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Red Canary Enhances its Security Data Lake to Enable Security Teams to Meet Compliance and Audit Requirements
Red Canary Enhances its Security Data Lake to Enable Security Teams to Meet Compliance and Audit Requirements Red Canary, a leader in managed detection and response (MDR), is adding new capabilities to Red Canary Security Data Lake, a service that enables IT and security teams to efficiently store, search, and access large volumes of infrequently…
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Precisely Launches Network of Data Providers with Data Link
Precisely Launches Network of Data Providers with Data Link Precisely, a global leader in data integrity, is introducing Data Link, a partner program designed to streamline the integration of the Precisely data portfolio with data from trusted providers via pre-linked datasets. Go to dbta
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HarperDB?s Rebrand Reflects its Commitment to Delivering a Full-Stack Application Delivery Platform
HarperDB?s Rebrand Reflects its Commitment to Delivering a Full-Stack Application Delivery Platform HarperDB, the Distributed Systems Platform provider, is announcing its recent rebrand to Harper, reflecting its movement beyond just a performance-focused database vendor. Evolving as a full-stack application delivery platform offering speed and scale for data-intensive workloads, Harper touts a new brand identity that…
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Updates to Qdrant Cloud Boost Automation, Security, and Observability
Updates to Qdrant Cloud Boost Automation, Security, and Observability Qdrant, the high-performance, open source vector database, is unveiling new capabilities for Qdrant Cloud that address various operational bottlenecks associated with powering large-scale AI deployments. Go to dbta
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Cadillac win final approval for F1 place in 2026
Cadillac win final approval for F1 place in 2026 Cadillac have received final approval to become the 11th team in Formula One from the 2026 season, motorsport’s governing body the FIA and F1 announced on Friday. Go to techxplore
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Security veins: Advanced biometric authentication through AI and infrared
Security veins: Advanced biometric authentication through AI and infrared Hyperspectral imaging is a technology that detects slight differences in color to pinpoint the characteristics and conditions of an object. While a normal camera creates images using red, green, and blue, a hyperspectral camera can obtain over 100 images in the visible to near-infrared light range…
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Silk-inspired in situ web spinning for situated robots
Silk-inspired in situ web spinning for situated robots Researchers at the Institute of Technology, University of Tartu, present a robotics concept in which temporary robot embodiments and movement pathways are spun in situ from a polymer solution. They demonstrate an ad hoc gripper for delicate handling and a bridge for crossing debris fields and natural…
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AI reveals new way to strengthen titanium alloys and speed up manufacturing
AI reveals new way to strengthen titanium alloys and speed up manufacturing Producing high-performance titanium alloy parts—whether for spacecraft, submarines or medical devices—has long been a slow, resource-intensive process. Even with advanced metal 3D-printing techniques, finding the right manufacturing conditions has required extensive testing and fine-tuning. Go to techxplore
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Scientists introduce c-MOFs in emerging SrZrS₃ chalcogenide perovskites for efficient solar cells
Scientists introduce c-MOFs in emerging SrZrS₃ chalcogenide perovskites for efficient solar cells A study led by Dr. Latha Marasamy, a research professor at the Autonomous University of Querétaro, Mexico, is setting the stage for advancements in solar energy technology. The research team has made a significant breakthrough by exploring the capabilities of SrZrS3 absorbers in…
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Human error damaging productivity for Aussie IT teams
Human error damaging productivity for Aussie IT teams Nearly half (43%) of Australian IT teams are spending between 1.6 and 2.9 days per month fixing human errors, according to a new report from endpoint management company Tanium. A survey of IT professionals conducted for the company by PureProfile found that 17% of IT workers are…
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How businesses can prepare for the age of agentic AI
How businesses can prepare for the age of agentic AI Artificial intelligence has had a transformative impact on the way we do business — and it’s only accelerating. As organisations adapt to AI-driven efficiencies, a new evolution is emerging to redefine business operations, possibly more than future generations of foundational models: agentic AI. Unlike earlier…
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FBI Puts $10M Bounty on Ex-Olympian Who Allegedly Laundered Drug Money With Tether
FBI Puts $10M Bounty on Ex-Olympian Who Allegedly Laundered Drug Money With Tether If convicted, former Olympian Ryan Wedding faces life in prison for allegedly running a transnational drug syndicate that leveraged USDT. Vismaya V Go to decrypt.co
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Here’s a Look at One Contributor’s Proposal to Overhaul Jito’s Tokenomics
Here’s a Look at One Contributor’s Proposal to Overhaul Jito’s Tokenomics The idea proposes structured decision-making framework that balances “recycling” and “rewards,” shifting beyond passive accumulation. Vince Dioquino Go to decrypt.co
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Bitcoin Price Slides as Crypto Market Reacts to Trump’s Strategic Reserve Order
Bitcoin Price Slides as Crypto Market Reacts to Trump’s Strategic Reserve Order Bitcoin fell 5.7% to just under $85,000 as investors reacted to Trump’s executive order establishing a Strategic Bitcoin Reserve. Sebastian Sinclair Go to decrypt.co
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President Trump Signs Executive Order to Establish Bitcoin Reserve, Crypto Stockpile
President Trump Signs Executive Order to Establish Bitcoin Reserve, Crypto Stockpile The order also seeks to provide a “full audit” of the U.S. Goverment’s digital asset holdings which is estimated to possess 200,000 bitcoin. Sebastian Sinclair,Jason Nelson Go to decrypt.co
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‘Axie Infinity: Atia’s Legacy’ MMO Game Coming to Ethereum Network Ronin
‘Axie Infinity: Atia’s Legacy’ MMO Game Coming to Ethereum Network Ronin The makers of Ethereum play-to-earn game Axie Infinity revealed a new MMO title called Atia’s Legacy, entering alpha testing this summer. Ryan Gladwin Go to decrypt.co
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Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization arXiv:2503.04047v1 Announce Type: new Abstract: Recently, gradient-based discrete sampling has emerged as a highly efficient, general-purpose solver for various combinatorial optimization (CO) problems, achieving performance comparable to or surpassing the popular data-driven approaches. However, we identify a critical issue in these methods, which we term ”wandering in contours”.…
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Conformal Prediction with Upper and Lower Bound Models
Conformal Prediction with Upper and Lower Bound Models arXiv:2503.04071v1 Announce Type: new Abstract: This paper studies a Conformal Prediction (CP) methodology for building prediction intervals in a regression setting, given only deterministic lower and upper bounds on the target variable. It proposes a new CP mechanism (CPUL) that goes beyond post-processing by adopting a model…
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Generalization in Federated Learning: A Conditional Mutual Information Framework
Generalization in Federated Learning: A Conditional Mutual Information Framework arXiv:2503.04091v1 Announce Type: new Abstract: Federated Learning (FL) is a widely adopted privacy-preserving distributed learning framework, yet its generalization performance remains less explored compared to centralized learning. In FL, the generalization error consists of two components: the out-of-sample gap, which measures the gap between the empirical…
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Learning Causal Response Representations through Direct Effect Analysis
Learning Causal Response Representations through Direct Effect Analysis arXiv:2503.04358v1 Announce Type: new Abstract: We propose a novel approach for learning causal response representations. Our method aims to extract directions in which a multidimensional outcome is most directly caused by a treatment variable. By bridging conditional independence testing with causal representation learning, we formulate an optimisation…
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How to Spot and Prevent Model Drift Before it Impacts Your Business
How to Spot and Prevent Model Drift Before it Impacts Your Business Despite the AI hype, many tech companies still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection. I’ve seen firsthand how undetected drifts can result in significant costs — missed fraud detection, lost revenue, and suboptimal business…
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SAP BDC strives to be an AI catalyst, but clarity is needed
SAP BDC strives to be an AI catalyst, but clarity is needed Go to techtarget
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What is data cleansing (data cleaning, data scrubbing)?
What is data cleansing (data cleaning, data scrubbing)? Go to techtarget
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16 top ERM software vendors to consider in 2025
16 top ERM software vendors to consider in 2025 Go to techtarget
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Defining and Cultivating an ?AI-Ready? Enterprise with Informatica and Databricks
Defining and Cultivating an ?AI-Ready? Enterprise with Informatica and Databricks Rik Tamm-Daniels, GVP of ecosystems and technology, Informatica, and Manish Dalwadi, director of product management, Databricks, joined DBTA’s webinar, Build a GenAI-Ready Enterprise with Informatica & Databricks, offering their guidance on strategies and tools for preparing data infrastructures for enterprise-grade AI. Go to dbta
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CloudCasa by Catalogic Offers Integration with SUSE Rancher Prime Extension
CloudCasa by Catalogic Offers Integration with SUSE Rancher Prime Extension CloudCasa by Catalogic, a leader in Kubernetes backup and disaster recovery, is providing an integration with SUSE Rancher Prime via a new Rancher Prime Extension, delivering stress-free infrastructure to securely deploy, run, and manage modern workloads anywhere. Go to dbta
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Cyera Celebrates Milestone as One of the Fastest-Growing Data Security Companies, Aims to Define the Future of Data Security
Cyera Celebrates Milestone as One of the Fastest-Growing Data Security Companies, Aims to Define the Future of Data Security Cyera, a global leader in data security, announced it set a world record as the fastest-growing company in the industry’s history?with nearly $800 million raised. Go to dbta
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New method significantly reduces AI energy consumption
New method significantly reduces AI energy consumption AI applications such as large language models (LLMs) have become an integral part of our everyday lives. The required computing, storage and transmission capacities are provided by data centers that consume vast amounts of energy. In Germany alone, this amounted to about 16 billion kWh in 2020, or…
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Q&A with science photographer: Visualizing research in the age of AI
Q&A with science photographer: Visualizing research in the age of AI For over 30 years, science photographer Felice Frankel has helped MIT professors, researchers, and students communicate their work visually. Throughout that time, she has seen the development of various tools to support the creation of compelling images: some helpful, and some antithetical to the…
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‘One-pot’ technique creates inorganic and polymer battery electrolytes simultaneously
‘One-pot’ technique creates inorganic and polymer battery electrolytes simultaneously Creating battery electrolytes—the component that carries the charged particles back and forth between a battery’s two terminals—has always been a tradeoff. Go to techxplore
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Rooftop lab: Improving the understanding of optimal orientation and tilt of solar panels in northern climate conditions
Rooftop lab: Improving the understanding of optimal orientation and tilt of solar panels in northern climate conditions The performance of photovoltaic systems (PV) in northern conditions has been measured at the University of Oulu, Finland, with two research infrastructures comprising 40 solar panels, including a unique panel carousel system on the roof of the Linnanmaa…
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Viewpoint: How 18F transformed government technology, and why its elimination matters
Viewpoint: How 18F transformed government technology, and why its elimination matters Healthcare.gov, the government health insurance marketplace website, launched in October 2013 only to buckle under the weight of just 2,000 simultaneous users. As millions of Americans stared at error messages and frozen screens, a political crisis unfolded, but so did a new era of…
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New Hampshire Bitcoin Reserve Bill Passes House Committee in Landslide Vote
New Hampshire Bitcoin Reserve Bill Passes House Committee in Landslide Vote New Hampshire’s Bitcoin reserve bill advances, joining other states like Utah, Texas, and Arizona in exploring crypto for state finances. Vismaya V Go to decrypt.co
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Robinhood Draws Nearly 400K Players in First $1 Million Bitcoin Trivia Game
Robinhood Draws Nearly 400K Players in First $1 Million Bitcoin Trivia Game Just 615 players won a share of the Bitcoin. On Thursday, the live game returns with another $1 million in Bitcoin—plus Dogecoin rewards, too. Andrew Hayward Go to decrypt.co
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Nasdaq-Listed BioNexus Becomes First Public Firm to Approve Ethereum Treasury
Nasdaq-Listed BioNexus Becomes First Public Firm to Approve Ethereum Treasury The tech firm will prioritize Ethereum over Bitcoin as a strategic asset, touting the asset’s potential as a “financial instrument.” Vince Dioquino Go to decrypt.co
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Bitcoin, Ethereum Rally as Markets Weigh Trade Tensions and China’s Stimulus Push
Bitcoin, Ethereum Rally as Markets Weigh Trade Tensions and China’s Stimulus Push Bitcoin extended gains late Wednesday as the Trump administration grants temporary tariff relief and Beijing ramps up economic support. Sebastian Sinclair Go to decrypt.co
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US Authorities Are Releasing Seized Bitcoin Mining Hardware: Reuters
US Authorities Are Releasing Seized Bitcoin Mining Hardware: Reuters Seized crypto mining hardware produced by Chinese manufacturers are being released, even while more devices remain in U.S. custody. Vince Dioquino Go to decrypt.co
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Applications of Entropy in Data Analysis and Machine Learning: A Review
Applications of Entropy in Data Analysis and Machine Learning: A Review arXiv:2503.02921v1 Announce Type: new Abstract: Since its origin in the thermodynamics of the 19th century, the concept of entropy has also permeated other fields of physics and mathematics, such as Classical and Quantum Statistical Mechanics, Information Theory, Probability Theory, Ergodic Theory and the Theory…
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LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery
LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery arXiv:2503.02983v1 Announce Type: new Abstract: Discovering physical laws from data is a fundamental challenge in scientific research, particularly when high-quality data are scarce or costly to obtain. Traditional methods for identifying dynamical systems often struggle with noise sensitivity, inefficiency in data usage, and the inability to quantify…
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PAC Learning with Improvements
PAC Learning with Improvements arXiv:2503.03184v1 Announce Type: new Abstract: One of the most basic lower bounds in machine learning is that in nearly any nontrivial setting, it takes $textit{at least}$ $1/epsilon$ samples to learn to error $epsilon$ (and more, if the classifier being learned is complex). However, suppose that data points are agents who have…
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Convergence Rates for Softmax Gating Mixture of Experts
Convergence Rates for Softmax Gating Mixture of Experts arXiv:2503.03213v1 Announce Type: new Abstract: Mixture of experts (MoE) has recently emerged as an effective framework to advance the efficiency and scalability of machine learning models by softly dividing complex tasks among multiple specialized sub-models termed experts. Central to the success of MoE is an adaptive softmax…
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Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations
Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations arXiv:2503.03283v1 Announce Type: new Abstract: Drawing parallels with the way biological networks are studied, we adapt the treatment–control paradigm to explainable artificial intelligence research and enrich it through multi-parametric input alterations. In this study, we propose a framework for investigating…
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One-Tailed Vs. Two-Tailed Tests
One-Tailed Vs. Two-Tailed Tests Introduction If you’ve ever analyzed data using built-in t-test functions, such as those in R or SciPy, here’s a question for you: have you ever adjusted the default setting for the alternative hypothesis? If your answer is no—or if you’re not even sure what this means—then this blog post is for…
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Kubernetes — Understanding and Utilizing Probes Effectively
Kubernetes — Understanding and Utilizing Probes Effectively Introduction Let’s talk about Kubernetes probes and why they matter in your deployments. When managing production-facing containerized applications, even small optimizations can have enormous benefits. Aiming to reduce deployment times, making your applications better react to scaling events, and managing the running pods healthiness requires fine-tuning your container…
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Overcome Failing Document Ingestion & RAG Strategies with Agentic Knowledge Distillation
Overcome Failing Document Ingestion & RAG Strategies with Agentic Knowledge Distillation Introduction Many generative AI use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall short of user expectations. Despite the growing body of research on RAG improvements and even adding Agents into the process, many solutions still fail to return exhaustive results,…
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Generative AI Is Declarative
Generative AI Is Declarative ChatGPT launched in 2022 and kicked off the Generative Ai boom. In the two years since, academics, technologists, and armchair experts have written libraries worth of articles on the technical underpinnings of generative AI and about the potential capabilities of both current and future generative AI models. Surprisingly little has been…
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How to choose the right document management system
How to choose the right document management system Go to techtarget
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Solving specific problems driving enterprise adoption of AI
Solving specific problems driving enterprise adoption of AI Go to techtarget
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Weaviate Introduces Weaviate Agents for AI Development, a Bundle of Services for Building and Deploying AI and Agentic Applications
Weaviate Introduces Weaviate Agents for AI Development, a Bundle of Services for Building and Deploying AI and Agentic Applications Vector database developer Weaviate is adding a crucial piece to its AI development stack?Weaviate Agents, a new set of services for building the next generation of AI and agentic applications. Go to dbta
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TigerGraph Provides Comprehensive Solution with the Addition of Hybrid Search to its Graph Database
TigerGraph Provides Comprehensive Solution with the Addition of Hybrid Search to its Graph Database TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry’s “most advanced” solution for detecting data anomalies through sophisticated pattern analysis, identifying critical deviations from expected norms, and providing…
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vFunction Joins AWS? ISV Workload Migration Program, Powering Cost-Efficient, Transparent Cloud Migrations
vFunction Joins AWS? ISV Workload Migration Program, Powering Cost-Efficient, Transparent Cloud Migrations vFunction, the pioneer of AI-driven architectural observability (AO), is announcing that it has been selected as a member of the AWS Independent Service Vendor (ISV) Workload Migration Program (WMP), a program that helps Software Partners accelerate workload migrations to SaaS. Go to dbta
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Oracle Assists Health Systems Manage Emergency Situations
Oracle Assists Health Systems Manage Emergency Situations Oracle is introducing new capabilities to its Oracle’s health system operations suite, including Oracle Health Patient Flow, Oracle Health Clinical Operations Whiteboard, Oracle Health Transfer Center, and Oracle Health Command Center Dashboard, empowering health systems to act quickly and effectively in emergency situations. Go to dbta
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New Database Security Enhancements in Oracle 23ai
New Database Security Enhancements in Oracle 23ai Database security is crucial to protect the integrity, confidentiality, and availability of data. It builds customer trust, helps comply with regulations, and reduces the risks associated with cyberattacks or unauthorized access. Security has always been a top priority for Oracle. Oracle 23ai has introduced several advanced security features…
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The Texas hydrogen industry needs water: New study provides details on how much
The Texas hydrogen industry needs water: New study provides details on how much There are many ways to make hydrogen—a carbon-free energy source and petrochemical ingredient. But no matter the method, all hydrogen production requires a lot of water. Go to techxplore
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Feeling is believing: Bionic hand ‘knows’ what it’s touching, grasps like a human
Feeling is believing: Bionic hand ‘knows’ what it’s touching, grasps like a human Johns Hopkins University engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds. Go to techxplore
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Amazon Prime Video tests AI-assisted dubbing
Amazon Prime Video tests AI-assisted dubbing Amazon’s Prime Video streaming service announced Wednesday it will begin testing AI-assisted dubbing to make its international content more accessible to viewers worldwide. Go to techxplore
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Preventing hydrogen vehicle accidents in advance: Equipment monitors hydrogen fuel quality in real-time
Preventing hydrogen vehicle accidents in advance: Equipment monitors hydrogen fuel quality in real-time The Korea Research Institute of Standards and Science has developed equipment that monitors the quality of hydrogen fuel supplied to vehicles through hydrogen refueling stations in real-time. This equipment is expected to prevent hydrogen vehicle accidents caused by impurities in the hydrogen…
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Why more water is not always better in ion-conducting membranes: New insights for clean energy technology
Why more water is not always better in ion-conducting membranes: New insights for clean energy technology Researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) and at the Tandon School of Engineering of New York University have made a breakthrough in understanding how water transports charged ions across a critical component…
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Driving DEI and data innovation one step at a time
Driving DEI and data innovation one step at a time As we celebrate International Women’s Day, I’m reflecting on the transformative journey our team is on and the important role that all of us need to play in driving meaningful change and accelerating progress. Both personally and professionally, I’ve learned firsthand how both commitment and…
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Former Girlfriend of LA ‘Godfather’ Agrees to Plead Guilty Over $2.6M Tax Fraud
Former Girlfriend of LA ‘Godfather’ Agrees to Plead Guilty Over $2.6M Tax Fraud Au pleaded guilty to tax fraud for helping her ex-boyfriend launder illicit funds and faces up to 3 years in prison for her role. Vismaya V Go to decrypt.co
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Bukele Dismisses IMF Terms, Vows El Salvador’s Bitcoin Strategy ‘Won’t Stop’
Bukele Dismisses IMF Terms, Vows El Salvador’s Bitcoin Strategy ‘Won’t Stop’ El Salvador has compliance reviews slated in June and September, with new rules to follow. If it fails, the country risks its loan package. Vince Dioquino Go to decrypt.co
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How Developers Are Solving AI’s Financial Limitations with Blockchain
How Developers Are Solving AI’s Financial Limitations with Blockchain Developers are integrating AI with blockchain, allowing autonomous humanoid robots to manage digital assets. Jason Nelson Go to decrypt.co
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Trump’s Crypto Summit: What Is It, Who’s Going, and Why the ‘Crypto Council’ Fell Apart
Trump’s Crypto Summit: What Is It, Who’s Going, and Why the ‘Crypto Council’ Fell Apart Everything you need to know about the White House crypto summit on Friday and how we got here. Sander Lutz Go to decrypt.co
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Trump’s Crypto Picks Face Reality: XRP, ADA Hold Gains as Majors Slide
Trump’s Crypto Picks Face Reality: XRP, ADA Hold Gains as Majors Slide XRP and Cardano have climbed 375% and 163% since election day, while Ethereum and Solana have fallen over this timespan and bitcoin has relinquished some of its earlier gains. André Beganski Go to decrypt.co
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Mathematical Foundation of Interpretable Equivariant Surrogate Models
Mathematical Foundation of Interpretable Equivariant Surrogate Models arXiv:2503.01942v1 Announce Type: new Abstract: This paper introduces a rigorous mathematical framework for neural network explainability, and more broadly for the explainability of equivariant operators called Group Equivariant Operators (GEOs) based on Group Equivariant Non-Expansive Operators (GENEOs) transformations. The central concept involves quantifying the distance between GEOs by…
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Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification
Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification arXiv:2503.02110v1 Announce Type: new Abstract: We provide a complete characterization of the entire regularization curve of a modified two-part-code Minimum Description Length (MDL) learning rule for binary classification, based on an arbitrary prior or description language. citet{GL} previously established the lack of asymptotic…
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Gradient-free stochastic optimization for additive models
Gradient-free stochastic optimization for additive models arXiv:2503.02131v1 Announce Type: new Abstract: We address the problem of zero-order optimization from noisy observations for an objective function satisfying the Polyak-{L}ojasiewicz or the strong convexity condition. Additionally, we assume that the objective function has an additive structure and satisfies a higher-order smoothness property, characterized by the H”older family…
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Online Inference for Quantiles by Constant Learning-Rate Stochastic Gradient Descent
Online Inference for Quantiles by Constant Learning-Rate Stochastic Gradient Descent arXiv:2503.02178v1 Announce Type: new Abstract: This paper proposes an online inference method of the stochastic gradient descent (SGD) with a constant learning rate for quantile loss functions with theoretical guarantees. Since the quantile loss function is neither smooth nor strongly convex, we view such SGD…
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Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation via Dynamic Cluster Agreements
Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation via Dynamic Cluster Agreements arXiv:2503.02437v1 Announce Type: new Abstract: This paper addresses the challenge of allocating heterogeneous resources among multiple agents in a decentralized manner. Our proposed method, LGTC-IPPO, builds upon Independent Proximal Policy Optimization (IPPO) by integrating dynamic cluster consensus, a mechanism that allows agents to form…
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Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review
Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review “Conduct a comprehensive literature review on the state-of-the-art in Machine Learning and energy consumption. […]” With this prompt, I tested the new Deep Research function, which has been integrated into the OpenAI o3 reasoning model since the end of February — and conducted a state-of-the-art literature…
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Practical SQL Puzzles That Will Level Up Your Skill
Practical SQL Puzzles That Will Level Up Your Skill There are some Sql patterns that, once you know them, you start seeing them everywhere. The solutions to the puzzles that I will show you today are actually very simple SQL queries, but understanding the concept behind them will surely unlock new solutions to the queries…
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Mastering 1:1s as a Data Scientist: From Status Updates to Career Growth
Mastering 1:1s as a Data Scientist: From Status Updates to Career Growth I have been a data team manager for six months, and my team has grown from three to five. I wrote about my initial manager experiences back in November. In this article, I want to talk about something that is more essential to…
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The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI
The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI Advancements in agentic artificial intelligence (AI) promise to bring significant opportunities to individuals and businesses in all sectors. However, as AI agents become more autonomous, they may use scheming behavior or break rules to achieve their functional goals. This can lead to the machine…
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What is a smart city?
What is a smart city? Go to techtarget
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7 data storytelling examples: How to turn data into stories
7 data storytelling examples: How to turn data into stories Go to techtarget
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Qdrant update adds security measures for AI development
Qdrant update adds security measures for AI development Go to techtarget
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AI engineer vs. data scientist: What’s the difference?
AI engineer vs. data scientist: What’s the difference? Go to techtarget
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Actian Boosts its Data Intelligence Platform with Accelerated Data Discovery, Self-Service Access, and More
Actian Boosts its Data Intelligence Platform with Accelerated Data Discovery, Self-Service Access, and More Actian, the data division of HCLSoftware, is enhancing the Actian Data Intelligence Platform, formerly known as the Zeenea Data Discovery Platform, to automate data discovery and support governed data usage. Go to dbta
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Rubrik and Pure Storage Collaborate to Create a New Solution That Will Manage and Secure Unstructured Data
Rubrik and Pure Storage Collaborate to Create a New Solution That Will Manage and Secure Unstructured Data Rubrik and Pure Storage are partnering to deliver a reference architecture solution that enables organizations to unify, manage, and secure unstructured data at scale. According to the vendors, because of this alliance, organizations of all sizes can experience…
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Couchbase Innovates Affordable, High-Performance Edge Solution for Resource-Constrained Environments
Couchbase Innovates Affordable, High-Performance Edge Solution for Resource-Constrained Environments Couchbase, Inc., the developer data platform for critical applications in our AI world, is unveiling Couchbase Edge Server, an offline-first, lightweight database server and sync solution designed specifically for resource-constrained environments. Go to dbta
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Dynatrace?s AI-Powered Log Analytics Features Support Speed and Scale
Dynatrace?s AI-Powered Log Analytics Features Support Speed and Scale Dynatrace, the leading AI-powered observability platform, is announcing new AI-powered log analytics capabilities that remediate the gap between legacy log management solutions and modern monitoring tools. Go to dbta
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Tesla shares fall on weak China auto sales
Tesla shares fall on weak China auto sales Shares of Tesla tumbled Tuesday following data showing a big drop in auto sales in China, adding to recent losses amid backlash to CEO Elon Musk’s alliance with US President Donald Trump. Go to techxplore
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Chain of Draft approach allows AI models to carry out tasks using far fewer resources
Chain of Draft approach allows AI models to carry out tasks using far fewer resources A small team of AI engineers at Zoom Communications has developed a new approach to training AI systems that uses far fewer resources than the standard approach now in use. The team has published their results on the arXiv preprint…
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New multimodal AI tool supports ecological applications
New multimodal AI tool supports ecological applications Ever seen an image of an animal and wondered, “What is that?” TaxaBind, a new tool developed by computer scientists in the McKelvey School of Engineering at Washington University in St. Louis, can sate that curiosity and more. Go to techxplore
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How the risk of AI weapons could spiral out of control
How the risk of AI weapons could spiral out of control Sometimes AI isn’t as clever as we think it is. Researchers training an algorithm to identify skin cancer thought they had succeeded until they discovered that it was using the presence of a ruler to help it make predictions. Specifically, their data set consisted…
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Study shines headlights on consumer driverless vehicle safety deficiencies
Study shines headlights on consumer driverless vehicle safety deficiencies For the first time, researchers at the University of California, Irvine have demonstrated that multicolored stickers applied to stop or speed limit signs on the roadside can confuse self-driving vehicles, causing unpredictable and possibly hazardous operations. Go to techxplore
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AI Cloud Provider CoreWeave Files for IPO After Breakout Year
AI Cloud Provider CoreWeave Files for IPO After Breakout Year The AI infrastructure provider is eyeing a $35 billion valuation after transforming its crypto mining business six years ago. Vince Dioquino Go to decrypt.co
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Grayscale Pursues Sixth Altcoin ETF as Nasdaq Seeks to List Hedera Fund
Grayscale Pursues Sixth Altcoin ETF as Nasdaq Seeks to List Hedera Fund Approving multiple smaller assets for Grayscale’s ETFs could help pave the way for an index ETF, a source told Decrypt. Vismaya V Go to decrypt.co
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TSMC Pledges $100B for US Chip Plants, Eyes 20,000 New Jobs
TSMC Pledges $100B for US Chip Plants, Eyes 20,000 New Jobs TSMC is doubling its Arizona investments amid geopolitical tensions and the U.S.’s push for semiconductor independence. Vince Dioquino Go to decrypt.co
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SEC’s Crypto Task Force Assembles Mix of Agency Veterans, Industry Experts
SEC’s Crypto Task Force Assembles Mix of Agency Veterans, Industry Experts Though the SEC hasn’t detailed initiatives, the Task Force’s composition signals focus on blending securities law and crypto frameworks. Sebastian Sinclair Go to decrypt.co
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Ethereum NFT Protocol Zora Reveals Token Airdrop Plans
Ethereum NFT Protocol Zora Reveals Token Airdrop Plans Zora, a multi-chain NFT and tokenization protocol, has revealed plans to launch its own token on Ethereum layer-2 Base with an airdrop. Logan Hitchcock Go to decrypt.co
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Approaching the Harm of Gradient Attacks While Only Flipping Labels
Approaching the Harm of Gradient Attacks While Only Flipping Labels arXiv:2503.00140v1 Announce Type: new Abstract: Availability attacks are one of the strongest forms of training-phase attacks in machine learning, making the model unusable. While prior work in distributed ML has demonstrated such effect via gradient attacks and, more recently, data poisoning, we ask: can similar…
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An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation
An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation arXiv:2503.00213v1 Announce Type: new Abstract: Physics-informed machine learning is one of the most commonly used methods for fusing physical knowledge in the form of partial differential equations with experimental data. The idea is to construct a loss function where the physical…
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Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits arXiv:2503.00273v1 Announce Type: new Abstract: We study the evolution of information in interactive decision making through the lens of a stochastic multi-armed bandit problem. Focusing on a fundamental example where a unique optimal arm outperforms the rest by a fixed margin, we…
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Generalization Bounds for Equivariant Networks on Markov Data
Generalization Bounds for Equivariant Networks on Markov Data arXiv:2503.00292v1 Announce Type: new Abstract: Equivariant neural networks play a pivotal role in analyzing datasets with symmetry properties, particularly in complex data structures. However, integrating equivariance with Markov properties presents notable challenges due to the inherent dependencies within such data. Previous research has primarily concentrated on establishing…
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LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention
LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention arXiv:2503.00387v1 Announce Type: new Abstract: Existing contextual multi-armed bandit (MAB) algorithms fail to effectively capture both long-term trends and local patterns across all arms, leading to suboptimal performance in environments with rapidly changing reward structures. They also rely on static exploration rates, which do not dynamically adjust…
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How to Train LLMs to “Think” (o1 & DeepSeek-R1)
How to Train LLMs to “Think” (o1 & DeepSeek-R1) In September 2024, OpenAI released its o1 model, trained on large-scale reinforcement learning, giving it “advanced reasoning” capabilities. Unfortunately, the details of how they pulled this off were never shared publicly. Today, however, DeepSeek (an AI research lab) has replicated this reasoning behavior and published the…
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Generative AI and Civic Institutions
Generative AI and Civic Institutions Different sectors, different goals Recent events have got me thinking about AI as it relates to our civic institutions — think government, education, public libraries, and so on. We often forget that civic and governmental organizations are inherently deeply different from private companies and profit-making enterprises. They exist to enable…
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LLM + RAG: Creating an AI-Powered File Reader Assistant
LLM + RAG: Creating an AI-Powered File Reader Assistant Introduction AI is everywhere. It is hard not to interact at least once a day with a Large Language Model (LLM). The chatbots are here to stay. They’re in your apps, they help you write better, they compose emails, they read emails…well, they do a lot.…