不知道 不明了 不想要
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Viral ‘Stranger Things’ AI Videos Raise New Concerns Over Deepfakes
Viral ‘Stranger Things’ AI Videos Raise New Concerns Over Deepfakes Excerpts warn how the demos using Kling’s Motion Control AI spotlight new risks as full-body identity swaps flood social media. Jason Nelson Go to decrypt.co
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Democrats Blast SEC Over Crypto Retreat, Justin Sun’s Alleged China Ties
Democrats Blast SEC Over Crypto Retreat, Justin Sun’s Alleged China Ties House Democrats have accused the SEC of selectively enforcing laws against crypto firms, while spotlighting Tron founder Justin Sun. André Beganski Go to decrypt.co
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Accelerated Regularized Wasserstein Proximal Sampling Algorithms
Accelerated Regularized Wasserstein Proximal Sampling Algorithms arXiv:2601.09848v1 Announce Type: new Abstract: We consider sampling from a Gibbs distribution by evolving a finite number of particles using a particular score estimator rather than Brownian motion. To accelerate the particles, we consider a second-order score-based ODE, similar to Nesterov acceleration. In contrast to traditional kernel density score…
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CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data
CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data arXiv:2601.10494v1 Announce Type: new Abstract: With grid operators confronting rising uncertainty from renewable integration and a broader push toward electrification, Demand-Side Management (DSM) — particularly Demand Response (DR) — has attracted significant attention as a cost-effective mechanism for balancing modern electricity systems.…
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Coarsening Causal DAG Models
Coarsening Causal DAG Models arXiv:2601.10531v1 Announce Type: new Abstract: Directed acyclic graphical (DAG) models are a powerful tool for representing causal relationships among jointly distributed random variables, especially concerning data from across different experimental settings. However, it is not always practical or desirable to estimate a causal model at the granularity of given features in…
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Parametric RDT approach to computational gap of symmetric binary perceptron
Parametric RDT approach to computational gap of symmetric binary perceptron arXiv:2601.10628v1 Announce Type: new Abstract: We study potential presence of statistical-computational gaps (SCG) in symmetric binary perceptrons (SBP) via a parametric utilization of emph{fully lifted random duality theory} (fl-RDT) [96]. A structural change from decreasingly to arbitrarily ordered $c$-sequence (a key fl-RDT parametric component) is…
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Classification Imbalance as Transfer Learning
Classification Imbalance as Transfer Learning arXiv:2601.10630v1 Announce Type: new Abstract: Classification imbalance arises when one class is much rarer than the other. We frame this setting as transfer learning under label (prior) shift between an imbalanced source distribution induced by the observed data and a balanced target distribution under which performance is evaluated. Within this…
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When Shapley Values Break: A Guide to Robust Model Explainability
When Shapley Values Break: A Guide to Robust Model Explainability Shapley Values are one of the most common methods for explainability, yet they can be misleading. Discover how to overcome these limitations to achieve better insights. The post When Shapley Values Break: A Guide to Robust Model Explainability appeared first on Towards Data Science. Alon…
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How to Run Coding Agents in Parallel
How to Run Coding Agents in Parallel Get the most out of Claude Code The post How to Run Coding Agents in Parallel appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon
The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon Designing a centralized system to track daily habits and long-term goals The post The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon appeared first on Towards Data Science. Sabrine Bendimerad Go to…
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Do You Smell That? Hidden Technical Debt in AI Development
Do You Smell That? Hidden Technical Debt in AI Development Why speed without standards creates fragile AI products The post Do You Smell That? Hidden Technical Debt in AI Development appeared first on Towards Data Science. Erika Gomes-Gonçalves Go to original source
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Box releases Box Extract, its AI metadata agent
Box releases Box Extract, its AI metadata agent Line-of-business Box users can now tag contracts, reports and other commonly used docs with plain-language instructions, which an agent processes. Go to techtarget
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ScyllaDB X Cloud update addresses database cost, performance
ScyllaDB X Cloud update addresses database cost, performance Features such as autoscaling and advanced compression are designed to help customers reduce spending on their data management, analytics and AI initiatives. Go to techtarget
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MongoDB launches latest Voyage models to aid AI development
MongoDB launches latest Voyage models to aid AI development With many enterprises struggling to build advanced applications, new embedding and reranking models improve data retrieval to make agents and other tools more effective. Go to techtarget
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Infoblox to Acquire Axur to Expand its Preemptive Security Solution
Infoblox to Acquire Axur to Expand its Preemptive Security Solution Infoblox, a leader in hybrid, multi-cloud networking and preemptive security, is entering into a definitive agreement to acquire Axur, a global provider of AI-powered security solutions, enabling Infoblox’s preemptive security strategy to expand to better address brand abuse, fraud, data and credential theft, and the…
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IP Fabric Boosts Unified Cloud Visibility to Hasten Digital Transformation
IP Fabric Boosts Unified Cloud Visibility to Hasten Digital Transformation IP Fabric, the automated network assurance platform, is offering new capabilities that unify cloud, on-premises, and hybrid network assurance, along with simplifying operations for network, cloud, and security teams. Go to dbta
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Opengear Debuts Two New Paths to Network Resilience as Outages Surge
Opengear Debuts Two New Paths to Network Resilience as Outages Surge Opengear, a Digi International company, is adding to its Network Resilience Platform: the?CM8000 Series?and the?OM1300 Series?delivering compact, flexible, and automation-ready?out-of-band infrastructure?designed to respond to increasing outages and distributed sites that continue to scale. Go to dbta
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Fragmented permitting slows US clean energy projects, study finds
Fragmented permitting slows US clean energy projects, study finds As states race to build wind and solar projects needed to curb climate change, how governments approve those projects can either speed construction or fuel delays and conflict, according to a new study by researchers at the University of Massachusetts Amherst. Go to techxplore
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Free tool can reduce harmful engagement with AI-generated explicit images
Free tool can reduce harmful engagement with AI-generated explicit images A new evidence-based online educational tool aims to curb the watching, sharing, and creation of AI-generated explicit imagery. Go to techxplore
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Sub-zero green freezer achieves zero emissions
Sub-zero green freezer achieves zero emissions Researchers at the School of Engineering of The Hong Kong University of Science and Technology (HKUST) have developed the world’s first sub-zero Celsius elastocaloric freezing device, capable of reaching temperatures as low as -12℃. This represents a significant milestone in expanding green solid-state elastocaloric refrigeration technology into the global…
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Soft, 3D transistors could host living cells for bioelectronics
Soft, 3D transistors could host living cells for bioelectronics New research from the WISE group (Wearable, Intelligent, Soft Electronics) at The University of Hong Kong (HKU-WISE) has addressed a long-standing bioelectronic challenge: the development of soft, 3D transistors. Go to techxplore
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Forensic system cuts IoT attack analysis time by three-quarters
Forensic system cuts IoT attack analysis time by three-quarters A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of Electronic Security and Digital Forensics. This deep learning-driven system offers benefits over earlier approaches in detecting and reconstructing cyberattacks on components of the vast network of connected…
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Breaking down JPM 2026: the mood, the big interviews — and all the AI billboards
Breaking down JPM 2026: the mood, the big interviews — and all the AI billboards In last week’s STATus Report episode, we heard from STAT reporters Allison DeAngelis and Damian Garde, who shared what they would be keeping an eye out for at this year’s J.P. Morgan Healthcare Conference. Top of mind was predicting this…
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STAT+: On Day 4 of JPM, a chat with Regeneron’s George Yancopoulos, an IPO forecast, and all eyes on J&J
STAT+: On Day 4 of JPM, a chat with Regeneron’s George Yancopoulos, an IPO forecast, and all eyes on J&J This is the online version of The Readout, STAT’s flagship biotech newsletter. Sign up to get it in your inbox. We have made it! And so have you. This is Adam, Elaine, Matt, and Allison preparing to sign…
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STAT+: Trump releases health care plan amid pressure over affordability
STAT+: Trump releases health care plan amid pressure over affordability WASHINGTON — President Trump on Thursday released a hodgepodge of health care policies that would create new price-control power over pharmaceutical companies, but that otherwise wouldn’t fundamentally overhaul America’s existing system, as he faces mounting pressure to address the cost of insurance and care. The…
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STAT+: Former Emergent BioSolutions CEO sued for insider trading, company reaches $900K settlement in N.Y.
STAT+: Former Emergent BioSolutions CEO sued for insider trading, company reaches $900K settlement in N.Y. The former chief executive officer of Emergent BioSolutions was accused of insider trading by the New York attorney general in connection with a contract the company had to manufacture a Covid-19 vaccine for AstraZeneca. Robert Kramer allegedly sold more than…
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STAT+: Negotiations over ACA subsidy bill drag on
STAT+: Negotiations over ACA subsidy bill drag on 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. Inspirational scribbles from baristas have never inspired me, but HHS Deputy Secretary Jim O’Neill was moved…
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Senate Banking Committee Delays Markup of Key Crypto Bill as Industry Support Frays
Senate Banking Committee Delays Markup of Key Crypto Bill as Industry Support Frays Senate efforts to rewrite U.S. crypto rules hit another snag after the Banking Committee delayed markup of the industry-shaping bill. Vince Dioquino Go to decrypt.co
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Manhattan DA Urges Lawmakers to Strengthen Crypto Enforcement Tools
Manhattan DA Urges Lawmakers to Strengthen Crypto Enforcement Tools Manhattan DA Alvin Bragg is demanding criminal penalties for crypto scams, including one that have drained elderly New Yorkers’ life savings. Vismaya V Go to decrypt.co
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TD Cowen Trims Strategy Price Target as Bitcoin Yield Outlook Softens
TD Cowen Trims Strategy Price Target as Bitcoin Yield Outlook Softens TD Cowen cut its target but kept a buy rating, citing near-term modeling pressure from Strategy’s aggressive Bitcoin buying. Vince Dioquino Go to decrypt.co
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X Tightens Grok Image Generation Following International Backlash
X Tightens Grok Image Generation Following International Backlash X says it has limited Grok image tools to paid users and has added safeguards after misuse prompted growing regulatory scrutiny. Jason Nelson Go to decrypt.co
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Robinhood CEO Says AI Could Spark a ‘Job Singularity’
Robinhood CEO Says AI Could Spark a ‘Job Singularity’ Vlad Tenev argues AI will fuel a surge of new jobs, solo companies, and industries, not just cause displacement. Jason Nelson Go to decrypt.co
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Tail-Sensitive KL and R’enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
Tail-Sensitive KL and R’enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings arXiv:2601.09019v1 Announce Type: new Abstract: Hamiltonian Monte Carlo (HMC) algorithms are among the most widely used sampling methods in high dimensional settings, yet their convergence properties are poorly understood in divergences that quantify relative density mismatch, such as Kullback-Leibler (KL) and R’enyi…
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Horseshoe Mixtures-of-Experts (HS-MoE)
Horseshoe Mixtures-of-Experts (HS-MoE) arXiv:2601.09043v1 Announce Type: new Abstract: Horseshoe mixtures-of-experts (HS-MoE) models provide a Bayesian framework for sparse expert selection in mixture-of-experts architectures. We combine the horseshoe prior’s adaptive global-local shrinkage with input-dependent gating, yielding data-adaptive sparsity in expert usage. Our primary methodological contribution is a particle learning algorithm for sequential inference, in which the…
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MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
MLCBART: Multilabel Classification with Bayesian Additive Regression Trees arXiv:2601.08964v1 Announce Type: cross Abstract: Multilabel Classification (MLC) deals with the simultaneous classification of multiple binary labels. The task is challenging because, not only may there be arbitrarily different and complex relationships between predictor variables and each label, but associations among labels may exist even after accounting…
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SCaLE: Switching Cost aware Learning and Exploration
SCaLE: Switching Cost aware Learning and Exploration arXiv:2601.09042v1 Announce Type: cross Abstract: This work addresses the fundamental problem of unbounded metric movement costs in bandit online convex optimization, by considering high-dimensional dynamic quadratic hitting costs and $ell_2$-norm switching costs in a noisy bandit feedback model. For a general class of stochastic environments, we provide the…
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Efficient Clustering in Stochastic Bandits
Efficient Clustering in Stochastic Bandits arXiv:2601.09162v1 Announce Type: cross Abstract: We study the Bandit Clustering (BC) problem under the fixed confidence setting, where the objective is to group a collection of data sequences (arms) into clusters through sequential sampling from adaptively selected arms at each time step while ensuring a fixed error probability at the…
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Why Human-Centered Data Analytics Matters More Than Ever
Why Human-Centered Data Analytics Matters More Than Ever From optimizing metrics to designing meaning: putting people back into data-driven decisions The post Why Human-Centered Data Analytics Matters More Than Ever appeared first on Towards Data Science. Rashi Desai Go to original source
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What Is a Knowledge Graph — and Why It Matters
What Is a Knowledge Graph — and Why It Matters How structured knowledge became healthcare’s quiet advantage The post What Is a Knowledge Graph — and Why It Matters appeared first on Towards Data Science. Steve Hedden Go to original source
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Glitches in the Attention Matrix
Glitches in the Attention Matrix A history of Transformer artifacts and the latest research on how to fix them The post Glitches in the Attention Matrix appeared first on Towards Data Science. Jonathan Williford Go to original source
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Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries
Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit. The post Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries appeared first on Towards Data Science. Petr Koráb Go to…
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BackBox and Nomios Collaborate to Accelerate Enterprise Network Automation and Cyber Maturity
BackBox and Nomios Collaborate to Accelerate Enterprise Network Automation and Cyber Maturity BackBox, a leading provider of network cyber resilience solutions, is partnering with Nomios, one of Europe’s leading providers of cybersecurity services, to enhance network visibility and automation for IT and security teams.? Go to dbta
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Azul Announces Company Milestones for its Java Channel Program
Azul Announces Company Milestones for its Java Channel Program Azul, a company 100% focused on Java, announced continued momentum in its global channel program?marked by a shift toward continued elevation of the program’s strategic leadership and a strong year-over-year growth in channel-sourced and channel-involved new and upsell bookings. Go to dbta
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Build Intelligent, Scalable, and Autonomous Databases with MariaDB Cloud
Build Intelligent, Scalable, and Autonomous Databases with MariaDB Cloud Whether you’re an enterprise architect, a DBA, or an application developer, a recent DBTA webinar offered a clear path to reducing complexity and accelerating innovation with MariaDB Cloud. Go to dbta
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Commvault Gives Cloud Developers an Easy Way to Bring Resilience to S3 Data with the Unified Data Vault
Commvault Gives Cloud Developers an Easy Way to Bring Resilience to S3 Data with the Unified Data Vault Commvault, a leader in unified resilience at enterprise scale, is introducing Commvault Cloud Unified Data Vault, a cloud-native service that extends Commvault’s trusted, air-gapped protection and resilience capabilities to data written using the S3 protocol. Go to…
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Study offers roadmap for cleaner, lower-cost EV charging in cold weather
Study offers roadmap for cleaner, lower-cost EV charging in cold weather Electrifying cars and trucks can cut greenhouse gas emissions, but in cold regions the climate benefits hinge on what powers the grid. Go to techxplore
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Digital mark and data protection guidelines ‘silence’ on AI training prevents effective competition, experts warn
Digital mark and data protection guidelines ‘silence’ on AI training prevents effective competition, experts warn A “silence” in new data guidelines risks preventing fair competition in AI development and allows dominant firms to strengthen their artificial intelligence, experts have warned. Go to techxplore
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Generative AI tool helps 3D print personalized items that withstand daily use
Generative AI tool helps 3D print personalized items that withstand daily use Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos and photos—but their…
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Robot learns to lip sync by watching YouTube
Robot learns to lip sync by watching YouTube Almost half of our attention during face-to-face conversation focuses on lip motion. Yet, robots still struggle to move their lips correctly. Even the most advanced humanoids make little more than muppet mouth gestures—if they have a face at all. Go to techxplore
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Gaps between perception and reality might be putting the brakes on electric vehicle sales in rural areas
Gaps between perception and reality might be putting the brakes on electric vehicle sales in rural areas A University of Michigan survey of 1,000 rural Michigan residents reveals a striking gap between perception and reality when it comes to electric vehicles. Go to techxplore
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STAT+: On Day 3 of JPM, pharma threads a needle with the White House, and Novo Nordisk has an eye on M&A
STAT+: On Day 3 of JPM, pharma threads a needle with the White House, and Novo Nordisk has an eye on M&A This is the online version of The Readout, STAT’s flagship biotech newsletter. Sign up to get it in your inbox. It’s Day 3 of JPM and all of us — Matt, Elaine, Adam, and Allison — are…
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STAT+: Secretive Project Prometheus takes VC Bob Nelsen beyond just health care
STAT+: Secretive Project Prometheus takes VC Bob Nelsen beyond just health care SAN FRANCISCO — Venture capitalist Bob Nelsen believes his latest project will be “one of the most important companies in the world.” But, unusually for the longtime biotech investor, it’s not strictly in health care. Nelsen has been quietly working on a new…
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U.S. overdose deaths fell through most of 2025, federal data reveals
U.S. overdose deaths fell through most of 2025, federal data reveals NEW YORK — U.S. overdose deaths fell through most of last year, suggesting a lasting improvement in an epidemic that had been worsening for decades. Federal data released Wednesday showed that overdose deaths have been falling for more than two years — the longest drop in…
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Live from JPM 2026, a sit-down with Novo Nordisk’s CEO and VC Bob Nelsen
Live from JPM 2026, a sit-down with Novo Nordisk’s CEO and VC Bob Nelsen How did an office clerk become CEO of a major pharmaceutical company? What’s “Project Prometheus”? And what’s next in drug R&D? Allison, Adam, and Elaine are asking those questions live from the J.P. Morgan Healthcare Conference in San Francisco. Read the…
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Trump administration cuts up to $1.9 billion from mental health and addiction treatment programs
Trump administration cuts up to $1.9 billion from mental health and addiction treatment programs The federal agency that oversees mental health and addiction treatment on Tuesday made major cuts to programs across the behavioral health field, according to eight sources with knowledge of the decisions. While the exact funding cuts enacted by the Substance Abuse…
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Why Ethereum Could Be Ready to Outperform Bitcoin in 2026
Why Ethereum Could Be Ready to Outperform Bitcoin in 2026 Ethereum could narrow its performance gap with Bitcoin in 2026 as capital rotates and on-chain activity improves, Decrypt was told. Akash Girimath Go to decrypt.co
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Bitcoin Advocates Press US Lawmakers on Stablecoin Tax Rules
Bitcoin Advocates Press US Lawmakers on Stablecoin Tax Rules The groups urged Congress to extend crypto tax relief beyond stablecoins, warning the current approach would not simplify everyday payments. Vismaya V Go to decrypt.co
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Galaxy Compares DeFi Provisions in Crypto Bill to Patriot Act Surveillance
Galaxy Compares DeFi Provisions in Crypto Bill to Patriot Act Surveillance Galaxy said that new Treasury authorities in a Senate draft could mark the largest surveillance expansion since 2001. Vince Dioquino Go to decrypt.co
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Political Theorist Says He ‘Red Pilled’ Anthropic’s Claude, Exposing Prompt Bias Risks
Political Theorist Says He ‘Red Pilled’ Anthropic’s Claude, Exposing Prompt Bias Risks The ‘Dark Enlightenment’ pundit published a transcript he says shows how easily a chatbot can be steered into echoing a user’s ideology. Josh Quittner Go to decrypt.co
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‘Warhammer 40,000’ Maker Games Workshop Rules Out Generative AI
‘Warhammer 40,000’ Maker Games Workshop Rules Out Generative AI U.K. tabletop gaming company Games Workshop says AI-generated content will not be used in Warhammer design or creative processes. Jason Nelson Go to decrypt.co
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Decentralized Online Convex Optimization with Unknown Feedback Delays
Decentralized Online Convex Optimization with Unknown Feedback Delays arXiv:2601.07901v1 Announce Type: new Abstract: Decentralized online convex optimization (D-OCO), where multiple agents within a network collaboratively learn optimal decisions in real-time, arises naturally in applications such as federated learning, sensor networks, and multi-agent control. In this paper, we study D-OCO under unknown, time-and agent-varying feedback delays.…
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A Statistical Assessment of Amortized Inference Under Signal-to-Noise Variation and Distribution Shift
A Statistical Assessment of Amortized Inference Under Signal-to-Noise Variation and Distribution Shift arXiv:2601.07944v1 Announce Type: new Abstract: Since the turn of the century, approximate Bayesian inference has steadily evolved as new computational techniques have been incorporated to handle increasingly complex and large-scale predictive problems. The recent success of deep neural networks and foundation models has…
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Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds
Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds arXiv:2601.08100v1 Announce Type: new Abstract: Understanding the generalization behavior of deep neural networks remains a fundamental challenge in modern statistical learning theory. Among existing approaches, PAC-Bayesian norm-based bounds have demonstrated particular promise due to their data-dependent nature and their ability to capture algorithmic and geometric properties…
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Structural Dimension Reduction in Bayesian Networks
Structural Dimension Reduction in Bayesian Networks arXiv:2601.08236v1 Announce Type: new Abstract: This work introduces a novel technique, named structural dimension reduction, to collapse a Bayesian network onto a minimum and localized one while ensuring that probabilistic inferences between the original and reduced networks remain consistent. To this end, we propose a new combinatorial structure in…
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Robust low-rank estimation with multiple binary responses using pairwise AUC loss
Robust low-rank estimation with multiple binary responses using pairwise AUC loss arXiv:2601.08618v1 Announce Type: new Abstract: Multiple binary responses arise in many modern data-analytic problems. Although fitting separate logistic regressions for each response is computationally attractive, it ignores shared structure and can be statistically inefficient, especially in high-dimensional and class-imbalanced regimes. Low-rank models offer a…
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An introduction to AWS Bedrock
An introduction to AWS Bedrock The how, why, what and where of Amazon’s LLM access layer The post An introduction to AWS Bedrock appeared first on Towards Data Science. Thomas Reid Go to original source
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From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric
From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric Dataflows were (rightly?) considered “the slowest and least performant option” for ingesting data into Power BI/Microsoft Fabric. However, things are changing rapidly and the latest Dataflow enhancements changes how we play the game The post From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in…
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Under the Uzès Sun: When Historical Data Reveals the Climate Change
Under the Uzès Sun: When Historical Data Reveals the Climate Change Longer summers, milder winters: analysis of temperature trends in Uzès, France, year after year. The post Under the Uzès Sun: When Historical Data Reveals the Climate Change appeared first on Towards Data Science. Marc Polizzi Go to original source
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Why Your ML Model Works in Training But Fails in Production
Why Your ML Model Works in Training But Fails in Production Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and time does not behave the way we expect. The post Why Your ML Model Works in Training But Fails in Production appeared first on Towards Data Science. Sudheer Singamsetty…
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How to Maximize Claude Code Effectiveness
How to Maximize Claude Code Effectiveness Learn how to get the most out of agentic coding The post How to Maximize Claude Code Effectiveness appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How data lineage became a boardroom metric
How data lineage became a boardroom metric Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments. Go to techtarget
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Sisense targets embedding AI with latest new features
Sisense targets embedding AI with latest new features Tools such as an MCP server and a natural language assistant demonstrate the vendor’s evolution toward artificial intelligence as the interface for analytics. Go to techtarget
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CIQ Transforms its Fuzzball Platform to Deliver Turnkey Sovereign AI with Service Endpoints Capability
CIQ Transforms its Fuzzball Platform to Deliver Turnkey Sovereign AI with Service Endpoints Capability CIQ, the founding support and services partner of Rocky Linux, is launching Service Endpoints, a new capability for its Fuzzball platform that enables Fuzzball to be a turnkey, sovereign AI infrastructure platform by unifying model training, fine-tuning, validation, and inference in…
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AtData Releases Gibberish Detection to Strengthen Fraud Intelligence
AtData Releases Gibberish Detection to Strengthen Fraud Intelligence AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that surfaces a fast, high-confidence indicator of likely bot or synthetic addresses. Go to dbta
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Stop Leaks in Your Cloud Bill with Quest Software
Stop Leaks in Your Cloud Bill with Quest Software As Snowflake footprints expand, organizations are under growing pressure to?prove value, control spend, and?deliver consistent performance. But FinOps dashboards often miss the real problem: not just compute, but?waste. Go to dbta
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Catalogic Software Releases DPX 4.14 to Simplify Long-Term Data Protection and Strengthen Hybrid Backup Strategies
Catalogic Software Releases DPX 4.14 to Simplify Long-Term Data Protection and Strengthen Hybrid Backup Strategies Catalogic Software,?a provider of secure data protection solutions, is introducing Catalogic DPX 4.14, providing a new web-based interface that simplifies daily tape management, automates routine maintenance, and improves visibility across hybrid environments. Go to dbta
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What can technology do to stop AI-generated sexualized images?
What can technology do to stop AI-generated sexualized images? The global outcry over the sexualization and nudification of photographs—including of children—by Grok, the chatbot developed by Elon Musk’s artificial intelligence company xAI, has led to urgent discussions about how such technology should be more strictly regulated. Go to techxplore
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Perovskite-based betavoltaic battery achieves high efficiency and long-term stability
Perovskite-based betavoltaic battery achieves high efficiency and long-term stability A research team led by Professor Su-Il In of the Department of Energy Science & Engineering at DGIST has achieved a breakthrough improvement in the performance of the radiation absorber, a key component of perovskite-based betavoltaic batteries, by applying additive engineering and antisolvent process control techniques.…
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Meta begins job cuts as it shifts from Metaverse to AI devices
Meta begins job cuts as it shifts from Metaverse to AI devices Meta Platforms Inc. is beginning to cut more than 1,000 jobs from the company’s Reality Labs division, part of a plan to redirect resources from virtual reality and metaverse products toward AI wearables and phone features. Go to techxplore
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Adding batteries to hydropower facilities could increase dam lifespan and potential revenue
Adding batteries to hydropower facilities could increase dam lifespan and potential revenue In its current form, the nation’s electric grid largely doesn’t store energy. The vast majority of electricity generated by fossil fuels, hydropower, and other sources flows into the grid and is immediately used by consumers. But as battery energy storage becomes cheaper and…
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Q&A: Will self-driving cars reduce traffic injuries? Researchers examine promising data
Q&A: Will self-driving cars reduce traffic injuries? Researchers examine promising data Driverless vehicles haven’t yet taken to Canadian roads, but they’ve already rolled out in some other countries. Proponents say the technology will mean fewer accidents, while others have raised concerns about safety, liability and public acceptance, among other issues. Go to techxplore
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Four trends set to shape the CIO agenda in 2026
Four trends set to shape the CIO agenda in 2026 Every new year comes with fresh challenges and opportunities, but the unprecedented rise of AI over the course of this year makes the CIO playbook for 2026 particularly challenging and unpredictable. There has, however, been enough evidence to suggest a few key areas that CIOs…
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CrowdStrike and Nord Security to bolster SMB defences
CrowdStrike and Nord Security to bolster SMB defences CrowdStrike has announced it is partnering with Nord Security to provide joint cybersecurity solutions for SMBs worldwide. Under the agreement, the companies will combine CrowdStrike’s AI-native Falcon platform with Nord Security’s secure access and credential management solutions to provide enterprise-grade protection on an SMB budget. Nord Security…
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STAT+: HHS dismisses member of vaccine injury advisory panel
STAT+: HHS dismisses member of vaccine injury advisory panel WASHINGTON — At least one member of a committee that advises the federal government on its vaccine injury compensation program has had her term prematurely ended, potentially foreshadowing further changes to the federal apparatus that reviews vaccine injuries and compensates patients. Veronica McNally, an attorney who…
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STAT+: On Day 2 of JPM, Gilead lays outs it next test, a VC looks to raise funds, and one firm has FDA whiplash
STAT+: On Day 2 of JPM, Gilead lays outs it next test, a VC looks to raise funds, and one firm has FDA whiplash This is the online version of The Readout, STAT’s flagship biotech newsletter. Sign up to get it in your inbox. You’re back. We’re sort of back. It’s Day 2 of JPM and we’re…
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STAT+: Watch: At JPM, former drug regulator Richard Pazdur rings the alarm about politics at FDA
STAT+: Watch: At JPM, former drug regulator Richard Pazdur rings the alarm about politics at FDA Richard Pazdur, a veteran regulator at the Food and Drug Administration until last month, joined STAT in San Francisco on Monday evening to make his first public remarks about the circumstances leading up to his abrupt departure. At an…
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Kennedy adds two OB-GYNs to vaccine advisory panel amid review of shots for pregnant women
Kennedy adds two OB-GYNs to vaccine advisory panel amid review of shots for pregnant women WASHINGTON — Health secretary Robert F. Kennedy Jr. appointed two new members to the main federal vaccine advisory board, his latest change to a group that has made a series of controversial recommendations and upended the usual processes for vaccine…
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Opinion: 46% of U.S. counties don’t have a cardiologist. ARPA-H’s new agentic AI program could bring them specialized care
Opinion: 46% of U.S. counties don’t have a cardiologist. ARPA-H’s new agentic AI program could bring them specialized care When my 14-year journey to train as a heart failure cardiologist finally concluded, I naturally assumed the hardest time was behind me. But in my first job I found myself working as the only cardiologist in…
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Why Bitcoin May Be Underpricing January Rate Cut Odds
Why Bitcoin May Be Underpricing January Rate Cut Odds Bitcoin’s rangebound price action and volatility may compound mispriced odds of a Fed rate cut ahead of key CPI data, analysts say. Akash Girimath Go to decrypt.co
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Eric Adams’ NYC Token Crashes Amid Liquidity Extraction Allegations
Eric Adams’ NYC Token Crashes Amid Liquidity Extraction Allegations On-chain data shows unexplained liquidity withdrawals as Eric Adam’s NYC token’s market cap continues to bleed. Vismaya V,André Beganski Go to decrypt.co
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Democrats Test Crypto Fundraising Reset With BlueVault Launch
Democrats Test Crypto Fundraising Reset With BlueVault Launch The new platform aims to help Democratic campaigns win over crypto donors ahead of the 2026 mid-term elections. Jason Nelson Go to decrypt.co
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Bipartisan Senate Bill Seeks Clarity on Crypto Developer Liability Under Federal Law
Bipartisan Senate Bill Seeks Clarity on Crypto Developer Liability Under Federal Law The bill aims to define when and how crypto developers can face liability, as enforcement actions have intensified the debate. Vince Dioquino Go to decrypt.co
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Markup of Senate Crypto Market Structure Bill Pushed to Late January
Markup of Senate Crypto Market Structure Bill Pushed to Late January Senate leaders have delayed a key vote on crypto market structure legislation, citing unresolved policy issues around stablecoin yield. Vince Dioquino Go to decrypt.co
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Physics-informed Gaussian Process Regression in Solving Eigenvalue Problem of Linear Operators
Physics-informed Gaussian Process Regression in Solving Eigenvalue Problem of Linear Operators arXiv:2601.06462v1 Announce Type: new Abstract: Applying Physics-Informed Gaussian Process Regression to the eigenvalue problem $(mathcal{L}-lambda)u = 0$ poses a fundamental challenge, where the null source term results in a trivial predictive mean and a degenerate marginal likelihood. Drawing inspiration from system identification, we construct…
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Inference-Time Alignment for Diffusion Models via Doob’s Matching
Inference-Time Alignment for Diffusion Models via Doob’s Matching arXiv:2601.06514v1 Announce Type: new Abstract: Inference-time alignment for diffusion models aims to adapt a pre-trained diffusion model toward a target distribution without retraining the base score network, thereby preserving the generative capacity of the base model while enforcing desired properties at the inference time. A central mechanism…
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Dimension-reduced outcome-weighted learning for estimating individualized treatment regimes in observational studies
Dimension-reduced outcome-weighted learning for estimating individualized treatment regimes in observational studies arXiv:2601.06782v1 Announce Type: new Abstract: Individualized treatment regimes (ITRs) aim to improve clinical outcomes by assigning treatment based on patient-specific characteristics. However, existing methods often struggle with high-dimensional covariates, limiting accuracy, interpretability, and real-world applicability. We propose a novel sufficient dimension reduction approach that…
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Constrained Density Estimation via Optimal Transport
Constrained Density Estimation via Optimal Transport arXiv:2601.06830v1 Announce Type: new Abstract: A novel framework for density estimation under expectation constraints is proposed. The framework minimizes the Wasserstein distance between the estimated density and a prior, subject to the constraints that the expected value of a set of functions adopts or exceeds given values. The framework…
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The Impact of Anisotropic Covariance Structure on the Training Dynamics and Generalization Error of Linear Networks
The Impact of Anisotropic Covariance Structure on the Training Dynamics and Generalization Error of Linear Networks arXiv:2601.06961v1 Announce Type: new Abstract: The success of deep neural networks largely depends on the statistical structure of the training data. While learning dynamics and generalization on isotropic data are well-established, the impact of pronounced anisotropy on these crucial…
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How AI Can Become Your Personal Language Tutor
How AI Can Become Your Personal Language Tutor How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and pronunciation correction. The post How AI Can Become Your Personal Language Tutor appeared first on Towards Data Science. Samir Saci Go to original source
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Why 90% Accuracy in Text-to-SQL is 100% Useless
Why 90% Accuracy in Text-to-SQL is 100% Useless The eternal promise of self-service analytics The post Why 90% Accuracy in Text-to-SQL is 100% Useless appeared first on Towards Data Science. Gary Zavaleta Go to original source