modern Deep Learning Experimentation Stop babysitting training runs. Start shipping research. Autonomous experiment management built for/by deep learning engineers. The post Agentic AI for Modern Deep Learning Experimentation appeared first on Towards Data Science. Sam Black Go to original source
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Improving business forecasting with synthetic data and simulation modeling
Improving business forecasting with synthetic data and simulation modeling Synthetic data and simulation forecasting help executives overcome data constraints, test scenarios and strengthen strategic decision-making under uncertainty. Go to techtarget
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ThoughtSpot boosts agentic push with Analyst Studio update
ThoughtSpot boosts agentic push with Analyst Studio update A data prep agent and caching capabilities aimed at helping users control spending help the vendor stand out from its peers as it evolves toward becoming an agentic data platform. Go to techtarget
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Streaming specialist Redpanda adds governance to AI suite
Streaming specialist Redpanda adds governance to AI suite New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors. Go to techtarget
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Adopting a Time Series Database with InfluxData
Adopting a Time Series Database with InfluxData In today’s data landscape, organizations often default to complex, expensive data stacks when simpler, more specialized solutions could deliver better results at a fraction of the cost.?InfluxData senior developer advocate Cole Bowden joined DBTA’s webinar, Choosing the Right Data Tools: When to Use a Time Series Database, cutting…
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Sponsored Content: AI Can Give You Answers Fast ? Accuracy May Take Longer
Sponsored Content: AI Can Give You Answers Fast ? Accuracy May Take Longer This article explores the rapidly expanding role of artificial intelligence (AI) in business, highlighting some of its significant advantages and a few critical limitations. While AI offers unprecedented speed and scale in data processing, content generation, and preliminary research, its current iteration…
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Memgraph?s Atomic GraphRAG Speeds Up the Use of Graph-Based RAG Across Multiple Data Sources
Memgraph?s Atomic GraphRAG Speeds Up the Use of Graph-Based RAG Across Multiple Data Sources Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic GraphRAG. Go to dbta
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New Oracle AI Agents Boost Efficiency and Strengthen Resiliency for Supply Chain Professionals
New Oracle AI Agents Boost Efficiency and Strengthen Resiliency for Supply Chain Professionals Oracle is introducing new AI agents within?Oracle Fusion Cloud Applications?to help supply chain leaders accelerate decision-making and drive greater efficiency across planning, procurement, manufacturing, maintenance, and logistics. Go to dbta
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Oracle Helps Enterprises Enhance Process Manufacturing
Oracle Helps Enterprises Enhance Process Manufacturing Oracle is offering new capabilities in?Oracle Fusion Cloud Supply Chain & Manufacturing (SCM)?to help organizations manage the unique requirements of process manufacturing. According to Oracle, the latest innovations help organizations that produce goods by mixing or blending ingredients improve real-time production visibility and meet regulatory requirements by connecting formulas,…
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Research project launches free tool to make AI safer and more trustworthy
Research project launches free tool to make AI safer and more trustworthy A University of Glasgow-led research project is releasing a free tool to help organizations, policymakers, and the public maximize the benefits of AI applications while identifying their potential harms. The tool, developed as part of the Participatory Harm Auditing Workbenches and Methodologies (PHAWM)…
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Small nuclear reactors move forward: Will Maryland catch up?
Small nuclear reactors move forward: Will Maryland catch up? Small, possibly portable, nuclear reactors that can’t melt down are moving toward reality in the United States, with what may be the first two coming online or beginning construction this year. Go to techxplore
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Blending hydrogen into gas pipelines could enrich utilities and harm Californians
Blending hydrogen into gas pipelines could enrich utilities and harm Californians The people of Orange Cove in Fresno County could soon be an unwilling part of an experiment in dangerous, expensive utility boondoggles. And if California’s gas companies get their way, families statewide will be forced to pay higher energy bills, breathe more indoor air…
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Study finds ‘dosed’ nonlinearity can beat linear and fully nonlinear AI
Study finds ‘dosed’ nonlinearity can beat linear and fully nonlinear AI Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and financial market predictions are based on machine learning-driven sequence models. The quality of these…
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Phosphorus addition could unlock safer, high-performance sodium-ion batteries
Phosphorus addition could unlock safer, high-performance sodium-ion batteries Researchers at Kogakuin University have discovered that adding phosphorus (P2O5) to sodium-yttrium-silicate glasses significantly enhances their performance as solid electrolytes for next-generation sodium-ion batteries. This improvement arises from the formation of the high-performance Na5YSi4O12 crystal phase, which promotes high ionic conductivity and stability, making sodium-based batteries a…
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Why we need to redefine cybersecurity success to support CISOs
Why we need to redefine cybersecurity success to support CISOs Every six months, the OAIC releases its Notifiable Data Breaches statistics, which have long been relied upon as a means of gauging the current state of cybersecurity across Australian industries. An increase in notifiable breaches is met with concern and criticism, whereas the opposite is…
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Rubrik launches Rubrik Agent Cloud
Rubrik launches Rubrik Agent Cloud Cloud data management and data security company Rubrik has announced the launch into general availability of Rubrik Agent Cloud, which aims to help organisations deploy AI agents without compromising on security or governance. The solution is designed to act as a layer between applications, agents and their underlying large language…
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STAT+: New FDA guidance for antibiotic use in food-producing animals prompts criticism over antibiotic resistance
STAT+: New FDA guidance for antibiotic use in food-producing animals prompts criticism over antibiotic resistance In a bid to mitigate antibiotic resistance, the Food and Drug Administration has released guidance for drugmakers to define how long medically important antibiotics should be used in food-producing animals. But critics argue the effort fails to consider the impact…
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STAT+: NIH Director Bhattacharya to lead CDC after O’Neill’s exit
STAT+: NIH Director Bhattacharya to lead CDC after O’Neill’s exit WASHINGTON — National Institutes of Health Director Jay Bhattacharya will take on leadership of the Centers for Disease Control and Prevention on an acting basis, an administration official not authorized to speak publicly confirmed to STAT. Bhattacharya is taking the role after the previous acting…
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Upcoming meeting of federal vaccine panel may be postponed after HHS missed deadlines
Upcoming meeting of federal vaccine panel may be postponed after HHS missed deadlines WASHINGTON — Federal officials have missed the legal deadline to notify the public of an upcoming meeting of a vaccine advisory panel that was planned for next week, raising questions about whether the meeting, expected to be closely monitored for signs of…
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STAT wins fourth Polk Award for reporting on impact of Trump on health
STAT wins fourth Polk Award for reporting on impact of Trump on health Dear Readers, I’m thrilled to share that STAT has won a prestigious George Polk Award for documenting the Trump administration’s shakeup of the FDA, scientific research, and public health. Read the rest… Rick Berke Go to statnews
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STAT+: AI Prognosis: Who’s keeping tabs on how health insurers are using AI?
STAT+: AI Prognosis: Who’s keeping tabs on how health insurers are using AI? You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. If you are a nerd like me, you may enjoy this game…
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Wall Street Pushes Deeper Into Prediction Markets With New ETF Filings
Wall Street Pushes Deeper Into Prediction Markets With New ETF Filings Prediction market exposure is being packaged for public investors as the U.S. election cycle draws institutional interest. Vismaya V Go to decrypt.co
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Oracle Error Leaves DeFi Lender Moonwell With $1.8 Million in Bad Debt
Oracle Error Leaves DeFi Lender Moonwell With $1.8 Million in Bad Debt The error allowed liquidators to repay roughly $1 of debt to seize cbETH collateral, leaving Moonwell with nearly $1.8 million in bad debt. Jason Nelson Go to decrypt.co
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Bitcoin’s Divergence From Nasdaq Is a Warning on Dollar Liquidity: Arthur Hayes
Bitcoin’s Divergence From Nasdaq Is a Warning on Dollar Liquidity: Arthur Hayes Arthur Hayes warns Bitcoin’s divergence from a flat Nasdaq signals an AI-driven credit crisis, but experts say the timeline is overstretched. Akash Girimath Go to decrypt.co
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Federal Appeals Court Rejects Kalshi Bid to Pause Nevada Enforcement
Federal Appeals Court Rejects Kalshi Bid to Pause Nevada Enforcement The ruling clears a path for state action, leaving predictions-market operator Kalshi with limited options, according to one legal expert. Sebastian Sinclair Go to decrypt.co
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Why Bitcoin Open Interest Has Seen Its Largest Decline in Almost 3 Years
Why Bitcoin Open Interest Has Seen Its Largest Decline in Almost 3 Years Bitcoin open interest has plunged 55% from its October 2025 peak, marking the steepest decline since April 2023 as traders unwind leverage. Stacy Elliott Go to decrypt.co
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Mixture-of-Experts under Finite-Rate Gating: Communication–Generalization Trade-offs
Mixture-of-Experts under Finite-Rate Gating: Communication–Generalization Trade-offs arXiv:2602.15091v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures decompose prediction tasks into specialized expert sub-networks selected by a gating mechanism. This letter adopts a communication-theoretic view of MoE gating, modeling the gate as a stochastic channel operating under a finite information rate. Within an information-theoretic learning framework, we specialize…
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Universal priors: solving empirical Bayes via Bayesian inference and pretraining
Universal priors: solving empirical Bayes via Bayesian inference and pretraining arXiv:2602.15136v1 Announce Type: new Abstract: We theoretically justify the recent empirical finding of [Teh et al., 2025] that a transformer pretrained on synthetically generated data achieves strong performance on empirical Bayes (EB) problems. We take an indirect approach to this question: rather than analyzing the…
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Sparse Additive Model Pruning for Order-Based Causal Structure Learning
Sparse Additive Model Pruning for Order-Based Causal Structure Learning arXiv:2602.15306v1 Announce Type: new Abstract: Causal structure learning, also known as causal discovery, aims to estimate causal relationships between variables as a form of a causal directed acyclic graph (DAG) from observational data. One of the major frameworks is the order-based approach that first estimates a…
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Functional Central Limit Theorem for Stochastic Gradient Descent
Functional Central Limit Theorem for Stochastic Gradient Descent arXiv:2602.15538v1 Announce Type: new Abstract: We study the asymptotic shape of the trajectory of the stochastic gradient descent algorithm applied to a convex objective function. Under mild regularity assumptions, we prove a functional central limit theorem for the properly rescaled trajectory. Our result characterizes the long-term fluctuations…
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Near-Optimal Sample Complexity for Online Constrained MDPs
Near-Optimal Sample Complexity for Online Constrained MDPs arXiv:2602.15076v1 Announce Type: cross Abstract: Safety is a fundamental challenge in reinforcement learning (RL), particularly in real-world applications such as autonomous driving, robotics, and healthcare. To address this, Constrained Markov Decision Processes (CMDPs) are commonly used to enforce safety constraints while optimizing performance. However, existing methods often suffer…
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Advance Planning for AI Project Evaluation
Advance Planning for AI Project Evaluation The work to do before the work begins The post Advance Planning for AI Project Evaluation appeared first on Towards Data Science. Stephanie Kirmer Go to original source
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Use OpenClaw to Make a Personal AI Assistant
Use OpenClaw to Make a Personal AI Assistant Learn how to set up OpenClaw as a personalized AI agent The post Use OpenClaw to Make a Personal AI Assistant appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Building a LangGraph Agent from Scratch
Building a LangGraph Agent from Scratch Everything you need to know to get started The post Building a LangGraph Agent from Scratch appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development
Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development Conceptual overview and practical guidance The post Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
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The future of AI depends on better data, not bigger models
The future of AI depends on better data, not bigger models AI’s competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems. Go to techtarget
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Graphwise aims to boost AI accuracy with GraphRAG launch
Graphwise aims to boost AI accuracy with GraphRAG launch With standard RAG pipelines proving unreliable, the vendor’s new feature uses knowledge graphs to add needed context to the data retrieval process that fuels AI outputs. Go to techtarget
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SurrealDB raises $23M, launches update to fuel agentic AI
SurrealDB raises $23M, launches update to fuel agentic AI Though funding isn’t flowing as freely into data management as it once was, the startup is attracting interest by focusing on enabling customers to unify data for AI development. Go to techtarget
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What is data visualization?
What is data visualization? Data visualization translates information into charts, maps or other graphics to show patterns, trends and outliers in a way that can be grasped quickly. Go to techtarget
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Dynatrace Announces Accelerated Growth and Innovation with AWS
Dynatrace Announces Accelerated Growth and Innovation with AWS Dynatrace announced it is accelerating its business and deepening its strategic collaboration with AWS, surpassing $1 billion in AWS Marketplace sales and achieving the AWS Financial Services Competency to expand AI capabilities for enterprises worldwide. Go to dbta
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Black Duck Delivers Frictionless DevSecOp with Expanded Polaris Integrations
Black Duck Delivers Frictionless DevSecOp with Expanded Polaris Integrations Black Duck, a leader in AI-powered application security, is offering a powerful set of enhanced Black Duck Polaris Platform integrations across all major source code management (SCM) platforms?including GitHub, GitLab, Azure DevOps, and Bitbucket. Go to dbta
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Cisco Rolls Out Suite of Capabilities with AI Defense and AI-Aware SASE
Cisco Rolls Out Suite of Capabilities with AI Defense and AI-Aware SASE Cisco is introducing a variety of enhancements to its security portfolio to help enterprises adopt agentic AI with confidence?combining agent protection, interaction governance, and resilient connectivity for AI-driven workflows.? Go to dbta
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Operando X-rays reveal key aging process in sodium-zinc molten salt batteries
Operando X-rays reveal key aging process in sodium-zinc molten salt batteries Up to now, it has only been possible to deduce indirectly why high-temperature batteries lose efficiency and durability while in use. For the first time, a team from the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) has now used operando X-ray radiography to look directly into a sodium-zinc…
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Amazon’s Ring wanted to track your pets. It revealed the future of surveillance
Amazon’s Ring wanted to track your pets. It revealed the future of surveillance As a career counterintelligence officer for the US Federal Bureau of Investigation (FBI) and Defense Intelligence Agency, I worked inside a fully integrated intelligence system. Signals intelligence from the National Security Agency guided investigations. Satellite imagery from the National Reconnaissance Office provided…
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New electrolyzer turns plastic-waste syngas into ethylene with less energy
New electrolyzer turns plastic-waste syngas into ethylene with less energy For every ton of ethylene created, one ton of carbon dioxide is produced. With more than 300 million tons of ethylene produced each year, the production system has a huge carbon footprint that scientists and engineers are eager to reduce and eventually eliminate. A new…
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Demonstration of mass connectivity for the 6G era
Demonstration of mass connectivity for the 6G era The National Institute of Information and Communications Technology (NICT) has developed a hybrid signal processing method that integrates an annealing-based quantum computer with classical computing for next-generation mobile communication systems. By implementing this method into a base station, simultaneous communications with 10 devices were successfully demonstrated through…
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THz band testbed successfully transmits under 1,000 km/h high-mobility emulation
THz band testbed successfully transmits under 1,000 km/h high-mobility emulation The fifth-generation mobile communication system, also known as 5G, is expected to evolve as a critical infrastructure supporting individual users, industrial applications, and social systems. This requires access to broader frequency resources, but concerns have emerged regarding future congestion even in the existing frequency bands,…
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Is 2026 the year of identity? Just follow the money
Is 2026 the year of identity? Just follow the money If we should follow the money to understand business stories, then one trend in cybersecurity over the past year is impossible to ignore: identity has become the central point of the industry. More than half a dozen major cybersecurity acquisitions in 2025 and the start…
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Check Point unveils AI security strategy
Check Point unveils AI security strategy Check Point Software Technologies says it has commenced a strategic transformation aimed at adapting for the AI era. The company has unveiled a four-pillar strategy designed to help organisations securely navigate the adoption of AI, as well as three strategic acquisitions to reinforce its platform and support the transformation. The…
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Bayer agrees to $7.25 billion proposed settlement over thousands of Roundup cancer lawsuits
Bayer agrees to $7.25 billion proposed settlement over thousands of Roundup cancer lawsuits JEFFERSON CITY, Mo. — Agrochemical maker Bayer and attorneys for cancer patients announced a proposed $7.25 billion settlement Tuesday to resolve thousands of U.S. lawsuits alleging the company failed to warn people that its popular weedkiller Roundup could cause cancer. The proposed…
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STAT+: A shakeup at HHS, a toast to bipartisanship, and a cheese poof war
STAT+: A shakeup at HHS, a toast to bipartisanship, and a cheese poof war 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. Sen. Thom Tillis apparently went to the Nine Inch Nails…
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STAT+: Psilocybin data could be good enough for approval
STAT+: Psilocybin data could be good enough for approval Want to stay on top of the science and politics driving biotech today? Sign up to get our biotech newsletter in your inbox. Good day! Today: A look at growing GLP-1 competition in China, a drug reviewed as part of the FDA’s shiny new fast-track voucher hits a roadblock,…
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Steak ‘n Shake Says Bitcoin Has Lifted Sales ‘Dramatically’ in 9 Months
Steak ‘n Shake Says Bitcoin Has Lifted Sales ‘Dramatically’ in 9 Months The fast-food chain says bitcoin payments have boosted sales, as it channels crypto receipts into a growing corporate reserve. Vince Dioquino Go to decrypt.co
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Kraken Backs ‘Trump Accounts’ for Wyoming Newborns
Kraken Backs ‘Trump Accounts’ for Wyoming Newborns The move reflects a broader effort by crypto firms to lock in regulatory goodwill through long-term political and geographic alignment. Vismaya V Go to decrypt.co
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Bitcoin’s Long-Term Holders Show Signs of Strain After February Sell-Off
Bitcoin’s Long-Term Holders Show Signs of Strain After February Sell-Off Bitcoin’s long-term holders show weakening accumulation, with on-chain data pointing to $54,000 as the next support if $65,000 breaks. Akash Girimath Go to decrypt.co
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Philippines’ Digital Bank Maya Looks to US Market for Up to $1B IPO
Philippines’ Digital Bank Maya Looks to US Market for Up to $1B IPO A U.S. venue could offer deeper capital access as investors weigh the bank’s regulated crypto business against its core banking operations. Vince Dioquino Go to decrypt.co
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Crypto Trading Isn’t Coming to Elon Musk’s X (Yet), Says Product Head
Crypto Trading Isn’t Coming to Elon Musk’s X (Yet), Says Product Head The company’s “Smart Cashtag” feature is aimed at crypto enthusiasts, but the platform won’t facilitate trades directly. André Beganski Go to decrypt.co
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Nonparametric Distribution Regression Re-calibration
Nonparametric Distribution Regression Re-calibration arXiv:2602.13362v1 Announce Type: new Abstract: A key challenge in probabilistic regression is ensuring that predictive distributions accurately reflect true empirical uncertainty. Minimizing overall prediction error often encourages models to prioritize informativeness over calibration, producing narrow but overconfident predictions. However, in safety-critical settings, trustworthy uncertainty estimates are often more valuable than narrow…
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Metabolic cost of information processing in Poisson variational autoencoders
Metabolic cost of information processing in Poisson variational autoencoders arXiv:2602.13421v1 Announce Type: new Abstract: Computation in biological systems is fundamentally energy-constrained, yet standard theories of computation treat energy as freely available. Here, we argue that variational free energy minimization under a Poisson assumption offers a principled path toward an energy-aware theory of computation. Our key…
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Locally Private Parametric Methods for Change-Point Detection
Locally Private Parametric Methods for Change-Point Detection arXiv:2602.13619v1 Announce Type: new Abstract: We study parametric change-point detection, where the goal is to identify distributional changes in time series, under local differential privacy. In the non-private setting, we derive improved finite-sample accuracy guarantees for a change-point detection algorithm based on the generalized log-likelihood ratio test, via…
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Quantifying Normality: Convergence Rate to Gaussian Limit for Stochastic Approximation and Unadjusted OU Algorithm
Quantifying Normality: Convergence Rate to Gaussian Limit for Stochastic Approximation and Unadjusted OU Algorithm arXiv:2602.13906v1 Announce Type: new Abstract: Stochastic approximation (SA) is a method for finding the root of an operator perturbed by noise. There is a rich literature establishing the asymptotic normality of rescaled SA iterates under fairly mild conditions. However, these asymptotic…
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A Theoretical Framework for LLM Fine-tuning Using Early Stopping for Non-random Initialization
A Theoretical Framework for LLM Fine-tuning Using Early Stopping for Non-random Initialization arXiv:2602.13942v1 Announce Type: new Abstract: In the era of large language models (LLMs), fine-tuning pretrained models has become ubiquitous. Yet the theoretical underpinning remains an open question. A central question is why only a few epochs of fine-tuning are typically sufficient to achieve…
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The Strangest Bottleneck in Modern LLMs
The Strangest Bottleneck in Modern LLMs Why insanely fast GPUs still can’t make LLMs feel instant The post The Strangest Bottleneck in Modern LLMs appeared first on Towards Data Science. Moulik Gupta Go to original source
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18 data science tools to consider using in 2026
18 data science tools to consider using in 2026 Numerous tools are available for data science applications. Read about 18, including their features, capabilities and uses, to see if they fit your analytics needs. Go to techtarget
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Hybrid engine could reduce aviation emissions by up to 30%
Hybrid engine could reduce aviation emissions by up to 30% In the future, regional flights such as Trondheim-Oslo could become much more environmentally friendly with the help of a hybrid aircraft engine. This type of engine combines an electric motor and a combustion engine to drive a propeller. The innovation should be able to reduce…
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Can AI fulfill our emotional needs?
Can AI fulfill our emotional needs? Fully customizable virtual companions or avatars—and even “digital clones” of deceased people or living ex-partners—are among the new possibilities that artificial intelligence is bringing to the love lives of humans. But the use of AI in romance isn’t limited to these extreme cases. Human–AI relationships fall along a broad…
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Review finds 1–2 nm closed pores can boost hard carbon sodium storage
Review finds 1–2 nm closed pores can boost hard carbon sodium storage As the global transition toward clean energy accelerates, the demand for sustainable, low-cost, and scalable energy storage technologies continues to grow. While lithium-ion batteries have dominated the market for decades, concerns over lithium resource availability and cost volatility are driving intense research into…
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Want to boost uptake of battery EVs? Subsidize chargers at home and work—not the vehicles
Want to boost uptake of battery EVs? Subsidize chargers at home and work—not the vehicles Let’s say you want to encourage more drivers to shift to battery-electric vehicles. What’s the best way to do it? Globally, billions have been poured into incentives to encourage drivers to switch. The most popular approaches are rebates to cut…
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Miniaturized radar chip developed for next-generation wireless networks
Miniaturized radar chip developed for next-generation wireless networks A miniaturized radar chip, developed by researchers at Science Tokyo, advances Integrated Sensing and Communication for Beyond 5G and 6G systems. Measuring just 0.24 mm2 and consuming only 9.8 mW, the compact, low-power device generates high-speed, highly linear chirps by embedding linearization directly into the hardware, overcoming…
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Proactive cybersecurity must lead innovation in Australia’s AI future
Proactive cybersecurity must lead innovation in Australia’s AI future The recent establishment of the Australian Artificial Intelligence Safety Institute (AISI) represents a critical step in advancing the National AI Plan’s commitment to proactive safety. As artificial intelligence becomes deeply embedded across the economy, AISI’s role in identifying, managing and mitigating emerging risks, including cyber threats,…
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STAT+: Medicare Advantage growth dwindles for a second straight year
STAT+: Medicare Advantage growth dwindles for a second straight year The Medicare Advantage program continues to bring in more older adults and people with disabilities, but not nearly at the same rates from just a few years ago. Almost 35.5 million people were enrolled in a Medicare Advantage plan as of Feb. 1, up roughly…
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STAT+: Breakup between Brigham and Dana-Farber is getting messier fast
STAT+: Breakup between Brigham and Dana-Farber is getting messier fast What does it feel like to live in a house where your parents are getting divorced? Just ask some of the staff at Dana-Farber Cancer Institute. Things have been a bit awkward since the cancer hospital announced 2½ years ago that it was breaking its decades-long partnership…
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Opinion: How public health saved the CDC Injury Center
Opinion: How public health saved the CDC Injury Center Last May, the White House released a budget request for FY2026 that proposed eliminating the CDC’s National Center for Injury Prevention and Control. Nine months later, President Trump signed into law an appropriations bill that fully funds it for the rest of the fiscal year. Read…
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STAT+: Kennedy says he’ll act on legal challenge to ultra-processed foods
STAT+: Kennedy says he’ll act on legal challenge to ultra-processed foods Health secretary Robert F. Kennedy Jr. fired the starting gun in a challenge to the food industry on Sunday, announcing on CBS’ “60 Minutes” that he plans to act on a plan outlined by former Food and Drug Administration chief David Kessler to overhaul…
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OpenAI Taps OpenClaw Founder to Lead Push Into Personal AI Agents
OpenAI Taps OpenClaw Founder to Lead Push Into Personal AI Agents The founder said he is turning OpenClaw into a foundation, calling OpenAI the fastest way to bring open agents to everyone. Vince Dioquino Go to decrypt.co
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UK Prime Minister Seeks New Powers to Regulate AI Chatbots as Child Safety Concerns Mount
UK Prime Minister Seeks New Powers to Regulate AI Chatbots as Child Safety Concerns Mount The move would bring AI chatbots under UK online safety laws, enabling rapid age limits and feature curbs to protect children. Vismaya V Go to decrypt.co
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Bitcoin Leverage Heats Up as Traders Bet on Price Rebound
Bitcoin Leverage Heats Up as Traders Bet on Price Rebound Bitcoin’s futures basis has widened amid retail dip buying surges, but one expert warns the setup may end in an “over-leveraged shakeout.” Akash Girimath Go to decrypt.co
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Hollywood’s AI Crackdown Opens Door for Copyright Detection Startups
Hollywood’s AI Crackdown Opens Door for Copyright Detection Startups Studios are escalating pressure on AI developers, as new tools aim to document whether generative models are trained on copyrighted material. Vince Dioquino Go to decrypt.co
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OpenClaw Creator Gets Big Offers to Acquire AI Sensation—Will It Stay Open Source?
OpenClaw Creator Gets Big Offers to Acquire AI Sensation—Will It Stay Open Source? Peter Steinberger’s open-source AI agent OpenClaw hit 180,000 GitHub stars and spawned MoltBook chaos. Now Meta and OpenAI want to buy it, but he’s determined to keep it free. Jose Antonio Lanz Go to decrypt.co
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Linear Regression with Unknown Truncation Beyond Gaussian Features
Linear Regression with Unknown Truncation Beyond Gaussian Features arXiv:2602.12534v1 Announce Type: new Abstract: In truncated linear regression, samples $(x,y)$ are shown only when the outcome $y$ falls inside a certain survival set $S^star$ and the goal is to estimate the unknown $d$-dimensional regressor $w^star$. This problem has a long history of study in Statistics and…
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A Regularization-Sharpness Tradeoff for Linear Interpolators
A Regularization-Sharpness Tradeoff for Linear Interpolators arXiv:2602.12680v1 Announce Type: new Abstract: The rule of thumb regarding the relationship between the bias-variance tradeoff and model size plays a key role in classical machine learning, but is now well-known to break down in the overparameterized setting as per the double descent curve. In particular, minimum-norm interpolating estimators…
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Blessings of Multiple Good Arms in Multi-Objective Linear Bandits
Blessings of Multiple Good Arms in Multi-Objective Linear Bandits arXiv:2602.12901v1 Announce Type: new Abstract: The multi objective bandit setting has traditionally been regarded as more complex than the single objective case, as multiple objectives must be optimized simultaneously. In contrast to this prevailing view, we demonstrate that when multiple good arms exist for multiple objectives,…
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Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures
Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures arXiv:2602.12923v1 Announce Type: new Abstract: Mode collapse, the failure to capture one or more modes when targetting a multimodal distribution, is a central challenge in modern variational inference. In this work, we provide a mathematical analysis of annealing based strategies for mitigating…
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TFTF: Training-Free Targeted Flow for Conditional Sampling
TFTF: Training-Free Targeted Flow for Conditional Sampling arXiv:2602.12932v1 Announce Type: new Abstract: We propose a training-free conditional sampling method for flow matching models based on importance sampling. Because a na”ive application of importance sampling suffers from weight degeneracy in high-dimensional settings, we modify and incorporate a resampling technique in sequential Monte Carlo (SMC) during intermediate…
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Weekly Entering & Transitioning – Thread 16 Feb, 2026 – 23 Feb, 2026
Weekly Entering & Transitioning – Thread 16 Feb, 2026 – 23 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.…
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Best technique for training models on a sample of data?
Best technique for training models on a sample of data? Due to memory limits on my work computer I’m unable to train machine learning models on our entire analysis dataset. Given my data is highly imbalanced I’m under-sampling from the majority class of the binary outcome. What is the proper method to train ML models…
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LLMs for data pipelines without losing control (API → DuckDB in ~10 mins)
LLMs for data pipelines without losing control (API → DuckDB in ~10 mins) Hey folks, I’ve been doing data engineering long enough to believe that “real” pipelines meant writing every parser by hand, dealing with pagination myself, and debugging nested JSON until it finally stopped exploding. I’ve also been pretty skeptical of the “just prompt…
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What differentiates a high impact analytics function from one that just produces dashboards?
What differentiates a high impact analytics function from one that just produces dashboards? I’m curious to hear from folks who’ve worked inside or alongside analytics teams. In your experience, what actually separates analytics groups that influence business decisions from those that mostly deliver reporting? submitted by /u/Proof_Wrap_2150 [link] [comments] /u/Proof_Wrap_2150 Go to original source
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Where do you see HR/People Analytics evolving over the next 5 years?
Where do you see HR/People Analytics evolving over the next 5 years? Curious how practitioners see the field shifting, particularly around: AI integration Predictive workforce modeling Skills-based org design Ethical boundaries Data ownership changes HR decision automation What capabilities do you think will define leading functions going forward? submitted by /u/Proof_Wrap_2150 [link] [comments] /u/Proof_Wrap_2150 Go…
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A beginner’s guide to Tmux: a multitasking superpower for your terminal
A beginner’s guide to Tmux: a multitasking superpower for your terminal One of the new things I’ve come across recently, while researching command-line-based coding assistants, is the mention and use of a tool I hadn’t heard of before. That tool is called Tmux, which stands for Terminal Multiplexer. In the simplest possible terms, Tmux allows you…
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Buzz of the Olympics: How drone cams deliver high-pace visuals and add a new dynamic for TV viewers
Buzz of the Olympics: How drone cams deliver high-pace visuals and add a new dynamic for TV viewers Standing on a tower overlooking the cliffs of the Cortina downhill course, there is someone who is just as involved in the biggest skiing races of the Winter Olympics as Mikaela Shiffrin and Breezy Johnson. Go to…
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Fast ride, higher bill: Why shared e-mopeds may widen suburban transport costs
Fast ride, higher bill: Why shared e-mopeds may widen suburban transport costs Saving on rent often means paying on time. In many suburban areas, limited rail access and infrequent, often delayed bus services make everyday travel difficult. Shared electric mopeds (e-mopeds) have emerged as a new form of micromobility well suited for trips that are…
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Why AI may overcomplicate answers: Humans and LLMs show ‘addition bias,’ often choosing extra steps over subtraction
Why AI may overcomplicate answers: Humans and LLMs show ‘addition bias,’ often choosing extra steps over subtraction When making decisions and judgments, humans can fall into common “traps,” known as cognitive biases. A cognitive bias is essentially the tendency to process information in a specific way or follow a systematic pattern. One widely documented cognitive…
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LLMs violate boundaries during mental health dialogues, study finds
LLMs violate boundaries during mental health dialogues, study finds Artificial intelligence (AI) agents, particularly those based on large language models (LLMs) like the conversational platform ChatGPT, are now widely used daily by numerous people worldwide. LLMs can generate texts that are highly realistic, to the point that they could be sometimes mistaken for texts written…
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AI threatens to eat business software—and it could change the way we work
AI threatens to eat business software—and it could change the way we work In recent weeks, a range of large “software-as-a-service” companies, including Salesforce, ServiceNow and Oracle, have seen their share prices tumble. Go to techxplore