不知道 不明了 不想要
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Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces
Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces arXiv:2511.03735v1 Announce Type: new Abstract: Designing frictional interfaces to exhibit prescribed macroscopic behavior is a challenging inverse problem, made difficult by the non-uniqueness of solutions and the computational cost of contact simulations. Traditional approaches rely on heuristic search over low-dimensional parameterizations, which limits…
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Bifidelity Karhunen-Lo`eve Expansion Surrogate with Active Learning for Random Fields
Bifidelity Karhunen-Lo`eve Expansion Surrogate with Active Learning for Random Fields arXiv:2511.03756v1 Announce Type: new Abstract: We present a bifidelity Karhunen-Lo`eve expansion (KLE) surrogate model for field-valued quantities of interest (QoIs) under uncertain inputs. The approach combines the spectral efficiency of the KLE with polynomial chaos expansions (PCEs) to preserve an explicit mapping between input uncertainties…
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Learning Paths for Dynamic Measure Transport: A Control Perspective
Learning Paths for Dynamic Measure Transport: A Control Perspective arXiv:2511.03797v1 Announce Type: new Abstract: We bring a control perspective to the problem of identifying paths of measures for sampling via dynamic measure transport (DMT). We highlight the fact that commonly used paths may be poor choices for DMT and connect existing methods for learning alternate…
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A general technique for approximating high-dimensional empirical kernel matrices
A general technique for approximating high-dimensional empirical kernel matrices arXiv:2511.03892v1 Announce Type: new Abstract: We present simple, user-friendly bounds for the expected operator norm of a random kernel matrix under general conditions on the kernel function $k(cdot,cdot)$. Our approach uses decoupling results for U-statistics and the non-commutative Khintchine inequality to obtain upper and lower bounds…
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High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes arXiv:2511.03952v1 Announce Type: new Abstract: We develop a high-dimensional scaling limit for Stochastic Gradient Descent with Polyak Momentum (SGD-M) and adaptive step-sizes. This provides a framework to rigourously compare online SGD with some of its popular variants. We show that the scaling limits of SGD-M coincide…
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Expected Value Analysis in AI Product Management
Expected Value Analysis in AI Product Management An introduction to key concepts and practical applications The post Expected Value Analysis in AI Product Management appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
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The Reinforcement Learning Handbook: A Guide to Foundational Questions
The Reinforcement Learning Handbook: A Guide to Foundational Questions Simplifying all the concepts required to master reinforcement learning The post The Reinforcement Learning Handbook: A Guide to Foundational Questions appeared first on Towards Data Science. Avishek Biswas Go to original source
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Multi-Agent SQL Assistant, Part 2: Building a RAG Manager
Multi-Agent SQL Assistant, Part 2: Building a RAG Manager A hands-on guide to comparing multiple RAG strategies — Keyword, FAISS, and Chroma The post Multi-Agent SQL Assistant, Part 2: Building a RAG Manager appeared first on Towards Data Science. Alle Sravani Go to original source
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Ataccama automates data quality with agentic AI-fueled suite
Ataccama automates data quality with agentic AI-fueled suite The new version of the vendor’s platform automates tasks previously performed by humans to substantially reduce the time it takes to ensure that data can be trusted. Go to techtarget
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ExtraHop Delivers Visibility into Malicious Attacks with Advanced Network Detection Capabilities
ExtraHop Delivers Visibility into Malicious Attacks with Advanced Network Detection Capabilities ExtraHop, a leader in modern network detection and response (NDR), is introducing powerful new capabilities to detect the malicious use of PowerShell?delivering the critical visibility needed to dismantle the attack kill chain and providing essential insight to stop lateral movement in its tracks. Go…
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Cisco 360 Partner Program Gets a Boost to Empower Partners to Unlock the Full Power of Cisco
Cisco 360 Partner Program Gets a Boost to Empower Partners to Unlock the Full Power of Cisco Cisco is adding key elements to the Cisco 360 Partner Program that will launch on January 25, 2026, co-designed with partners to help accelerate their profitability and deliver greater customer value. Go to dbta
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Design principles for more reliable and trustworthy AI artists
Design principles for more reliable and trustworthy AI artists When users ask ChatGPT to generate an image in a Ghibli style, the actual image is created by DALL-E, a tool powered by diffusion models. Although these models produce stunning images—such as transforming photos into artistic styles, creating personalized characters, or rendering realistic landscapes—they also face…
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Dual-level engineering strategy shows promise for high-performance lithium–sulfur batteries
Dual-level engineering strategy shows promise for high-performance lithium–sulfur batteries Carbon-supported single-atom catalysts with metal-N moieties are highly promising for lithium–sulfur batteries. They can enhance redox kinetics and suppress the dissolution of lithium polysulfides. However, carbon substrate structure optimization and catalyst coordination environment modulation must be done simultaneously to maximize the potential of these catalysts. Go…
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Study uncovers oxygen trapping as cause of voltage loss in sodium cathodes
Study uncovers oxygen trapping as cause of voltage loss in sodium cathodes A research team led by Prof. Li Chao from East China Normal University has uncovered the origin of voltage decay in P2-type layered oxide cathodes. Using electron paramagnetic resonance (EPR) spectroscopy at the Steady-State Strong Magnetic Field Facility (SHMFF), the Hefei Institutes of…
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Optical system uses diffractive processors to achieve large-scale nonlinear computation Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Go to techxplore
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AI-based system successfully suppresses shipboard oil fires autonomously
AI-based system successfully suppresses shipboard oil fires autonomously A next-generation fire suppression system capable of autonomously detecting oil fires aboard naval vessels and precisely targeting and extinguishing them even in maritime environments has been developed domestically for the first time. Go to techxplore
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STAT+: Kennedy, a longtime pharma critic, embraces Trump deal to expand access to obesity drugs
STAT+: Kennedy, a longtime pharma critic, embraces Trump deal to expand access to obesity drugs WASHINGTON — Health Secretary Robert F. Kennedy Jr. was uncharacteristically chummy with pharma executives at the White House on Thursday as he cheered the Trump administration’s plan for lowering obesity medication prices. Kennedy has railed against drugmakers in the past, and…
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STAT+: Seven burning questions about Trump’s big deal for cheaper weight loss drugs
STAT+: Seven burning questions about Trump’s big deal for cheaper weight loss drugs WASHINGTON — The Trump administration’s deal to expand access to and lower the cost of weight loss drugs has left industry leaders, public health experts, and patients with a host of open questions. The administration’s agreements with Eli Lilly and Novo Nordisk…
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Federal judge orders Trump administration to fully fund SNAP benefits in November
Federal judge orders Trump administration to fully fund SNAP benefits in November A federal judge in Rhode Island ordered the Trump administration Thursday to find the money to fully fund SNAP benefits for November. The ruling by U.S. District Judge John J. McConnell Jr. gave President Donald Trump’s administration until Friday to make the payments…
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Melodrama at the FDA and the Pfizer-Novo bidding war
Melodrama at the FDA and the Pfizer-Novo bidding war On this week’s episode of “The Readout LOUD”: “Mean Girls” melodrama at the top of the FDA and the latest on the Pfizer-Novo Nordisk bidding war for Metsera. On a jam-packed show, your co-hosts, minus the vacationing Allison DeAngelis, chat with STAT’s D.C. correspondent Lizzy Lawrence…
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STAT+: FDA announces next round of priority review vouchers
STAT+: FDA announces next round of priority review vouchers WASHINGTON — The Food and Drug Administration on Thursday announced the second batch of companies being granted a “Commissioner’s National Priority Voucher,” a ticket to speedier reviews of drug candidates aligned with U.S. priorities. The announcement came as the Trump administration unveiled agreements with Eli Lilly and…
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Circle Updates Terms of Service to Allow ‘Legal’ Firearm Purchases With USDC
Circle Updates Terms of Service to Allow ‘Legal’ Firearm Purchases With USDC The USDC policy reversal on firearm purchases suggests that “stablecoins are at the whims of politicians,” an industry expert told Decrypt. Vismaya V Go to decrypt.co
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Bitcoin’s Relief Rally Lifts Spirits: Is it Time to Buy the Dip?
Bitcoin’s Relief Rally Lifts Spirits: Is it Time to Buy the Dip? Bitcoin’s rebound above $100,000 has revived hopes of a recovery, but analysts warn the bounce may be more technical than fundamental. Akash Girimath Go to decrypt.co
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Appeals Court Rejects Prisoner’s Lawsuit Over Alleged $354M Bitcoin Loss
Appeals Court Rejects Prisoner’s Lawsuit Over Alleged $354M Bitcoin Loss The court said the man had waited too long to reclaim his Bitcoin fortune, which he says was on a now-destroyed hard drive. Vince Dioquino Go to decrypt.co
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You Could’ve Made a 100x Prediction Market Bet on Last Night’s Elections
You Could’ve Made a 100x Prediction Market Bet on Last Night’s Elections A Polymarket wager on the margin of Mikie Sherrill’s victory in the New Jersey governor’s race severely undervalued the correct outcome. Sander Lutz Go to decrypt.co
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Bitcoin, Ethereum ETFs Shed $2.6 Billion in Assets Over the Past Week
Bitcoin, Ethereum ETFs Shed $2.6 Billion in Assets Over the Past Week Bearish investors cashing out of Bitcoin and Ethereum ETFs has helped depress crypto market prices. One analyst told Decrypt it was nothing to worry about. Mathew Di Salvo Go to decrypt.co
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Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models arXiv:2511.02986v1 Announce Type: new Abstract: Computational modeling of single-cell gene expression is crucial for understanding cellular processes, but generating realistic expression profiles remains a major challenge. This difficulty arises from the count nature of gene expression data and complex latent dependencies among genes. Existing generative models…
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Unifying Information-Theoretic and Pair-Counting Clustering Similarity
Unifying Information-Theoretic and Pair-Counting Clustering Similarity arXiv:2511.03000v1 Announce Type: new Abstract: Comparing clusterings is central to evaluating unsupervised models, yet the many existing similarity measures can produce widely divergent, sometimes contradictory, evaluations. Clustering similarity measures are typically organized into two principal families, pair-counting and information-theoretic, reflecting whether they quantify agreement through element pairs or aggregate…
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Precise asymptotic analysis of Sobolev training for random feature models
Precise asymptotic analysis of Sobolev training for random feature models arXiv:2511.03050v1 Announce Type: new Abstract: Gradient information is widely useful and available in applications, and is therefore natural to include in the training of neural networks. Yet little is known theoretically about the impact of Sobolev training — regression with both function and gradient data…
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Provable Accelerated Bayesian Optimization with Knowledge Transfer
Provable Accelerated Bayesian Optimization with Knowledge Transfer arXiv:2511.03125v1 Announce Type: new Abstract: We study how Bayesian optimization (BO) can be accelerated on a target task with historical knowledge transferred from related source tasks. Existing works on BO with knowledge transfer either do not have theoretical guarantees or achieve the same regret as BO in the…
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Provable Separations between Memorization and Generalization in Diffusion Models
Provable Separations between Memorization and Generalization in Diffusion Models arXiv:2511.03202v1 Announce Type: new Abstract: Diffusion models have achieved remarkable success across diverse domains, but they remain vulnerable to memorization — reproducing training data rather than generating novel outputs. This not only limits their creative potential but also raises concerns about privacy and safety. While empirical…
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We Didn’t Invent Attention — We Just Rediscovered It
We Didn’t Invent Attention — We Just Rediscovered It How selective amplification emerged across evolution, chemistry, and AI through convergent mathematical solutions The post We Didn’t Invent Attention — We Just Rediscovered It appeared first on Towards Data Science. Javier Marin Go to original source
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AI Papers to Read in 2025
AI Papers to Read in 2025 Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science. The post AI Papers to Read in 2025 appeared first on Towards Data Science. Ygor Serpa Go to original source
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How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)
How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP) Evaluating the retrieval quality of your RAG pipeline with binary, order-aware measures The post How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP) appeared first on Towards Data…
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Why Nonparametric Models Deserve a Second Look
Why Nonparametric Models Deserve a Second Look Discover how nonparametric conditional distributions unify regression, classification, and synthetic data generation—without assuming functional forms. The post Why Nonparametric Models Deserve a Second Look appeared first on Towards Data Science. Andrew Skabar Go to original source
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DiffusionData Introduces MCP Server to Maximize the Value of Real-Time Data
DiffusionData Introduces MCP Server to Maximize the Value of Real-Time Data DiffusionData, a provider of a secure, real-time data server, is introducing an open source implementation of the Model Context Protocol (MCP) that lets AI assistants interact with Diffusion in real-time?empowering users to explore, create, and configure topics and topic views through natural language, guided…
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Gigamon Supercharges Deep Observability Pipeline to Protect Against Cryptographic Threats in Quantum Computing
Gigamon Supercharges Deep Observability Pipeline to Protect Against Cryptographic Threats in Quantum Computing Gigamon, a leader in deep observability, is releasing GigaVUE 6.12, introducing new support for post-quantum cryptography (PQC) and further expanding the capabilities of the Gigamon Deep Observability Pipeline. Go to dbta
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Modernizing Applications for Better Data Management
Modernizing Applications for Better Data Management Applications are expected to be always-on, lightning fast, and endlessly scalable?whether it’s powering global ecommerce, enabling real-time analytics, or supporting AI-driven services. The ability to integrate data across clouds and platforms, ensure it is secure and trusted for AI and analytics, and deliver it through APIs and microservices, is…
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NVIDIA and Oracle Collaborate on U.S. Department of Energy?s Largest AI Supercomputer for Scientific Discovery
NVIDIA and Oracle Collaborate on U.S. Department of Energy?s Largest AI Supercomputer for Scientific Discovery NVIDIA and Oracle are partnering to build the U.S. Department of Energy (DOE)’s largest AI supercomputer to dramatically accelerate scientific discovery. The Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs and support the DOE’s mission of developing AI…
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Oracle Expands AI Agent Studio for Fusion Applications
Oracle Expands AI Agent Studio for Fusion Applications Oracle is introducing its latest updates to Oracle AI Agent Studio for Fusion Applications, a comprehensive platform for building, testing, and deploying AI agents and agent teams across the enterprise. According to the company, the latest updates expand the Oracle Fusion Cloud Applications AI ecosystem and include…
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Ultra-thin 3D display delivers wide-angle, highly-detailed images
Ultra-thin 3D display delivers wide-angle, highly-detailed images Researchers have developed an ultra-thin 3D display with a wide viewing angle, clear image quality and vivid display depth. By overcoming tradeoffs that typically limit glasses-free 3D displays, the advance could open new possibilities for highly detailed interactive experiences in health care, education and entertainment. Go to techxplore
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Inexpensive materials transform waste carbon into energy-rich compounds
Inexpensive materials transform waste carbon into energy-rich compounds Turning waste carbon into useful products is a vital part of sustainable manufacturing. Recycling carbon dioxide creates carbon monoxide, which through electricity can be converted into energy-rich compounds. However, existing devices for this process use anion exchange membranes that break down over time when exposed to organic…
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A computational camera lens that can focus on everything all at once
A computational camera lens that can focus on everything all at once Imagine snapping a photo where every detail, near and far, is perfectly sharp—from the flower petal right in front of you to the distant trees on the horizon. For over a century, camera designers have dreamed of achieving that level of clarity. Go…
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Human-centric photo dataset aims to help spot AI biases responsibly
Human-centric photo dataset aims to help spot AI biases responsibly A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be…
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Artificial proteins offer new path for fast, sustainable and biocompatible energy storage devices
Artificial proteins offer new path for fast, sustainable and biocompatible energy storage devices Researchers have managed to modify a class of proteins to give them the ability to transport and store electricity. These proteins can be used to create sustainable, efficient and biocompatible conducting materials. These materials are highly stable and easy to process, which…
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Veeam announces integration with Microsoft Sentinel
Veeam announces integration with Microsoft Sentinel Veeam has launched an app that provides integration between the Veeam Data Platform and Microsoft’s cloud-native security information and event management platform Microsoft Sentinel. The Veeam App for Microsoft Sentinel is designed to help organisations more easily detect, investigate and respond to cyberthreats and backup anomalies. Security teams can…
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Appeals court judges seem skeptical of Trump administration’s defense of capping NIH overhead payments
Appeals court judges seem skeptical of Trump administration’s defense of capping NIH overhead payments Federal appeals court judges’ questions and comments during a hearing Wednesday suggested they may be skeptical of some of the Trump administration’s central arguments in a lawsuit challenging its proposed changes to research overhead payments. The case revolves around a multibillion…
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STAT+: FTC raises concern about Novo Nordisk attempt to acquire obesity startup Metsera
STAT+: FTC raises concern about Novo Nordisk attempt to acquire obesity startup Metsera The Federal Trade Commission has raised concerns about Novo Nordisk’s attempt to outbid Pfizer to acquire obesity startup Metsera, the latest complication in a dramatic bidding war between two pharma giants. Companies normally have to seek FTC review for acquisitions under a…
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STAT+: Pfizer’s view on the Metsera bidding war
STAT+: Pfizer’s view on the Metsera bidding war 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. We’re hosting a virtual event tomorrow about the rise and unraveling of Moderna. My colleagues Jason Mast and Damian Garde will be there to talk about…
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STAT+: Pharmalittle: We’re reading about a Trump deal with Lilly and Novo, fewer U.S. generic drug plants, and more
STAT+: Pharmalittle: We’re reading about a Trump deal with Lilly and Novo, fewer U.S. generic drug plants, and more Good morning, everyone, and welcome to the middle of the week. Congratulations on making it this far, and remember there are only a few more days until the weekend arrives. So keep plugging away. After all,…
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The long-term risks of spinal injuries
The long-term risks of spinal injuries Get your daily dose of health and medicine every weekday with STAT’s free newsletter Morning Rounds. Sign up here. Did you know: Yesterday was STAT’s official 10-year anniversary! The site was launched on Nov. 4, 2015. Stories from that first day include: A man who was infected with tapeworm cancer;…
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Former Australian Rugby Star Arrested Over Alleged Crypto Theft
Former Australian Rugby Star Arrested Over Alleged Crypto Theft Police have raided the former NRL star’s home, seizing devices for forensic examination in connection to an alleged $91,000 crypto theft. Vismaya V Go to decrypt.co
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Crypto, Stocks Fall as Traders Pivot: How Low Can Bitcoin Go?
Crypto, Stocks Fall as Traders Pivot: How Low Can Bitcoin Go? Analysts identify key Bitcoin support levels from $98,000 to $85,000 after a 21% market drop driven by dollar strength and tight liquidity. Akash Girimath Go to decrypt.co
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Mamdani Wins NYC Mayor’s Race: Here’s What the Crypto Predictions Markets Foretold
Mamdani Wins NYC Mayor’s Race: Here’s What the Crypto Predictions Markets Foretold With just over half the votes, Mamdani becomes NYC’s next mayor after prediction markets and progressive groups rallied behind his campaign Vince Dioquino Go to decrypt.co
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Gemini Moves Toward Prediction Markets in Bid to Broaden Its Business: Report
Gemini Moves Toward Prediction Markets in Bid to Broaden Its Business: Report The firm’s filing seeks approval to operate “Gemini Titan,” a designated contract market offering federally regulated event contracts. Vince Dioquino Go to decrypt.co
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Inside the Deposition That Showed How OpenAI Nearly Destroyed Itself
Inside the Deposition That Showed How OpenAI Nearly Destroyed Itself A 10-hour sworn testimony from OpenAI co-founder Ilya Sutskever paints a picture of panic, unverified allegations, and governance failures. Jose Antonio Lanz Go to decrypt.co
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Data-driven Learning of Interaction Laws in Multispecies Particle Systems with Gaussian Processes: Convergence Theory and Applications
Data-driven Learning of Interaction Laws in Multispecies Particle Systems with Gaussian Processes: Convergence Theory and Applications arXiv:2511.02053v1 Announce Type: new Abstract: We develop a Gaussian process framework for learning interaction kernels in multi-species interacting particle systems from trajectory data. Such systems provide a canonical setting for multiscale modeling, where simple microscopic interaction rules generate complex…
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DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction
DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction arXiv:2511.02137v1 Announce Type: new Abstract: Time-series forecasting increasingly demands not only accurate observational predictions but also causal forecasting under interventional and counterfactual queries in multivariate systems. We present DoFlow, a flow based generative model defined over a causal DAG that delivers coherent observational and interventional…
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Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks arXiv:2511.02258v1 Announce Type: new Abstract: This paper studies the high-dimensional scaling limits of online stochastic gradient descent (SGD) for single-layer networks. Building on the seminal work of Saad and Solla, which analyzed the deterministic (ballistic) scaling limits of SGD corresponding to the gradient flow of…
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A new class of Markov random fields enabling lightweight sampling
A new class of Markov random fields enabling lightweight sampling arXiv:2511.02373v1 Announce Type: new Abstract: This work addresses the problem of efficient sampling of Markov random fields (MRF). The sampling of Potts or Ising MRF is most often based on Gibbs sampling, and is thus computationally expensive. We consider in this work how to circumvent…
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An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity arXiv:2511.02452v1 Announce Type: new Abstract: Concept drift and label scarcity are two critical challenges limiting the robustness of predictive models in dynamic industrial environments. Existing drift detection methods often assume global shifts and rely on dense supervision, making them ill-suited for regression tasks…
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NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis Build a high-performance sensor data pipeline from scratch and unlock the true speed of Python’s scientific computing core The post NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis appeared first on Towards Data Science. Ibrahim Salami Go to original source
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What Building My First Dashboard Taught Me About Data Storytelling
What Building My First Dashboard Taught Me About Data Storytelling Why clarity beats complexity when turning data into stories people actually understand The post What Building My First Dashboard Taught Me About Data Storytelling appeared first on Towards Data Science. Benjamin Nweke Go to original source
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later Here’s why it happens — and how to fix it The post What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later appeared first on Towards Data Science. Javier Marin Go to original source
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Train a Humanoid Robot with AI and Python
Train a Humanoid Robot with AI and Python 3D simulations and Reinforcement Learning with MuJoCo and Gym The post Train a Humanoid Robot with AI and Python appeared first on Towards Data Science. Mauro Di Pietro Go to original source
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At TechEd, SAP continues to lay down the AI data foundation
At TechEd, SAP continues to lay down the AI data foundation New tools to speed up agentic AI development, open SAP platforms and provide access to data products were also touted as helping companies get business value from their AI. Go to techtarget
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Snowflake delivers slew of AI tools, introduces new ones
Snowflake delivers slew of AI tools, introduces new ones The newly released tools simplify access to enterprise data and enable deeper analysis through natural language to address challenges in AI development and data utilization. Go to techtarget
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Snowflake Bolsters the Enterprise Lakehouse with Variety of Updates
Snowflake Bolsters the Enterprise Lakehouse with Variety of Updates Snowflake, the AI Data Cloud company, is launching innovations that make it easier for organizations to ingest, access, and govern their data across the entire data lifecycle, redefining the enterprise lakehouse for the AI era. Go to dbta
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Altair RapidMiner Expands the Agentic AI and Analytics Ecosystem
Altair RapidMiner Expands the Agentic AI and Analytics Ecosystem Altair, a global leader in computational intelligence, is launching major updates across Altair RapidMiner, its data analytics and AI platform, to help organizations operationalize intelligence. Go to dbta
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Fast, accurate drag predictions could help improve aircraft design
Fast, accurate drag predictions could help improve aircraft design Researchers at the University of Surrey have proposed a computational approach that can provide aerodynamic drag data more efficiently during the early stages of aircraft design. It is hoped that AeroMap could help develop safer and more fuel-efficient aircraft. Go to techxplore
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Lay intuition as effective at jailbreaking AI chatbots as technical methods, research suggests
Lay intuition as effective at jailbreaking AI chatbots as technical methods, research suggests It doesn’t take technical expertise to work around the built-in guardrails of artificial intelligence (AI) chatbots like ChatGPT and Gemini, which are intended to ensure that the chatbots operate within a set of legal and ethical boundaries and do not discriminate against…
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Student draws on experience to transform assistive communication
Student draws on experience to transform assistive communication At 15, when a neurological condition took Tobias Weinberg’s ability to speak, aspects of his personality became more difficult to express. Go to techxplore
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RiverMamba: New AI architecture improves flood forecasting
RiverMamba: New AI architecture improves flood forecasting Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and Artificial Intelligence have developed RiverMamba, a new AI model that can predict river discharges…
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Newly developed knitting machine makes solid 3D objects
Newly developed knitting machine makes solid 3D objects A new prototype of a knitting machine creates solid, knitted shapes, adding stitches in any direction—forward, backward and diagonal—so users can construct a wide variety of shapes and add stiffness to different parts of the object. Go to techxplore
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Cloudian teams with NVIDIA to enable sovereign AI
Cloudian teams with NVIDIA to enable sovereign AI Object storage platform company Cloudian has announced a new integration with NVIDIA aimed at helping organisations in Australia and elsewhere deploy full-stack sovereign AI solutions within their national borders. The Cloudian HyperScale AI Data Platform integrates NVIDIA computing, networking and AI enterprise software capabilities with Cloudian’s S3-compatible,…
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The roadblocks to success in enterprise application strategies
The roadblocks to success in enterprise application strategies Enterprise applications are essential to today’s organisations, powering operational efficiency, enabling smarter business decisions and reducing technical debt. Yet, many strategies still struggle to deliver tangible business value. According to Gartner, only 53% of business cases for new enterprise application projects are currently being approved, reflecting growing…
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STAT+: Arena BioWorks, an ambitious biomedical institute backed by billionaires, abruptly shuts down
STAT+: Arena BioWorks, an ambitious biomedical institute backed by billionaires, abruptly shuts down Arena BioWorks, the buzzy research institute that launched nearly two years ago with $500 million to support a decade of scientific R&D, is abruptly shutting down, the institute confirmed to STAT. Approximately 50 staff members, including co-founder Stuart Schreiber and CEO Harvey…
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STAT+: Children’s hospital lobby shifts strategy amid MAHA’s rise in Washington
STAT+: Children’s hospital lobby shifts strategy amid MAHA’s rise in Washington WASHINGTON — As long-revered health institutions come under new scrutiny in President Trump’s Washington, one powerful group is shifting its strategy. The Children’s Hospital Association, which represents more than 200 hospitals and spends millions on lobbying each year, announced Tuesday a new messaging approach…
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STAT+: Trump administration nears deals for cheaper weight loss drugs with Novo Nordisk, Eli Lilly
STAT+: Trump administration nears deals for cheaper weight loss drugs with Novo Nordisk, Eli Lilly WASHINGTON — The Trump administration is nearing deals with Eli Lilly and Novo Nordisk to lower the prices of their weight loss drugs and expand access to them, people familiar with the talks told STAT. The companies have been close to…
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STAT+: Scandal and controversy take toll on FDA credibility
STAT+: Scandal and controversy take toll on FDA credibility 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. We’ve got another busy week of earnings — Pfizer reported this morning and Novo Nordisk will be reporting tomorrow. We’ll be watching for any…
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US Prosecutors Seek Maximum Sentence for Samourai Wallet Developers
US Prosecutors Seek Maximum Sentence for Samourai Wallet Developers Prosecutors allege the developers weren’t “mere bystanders,” but were instead actively soliciting criminals, while earning millions. Vismaya V Go to decrypt.co
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FTSE Russell Takes First Step Toward On-Chain Benchmark Data With Chainlink
FTSE Russell Takes First Step Toward On-Chain Benchmark Data With Chainlink The collab brings FTSE Russell’s benchmark indices to blockchain for the first time, linking regulated market data with on-chain finance. Vince Dioquino Go to decrypt.co
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Bitcoin Price Outlook: What’s Next After Red October?
Bitcoin Price Outlook: What’s Next After Red October? Bitcoin’s “Red October” is a healthy correction that could fuel a bullish November, targeting up to $150K by year-end, Decrypt was told. Akash Girimath Go to decrypt.co
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Physics vs. Code: Why Google’s ‘Quantum Money’ Could Make Blockchain Obsolete
Physics vs. Code: Why Google’s ‘Quantum Money’ Could Make Blockchain Obsolete Google Quantum AI’s new research revisits a 1960s idea for unforgeable “quantum money,” exploring how physics, not code, could secure finance. Jason Nelson Go to decrypt.co
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Hollywood.com Reveals Crypto-Powered Prediction Market for Movies, TV and More
Hollywood.com Reveals Crypto-Powered Prediction Market for Movies, TV and More Fresh off its Trump Media deal for Truth Predict, Crypto.com reveals plans for entertainment prediction markets via Hollywood.com. Andrew Hayward Go to decrypt.co
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Gradient Boosted Mixed Models: Flexible Joint Estimation of Mean and Variance Components for Clustered Data
Gradient Boosted Mixed Models: Flexible Joint Estimation of Mean and Variance Components for Clustered Data arXiv:2511.00217v1 Announce Type: new Abstract: Linear mixed models are widely used for clustered data, but their reliance on parametric forms limits flexibility in complex and high-dimensional settings. In contrast, gradient boosting methods achieve high predictive accuracy through nonparametric estimation, but…
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A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications
A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications arXiv:2511.00366v1 Announce Type: new Abstract: Digital twins are developed to model the behavior of a specific physical asset (or twin), and they can consist of high-fidelity physics-based models or surrogates. A highly accurate surrogate is often preferred over multi-physics models as…
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Accuracy estimation of neural networks by extreme value theory
Accuracy estimation of neural networks by extreme value theory arXiv:2511.00490v1 Announce Type: new Abstract: Neural networks are able to approximate any continuous function on a compact set. However, it is not obvious how to quantify the error of the neural network, i.e., the remaining bias between the function and the neural network. Here, we propose…
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SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations
SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations arXiv:2511.00685v1 Announce Type: new Abstract: The field of simulation optimization (SO) encompasses various methods developed to optimize complex, expensive-to-sample stochastic systems. Established methods include, but are not limited to, ranking-and-selection for finite alternatives and surrogate-based methods for continuous domains, with broad applications in engineering and…
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Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection
Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection arXiv:2511.00849v1 Announce Type: new Abstract: Out-of-distribution (OOD) detection is essential for deploying deep learning models in open-world environments. Existing approaches, such as energy-based scoring and gradient-projection methods, typically rely on high-dimensional representations to separate in-distribution (ID) and OOD samples. We introduce P-OCS (Perturbations in the…
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It Doesn’t Need to Be a Chatbot
It Doesn’t Need to Be a Chatbot A more organic, incremental approach to integrating AI into existing products The post It Doesn’t Need to Be a Chatbot appeared first on Towards Data Science. Dr. Janna Lipenkova Go to original source
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How to Apply Vision Language Models to Long Documents
How to Apply Vision Language Models to Long Documents Learn how to apply powerful VLMs for long context document understanding tasks The post How to Apply Vision Language Models to Long Documents appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Does AI Need to Be Conscious to Care?
Does AI Need to Be Conscious to Care? Towards new forms of artificial moral agency The post Does AI Need to Be Conscious to Care? appeared first on Towards Data Science. Javier Marin Go to original source
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources Why do few chatbots return figures from source documents in their responses? The post Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources appeared first on Towards Data Science. Partha Sarkar Go to original source
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Experiment boldly, measure closely: A CIO’s GenAI playbook
Experiment boldly, measure closely: A CIO’s GenAI playbook Samsara CIO Stephen Franchetti shares how a venture capital-like mindset and AI champion network have helped his organization scale internal GenAI projects. Go to techtarget
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New Databricks tools target successful agentic AI development
New Databricks tools target successful agentic AI development With enterprises struggling to build agents, new Agent Bricks features address accuracy and governance to help move development projects from pilot to production. Go to techtarget
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Informatica Showcases Fall 2025 Release with AI Innovations Brought to the Intelligent Data Management Cloud
Informatica Showcases Fall 2025 Release with AI Innovations Brought to the Intelligent Data Management Cloud Informatica, a leader in enterprise AI-powered cloud data management, is offering its Fall 2025 release, introducing new innovations that connect enterprise data to the next generation of AI agents. According to the company, these new capabilities for the company’s Intelligent…
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Searchlight Cyber Acquires Intangic to Strengthen External Cyber Risk Management Capabilities
Searchlight Cyber Acquires Intangic to Strengthen External Cyber Risk Management Capabilities Searchlight Cyber is acquiring the cyber risk management company Intangic, enhancing Searchlight’s ability to help organizations measure, monitor, and mitigate cyber risk across their external environments and further broadening its unified platform for external threat visibility. Go to dbta