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Conformal Prediction under L’evy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
Conformal Prediction under L’evy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations arXiv:2502.14105v1 Announce Type: new Abstract: Conformal prediction provides a powerful framework for constructing prediction intervals with finite-sample guarantees, yet its robustness under distribution shifts remains a significant challenge. This paper addresses this limitation by modeling distribution shifts using L’evy-Prokhorov (LP) ambiguity sets, which…
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Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs arXiv:2502.14121v1 Announce Type: new Abstract: Designing modern industrial systems requires balancing several competing objectives, such as profitability, resilience, and sustainability, while accounting for complex interactions between technological, economic, and environmental factors. Multi-objective optimization (MOO) methods are commonly used to navigate…
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Prediction-Powered Adaptive Shrinkage Estimation
Prediction-Powered Adaptive Shrinkage Estimation arXiv:2502.14166v1 Announce Type: new Abstract: Prediction-Powered Inference (PPI) is a powerful framework for enhancing statistical estimates by combining limited gold-standard data with machine learning (ML) predictions. While prior work has demonstrated PPI’s benefits for individual statistical tasks, modern applications require answering numerous parallel statistical questions. We introduce Prediction-Powered Adaptive Shrinkage (PAS),…
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Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics
Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics [ The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing Genomics by enabling the high-throughput measurement of gene expression while…
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Reinforcement Learning with PDEs
Reinforcement Learning with PDEs Previously we discussed applying reinforcement learning to Ordinary Differential Equations (ODEs) by integrating ODEs within gymnasium. ODEs are a powerful tool that can describe a wide range of systems but are limited to a single variable. Partial Differential Equations (PDEs) are differential equations involving derivatives of multiple variables that can cover…
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How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API
How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API For a long time, one of the common ways to start new Node.js projects was using boilerplate templates. These templates help developers reuse familiar code structures and implement standard features, such as access to cloud file storage. With the latest developments in LLM,…
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Don’t Let Conda Eat Your Hard Drive
Don’t Let Conda Eat Your Hard Drive If you’re an Anaconda user, you know that conda environments help you manage package dependencies, avoid compatibility conflicts, and share your projects with others. Unfortunately, they can also take over your computer’s hard drive. I write lots of computer tutorials and to keep them organized, each has a dedicated folder…
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AI Agents from Zero to Hero – Part 1
AI Agents from Zero to Hero – Part 1 Intro AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others. Normally, they use a set of tools to help complete tasks. In GenAI applications, these Agents process sequential reasoning and can use external tools (like web searches or database queries) when…
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Cube semantic layer eases data access from Power BI, Excel
Cube semantic layer eases data access from Power BI, Excel Go to techtarget
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Lambda Secures $480M to Expand its AI Cloud Platform
Lambda Secures $480M to Expand its AI Cloud Platform Lambda, the AI Developer Cloud, announced it has raised $480 million in Series D funding, bringing the total equity capital raised to date to $863 million and enabling the company to power the next wave of AI-driven innovation to deliver tangible value across industries. Go to…
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Microsoft Makes Quantum Computing Breakthrough, Promises Game Changing New State of Matter
Microsoft Makes Quantum Computing Breakthrough, Promises Game Changing New State of Matter Microsoft announced its latest breakthrough, Majorana 1, the world’s first quantum chip powered by a new Topological Core architecture. The company expects it will realize quantum computers capable of solving meaningful, industrial-scale problems in years, not decades. Go to dbta
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InfluxData and AWS Bolster Strategic Offering by Delivering Enterprise-Grade Scalability and Reliability to Time Series Workloads on AWS
InfluxData and AWS Bolster Strategic Offering by Delivering Enterprise-Grade Scalability and Reliability to Time Series Workloads on AWS InfluxData, creator of the leading time series platform InfluxDB, is offering Amazon Timestream for InfluxDB Read Replicas, a new capability for improved query performance and high availability for enterprise-scale time series workloads on AWS. Read Replicas are…
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VAST DataStore Becomes Universal, Multiprotocol Storage Platform with Block Storage and Event-Processing
VAST DataStore Becomes Universal, Multiprotocol Storage Platform with Block Storage and Event-Processing VAST Data, the AI data platform company, is announcing two significant advancements for the VAST Data Platform, unveiling Block storage functionality for the VAST DataStore, as well as the new VAST Event Broker. These latest capabilities aim to better accommodate the complex data…
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Supermicro IoT SuperServers Joins StorMagic?s Supported Hardware for its Full-Stack HCI Solution
Supermicro IoT SuperServers Joins StorMagic?s Supported Hardware for its Full-Stack HCI Solution StorMagic, solving the world’s edge data problems, is announcing that StorMagic SvHCI?the company’s full-stack HCI (hyperconverged infrastructure) software solution?has been tested and validated with three Supermicro IoT SuperServers. Go to dbta
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Using AI to achieve business transformation: A long-term process that needs to be managed
Using AI to achieve business transformation: A long-term process that needs to be managed A new paper co-authored by Professor Feng Li, Associate Dean for Research & Innovation at Bayes Business School, has warned businesses that artificial intelligence (AI) is not yet advanced enough to transform organizational processes, despite widespread hype about its impact on…
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New platform helps evaluate AI for complex computer use
New platform helps evaluate AI for complex computer use Imagine asking AI to plan your trip itinerary, book and pay for all your flights, and arrange your airport transport—all within a single click. Fortunately, an international research team is making this vision a reality. Go to techxplore
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Ultrasonic deep drawing cuts friction by 20%, extends tool lifespan
Ultrasonic deep drawing cuts friction by 20%, extends tool lifespan You can find them in many household appliances, building technology, and countless pipe and hydraulic lines: small, cylindrical parts manufactured through deep drawing processes. The material is under strain during shaping. Potential consequences are unwanted thinning, surface damage, or cracks. Go to techxplore
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New technique aims to make food deliveries more efficient
New technique aims to make food deliveries more efficient North Carolina State University researchers have developed a new technique to improve the efficiency of food-delivery operations. The technique accounts for the location of food distribution sites and delivery locations to develop optimized delivery routes that make food delivery faster and more fuel efficient. Go to…
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Scientists develop first helicopter-borne magnetotelluric detection system
Scientists develop first helicopter-borne magnetotelluric detection system China has deployed its first domestically developed helicopter-borne magnetotelluric detection system, created by the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences. This advanced system is being used in high-altitude railway construction projects for geological surveys at elevations up to 5,000 meters, successfully addressing challenges…
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Veeam extends recovery orchestration to Hyper-V
Veeam extends recovery orchestration to Hyper-V Data resilience company Veeam is extending the functionality of its Veeam Data Platform to include recovery orchestration for Microsoft Hyper-V deployments. The Orchestrator, available to Veeam Data Premium customers, now supports disaster recovery orchestration of Hyper-V machines and orchestrates the recovery of other machines to Hyper-V to support migration from…
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Crypto ETFs are ‘Dragging Along’ the Negatives of Traditional Finance: Sygnum
Crypto ETFs are ‘Dragging Along’ the Negatives of Traditional Finance: Sygnum The Swiss digital asset bank is challenging mainstream enthusiasm for crypto ETFs, citing traditional finance’s limitations. Vince Dioquino Go to decrypt.co
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XRP Price Jumps as SEC Acknowledges Canary Capital and Wisdom Tree XRP ETF Filings
XRP Price Jumps as SEC Acknowledges Canary Capital and Wisdom Tree XRP ETF Filings XRP’s price rally follows the acknowledgment of multiple XRP filings by the SEC and rumors of delay in Ripple’s legal battle with the agency. Vismaya V Go to decrypt.co
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Ethereum NFT Game ‘Fantasy Top’ Expands to Monad Alongside Testnet Launch
Ethereum NFT Game ‘Fantasy Top’ Expands to Monad Alongside Testnet Launch Fantasy Top turns Crypto Twitter (aka X) into a fantasy sports game—and now it’s expanding to Monad after launching on Ethereum L2 Blast. Logan Hitchcock Go to decrypt.co
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Microsoft Unveils Quantum Chip Powered by a ‘New State of Matter’
Microsoft Unveils Quantum Chip Powered by a ‘New State of Matter’ Microsoft’s Majorana 1 processor uses topological superconductivity to potentially scale quantum computing to 1 million qubits Jose Antonio Lanz Go to decrypt.co
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First-Ever Spot XRP ETF Gets Green Light in Brazil
First-Ever Spot XRP ETF Gets Green Light in Brazil Brazil is set to be the first country to launch a spot XRP ETF after the country’s regulator gave the green light to Hashdex’s product. Mathew Di Salvo Go to decrypt.co
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Model selection for behavioral learning data and applications to contextual bandits
Model selection for behavioral learning data and applications to contextual bandits arXiv:2502.13186v1 Announce Type: new Abstract: Learning for animals or humans is the process that leads to behaviors better adapted to the environment. This process highly depends on the individual that learns and is usually observed only through the individual’s actions. This article presents ways…
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Task Shift: From Classification to Regression in Overparameterized Linear Models
Task Shift: From Classification to Regression in Overparameterized Linear Models arXiv:2502.13285v1 Announce Type: new Abstract: Modern machine learning methods have recently demonstrated remarkable capability to generalize under task shift, where latent knowledge is transferred to a different, often more difficult, task under a similar data distribution. We investigate this phenomenon in an overparameterized linear regression…
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An Efficient Permutation-Based Kernel Two-Sample Test
An Efficient Permutation-Based Kernel Two-Sample Test arXiv:2502.13570v1 Announce Type: new Abstract: Two-sample hypothesis testing-determining whether two sets of data are drawn from the same distribution-is a fundamental problem in statistics and machine learning with broad scientific applications. In the context of nonparametric testing, maximum mean discrepancy (MMD) has gained popularity as a test statistic due…
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Graph Signal Inference by Learning Narrowband Spectral Kernels
Graph Signal Inference by Learning Narrowband Spectral Kernels arXiv:2502.13686v1 Announce Type: new Abstract: While a common assumption in graph signal analysis is the smoothness of the signals or the band-limitedness of their spectrum, in many instances the spectrum of real graph data may be concentrated at multiple regions of the spectrum, possibly including mid-to-high-frequency components.…
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Identifying metric structures of deep latent variable models
Identifying metric structures of deep latent variable models arXiv:2502.13757v1 Announce Type: new Abstract: Deep latent variable models learn condensed representations of data that, hopefully, reflect the inner workings of the studied phenomena. Unfortunately, these latent representations are not statistically identifiable, meaning they cannot be uniquely determined. Domain experts, therefore, need to tread carefully when interpreting…
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Why Data Scientists Should Care about Containers — and Stand Out with This Knowledge
Why Data Scientists Should Care about Containers — and Stand Out with This Knowledge “I train models, analyze data and create dashboards — why should I care about Containers?” Many people who are new to the world of data science ask themselves this question. But imagine you have trained a model that runs perfectly on…
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Advanced Time Intelligence in DAX with Performance in Mind
Advanced Time Intelligence in DAX with Performance in Mind We all know the usual Time Intelligence function based on years, quarters, months, and days. But sometimes, we need to perform more exotic timer intelligence calculations. But we should not forget to consider performance while programming the measures. Introduction There are many Dax functions in Power BI…
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Multimodal Search Engine Agents Powered by BLIP-2 and Gemini
Multimodal Search Engine Agents Powered by BLIP-2 and Gemini This post was co-authored with Rafael Guedes. Introduction Traditional models can only process a single type of data, such as text, images, or tabular data. Multimodality is a trending concept in the AI research community, referring to a model’s ability to learn from multiple types of…
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Formulation of Feature Circuits with Sparse Autoencoders in LLM
Formulation of Feature Circuits with Sparse Autoencoders in LLM Large Language models (LLMs) have witnessed impressive progress and these large models can do a variety of tasks, from generating human-like text to answering questions. However, understanding how these models work still remains challenging, especially due a phenomenon called superposition where features are mixed into one…
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Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days
Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days 27 days, 1,700+ commits, 99,9% AI generated code The narrative around AI development tools has become increasingly detached from reality. YouTube is filled with claims of building complex applications in hours using AI assistants. The…
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How to record Zoom meetings with OBS
How to record Zoom meetings with OBS Go to techtarget
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Apollo GraphQL Transforms API Orchestration Efficiency and Cost with Apollo Connectors
Apollo GraphQL Transforms API Orchestration Efficiency and Cost with Apollo Connectors Apollo GraphQL, the graph-based API orchestration company, is announcing the general availability of its Apollo Connectors for REST APIs, as well as new GraphOS platform enhancements, designed around optimizing enterprises’ API strategies. Go to dbta
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Hexaware Collaborates with AWS to Enhance Cloud Adoption
Hexaware Collaborates with AWS to Enhance Cloud Adoption Hexaware Technologies, an IT solutions and services provider, is partnering with Amazon Web Services (AWS) to strengthen its offerings in migration and modernization, data and AI, and generative artificial intelligence (AI)-powered customer experience solutions. Go to dbta
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NVISIONx Unveils GenAI-Powered Contextual Classification Solution to Redefine Data Security Posture Management
NVISIONx Unveils GenAI-Powered Contextual Classification Solution to Redefine Data Security Posture Management NVISIONx, a leader in Data Security Posture Management (DSPM), is introducing Nx+RexAI, a new solution designed to tackle the challenges of data governance, regulatory compliance, and data security. Go to dbta
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Oracle NetSuite Introduces Innovations to Support Greater Business Efficiency to Drive Success
Oracle NetSuite Introduces Innovations to Support Greater Business Efficiency to Drive Success Oracle NetSuite today is introducing a series of AI innovations and other new product updates that will help organizations increase efficiency and accelerate growth. According to the company, the latest updates across the suite build on the comprehensive AI capabilities embedded in NetSuite…
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NVIDIA L40S GPU is Available for Oracle Compute Cloud@Customer and Oracle Private Cloud Appliance
NVIDIA L40S GPU is Available for Oracle Compute Cloud@Customer and Oracle Private Cloud Appliance As part of Oracle’s distributed cloud strategy, the company is launching Oracle Compute Cloud@Customer with NVIDIA GPU configurations and Oracle Private Cloud Appliance with GPU configurations (available in March), featuring NVIDIA L40S GPUs to bring enterprise-grade AI, graphics, and high-performance computing…
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Reducing carbon emissions from residential heating: A pathway forward
Reducing carbon emissions from residential heating: A pathway forward In the race to reduce climate-warming carbon emissions, the buildings sector is falling behind. While carbon dioxide (CO2) emissions in the U.S. electric power sector dropped by 34% between 2005 and 2021, emissions in the building sector declined by only 18% in that same time period.…
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Unlocking the future of satellite navigation with smart techniques
Unlocking the future of satellite navigation with smart techniques A new study reveals advanced methods for improving orbit determination (OD) of large constellations of Low Earth Orbit (LEO) satellites, utilizing Global Navigation Satellite System (GNSS) observations and inter-satellite ranging. These innovations promise to significantly boost the accuracy and computational efficiency essential for satellite communication, remote…
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High-performance sodium-ion cathode paves the way for lithium-ion battery alternative
High-performance sodium-ion cathode paves the way for lithium-ion battery alternative For decades, scientists have sought ways to counter our dependence on lithium-ion batteries. These traditional, rechargeable batteries energize today’s most ubiquitous consumer electronics—from laptops to cell phones to electric cars. But raw lithium is expensive and is often sourced through fragile geopolitical networks. Go to…
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Flatworm-inspired robot nimbly navigates cluttered water surfaces
Flatworm-inspired robot nimbly navigates cluttered water surfaces Swimming robots play a crucial role in mapping pollution, studying aquatic ecosystems, and monitoring water quality in sensitive areas such as coral reefs or lake shores. However, many devices rely on noisy propellers, which can disturb or harm wildlife. The natural clutter in these environments—including plants, animals, and…
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Machine learning accelerates discovery of membranes to filter PFAS from water
Machine learning accelerates discovery of membranes to filter PFAS from water Someday, your drinking water could be completely free of toxic “forever chemicals.” These chemicals, called PFAS (per- and polyfluoroalkyl substances), are found in common household items like makeup, nonstick cookware, dental floss, batteries, and food packaging. PFAS permeate the soil, water, food, and air,…
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Balancing the optimiser and innovator mindset in IT strategy
Balancing the optimiser and innovator mindset in IT strategy The tension between cutting costs through efficiency and driving growth through innovation is more pronounced now than it has been in decades. But businesses don’t have to choose one over the other: they can strike a balance. Robert Frost captured this dilemma in The Road Not…
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UNICEF Australia boosts data governance to maintain supporter trust
UNICEF Australia boosts data governance to maintain supporter trust UNICEF is a children’s organisation with the determination and care to deliver long-lasting impact for every child, no matter what. UNICEF operates in more than 190 countries in some of the world’s toughest places to reach the most disadvantaged children. UNICEF Australia identified the growing risks associated…
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SEC Acknowledges Bitwise’s Spot XRP ETF Filing Adding to a Crowded List
SEC Acknowledges Bitwise’s Spot XRP ETF Filing Adding to a Crowded List SEC’s approval of Bitwise XRP ETF will depend on public feedback and the filing’s compliance with its investor protection standards. Vismaya V Go to decrypt.co
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Indian Authorities Seize $190 Million Tied to BitConnect Crypto Scam
Indian Authorities Seize $190 Million Tied to BitConnect Crypto Scam It’s a drop in the bucket compared to the stash of Bitcoin taken from BitConnect investors, now valued at more than $31 billion. Luke Edwards Go to decrypt.co
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‘Cardex’ Game Exploit Drains Wallets on Ethereum Layer-2 Abstract
‘Cardex’ Game Exploit Drains Wallets on Ethereum Layer-2 Abstract Abstract trading card game Cardex reportedly mishandled its private keys, leading to nearly $500K worth of assets swiped from players. Ryan Gladwin Go to decrypt.co
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FTX Creditor ‘Champion’ Advises SBF’s Victims to Avoid Gambling on Solana Meme Coins
FTX Creditor ‘Champion’ Advises SBF’s Victims to Avoid Gambling on Solana Meme Coins Sunil Kavuri, a prominent advocate for FTX creditors, advises victims not to gamble away their returned assets after missing the bull run. André Beganski Go to decrypt.co
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Everything You Need to Know About the Team Behind Milei’s Libra Meme Coin
Everything You Need to Know About the Team Behind Milei’s Libra Meme Coin Argentine President Javier Milei has found himself in a meme coin mess. These four men are allegedly behind the Solana token, Libra. Ryan Gladwin Go to decrypt.co
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Suboptimal Shapley Value Explanations
Suboptimal Shapley Value Explanations arXiv:2502.12209v1 Announce Type: new Abstract: Deep Neural Networks (DNNs) have demonstrated strong capacity in supporting a wide variety of applications. Shapley value has emerged as a prominent tool to analyze feature importance to help people understand the inference process of deep neural models. Computing Shapley value function requires choosing a baseline…
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The Majority Vote Paradigm Shift: When Popular Meets Optimal
The Majority Vote Paradigm Shift: When Popular Meets Optimal arXiv:2502.12581v1 Announce Type: new Abstract: Reliably labelling data typically requires annotations from multiple human workers. However, humans are far from being perfect. Hence, it is a common practice to aggregate labels gathered from multiple annotators to make a more confident estimate of the true label. Among…
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Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation
Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation arXiv:2502.12607v1 Announce Type: new Abstract: We propose Duality Gap KIP (DGKIP), an extension of the Kernel Inducing Points (KIP) method for dataset distillation. While existing dataset distillation methods often rely on bi-level optimization, DGKIP eliminates the need for such optimization by leveraging duality theory in…
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Federated Variational Inference for Bayesian Mixture Models
Federated Variational Inference for Bayesian Mixture Models arXiv:2502.12684v1 Announce Type: new Abstract: We present a federated learning approach for Bayesian model-based clustering of large-scale binary and categorical datasets. We introduce a principled ‘divide and conquer’ inference procedure using variational inference with local merge and delete moves within batches of the data in parallel, followed by…
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Green LIME: Improving AI Explainability through Design of Experiments
Green LIME: Improving AI Explainability through Design of Experiments arXiv:2502.12753v1 Announce Type: new Abstract: In artificial intelligence (AI), the complexity of many models and processes often surpasses human interpretability, making it challenging to understand why a specific prediction is made. This lack of transparency is particularly problematic in critical fields like healthcare, where trust in…
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How to Fine-Tune DistilBERT for Emotion Classification
How to Fine-Tune DistilBERT for Emotion Classification The customer support teams were drowning with the overwhelming volume of customer inquiries at every company I’ve worked at. Have you had similar experiences? What if I told you that you could use AI to automatically identify, categorize, and even resolve the most common issues? By fine-tuning a…
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Learning How to Play Atari Games Through Deep Neural Networks
Learning How to Play Atari Games Through Deep Neural Networks In July 1959, Arthur Samuel developed one of the first agents to play the game of checkers. What constitutes an agent that plays checkers can be best described in Samuel’s own words, “…a computer [that] can be programmed so that it will learn to play…
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Honestly Uncertain
Honestly Uncertain Ethical issues aside, should you be honest when asked how certain you are about some belief? Of course, it depends. In this blog post, you’ll learn on what. Different ways of evaluating probabilistic predictions come with dramatically different degrees of “optimal honesty”. Perhaps surprisingly, the linear function that assigns +1 to true and fully…
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How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference With the recent explosion of interest in large language models (LLMs), they often seem almost magical. But let’s demystify them. I wanted to step back and unpack the fundamentals — breaking down how LLMs are built, trained, and fine-tuned to become the AI systems we interact…
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The Future of Data: How Decision Intelligence is Revolutionizing Data
The Future of Data: How Decision Intelligence is Revolutionizing Data In the past few years, technology and AI have evolved more than ever. As I read about the new concepts in tech and learn new skills and techniques each day, I feel in a state of limbo — there is so much content to consume and yet,…
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Hitachi Vantara and BMC Form Alliance to Spur Mainframe Innovation
Hitachi Vantara and BMC Form Alliance to Spur Mainframe Innovation Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd., is partnering with BMC Software, a global leader in software solutions, to innovate and optimize on mainframe and open systems environments. According to the companies, this collaboration will combine Hitachi Vantara’s…
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What?s Shaping GenAI in 2025
What?s Shaping GenAI in 2025 To help break down the latest and greatest of GenAI, experts joined DBTA’s webinar?in partnership with Enterprise AI World?Top Trends in GenAI for 2025, offering the necessary expertise and strategies for navigating the fast-paced AI era. Go to dbta
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Clearsense Strategic Rebrand Positions Company as Providing a Leading Healthcare Data Enablement Platform
Clearsense Strategic Rebrand Positions Company as Providing a Leading Healthcare Data Enablement Platform Clearsense, a cloud-based data enablement platform company, announced a transformative brand overhaul, along with the relocation of its headquarters to Nashville, Tennessee. Go to dbta
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Cube?s Microsoft Power BI and Excel Integrations Adapts to Data and Analytics Teams? Tech Stacks
Cube?s Microsoft Power BI and Excel Integrations Adapts to Data and Analytics Teams? Tech Stacks Cube, the providers of the leading universal semantic layer platform, is debuting new, expanded integrations with Microsoft Power BI and Microsoft Excel, designed to better meet customers in their Microsoft stacks. Go to dbta
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Delinea Offers Greater Visibility and Control Over All User Identities by Boosting Enterprise Security
Delinea Offers Greater Visibility and Control Over All User Identities by Boosting Enterprise Security Delinea, a pioneering provider of solutions for securing human and non-human identities through centralized authorization, is introducing new capabilities on its leading cloud-native platform, including credential and password support for workforce and business users, intelligent identity lifecycle management, and behavioral analytics…
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Synaptic device array integrates sensing, memory, and processing for artificial vision
Synaptic device array integrates sensing, memory, and processing for artificial vision In a development for artificial intelligence, researchers have unveiled a synaptic device array that shows promise for enhancing artificial visual systems. This innovative array, measuring a compact 0.7 × 0.7 cm2, integrates the capabilities of sensing, memory, and processing to mimic the intricate functions…
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Enhancing radiation resistance of silicon carbide power semiconductors for space applications
Enhancing radiation resistance of silicon carbide power semiconductors for space applications A research team led by Dr. Jae Hwa Seo at Advanced Semiconductor Research Center of KERI has developed technology to evaluate radiation resistance and secure reliability of silicon carbide (SiC) power semiconductor devices in space environment. The study is published in the journal Radiation…
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Powering the future—ultrathin films enhance electrical conductivity in flexible electronics
Powering the future—ultrathin films enhance electrical conductivity in flexible electronics What if your electronic devices could adapt on the fly to temperature, pressure, or impact? Thanks to a new breakthrough in downsizing quantum materials, that idea is becoming a reality. Go to techxplore
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Harnessing failure as an asset: How researchers are innovating smarter wearable tech
Harnessing failure as an asset: How researchers are innovating smarter wearable tech In the world of soft robotics and wearable technology, sheet-based fluidic devices are revolutionizing how lightweight, flexible and multifunctional systems are designed. But with innovation comes challenges, particularly in understanding and controlling failure in these devices. Go to techxplore
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Enhanced cathode materials could expand electric vehicle driving range
Enhanced cathode materials could expand electric vehicle driving range A research team has advanced cathode materials, a key component of electric vehicle batteries. Their findings could usher in a new chapter in the development of high-capacity high-safety lithium-ion battery materials. Their paper is published in the journal ACS Nano. Go to techxplore
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Co-Founder of Crypto Firm Behind Trump, Melania Tokens Resigns Amid Insider Trading Allegations
Co-Founder of Crypto Firm Behind Trump, Melania Tokens Resigns Amid Insider Trading Allegations Meteora’s pseudonymous founder Meow plans to hire Fenwick & West for an independent investigation into the allegations. Vismaya V Go to decrypt.co
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Musk’s xAI Unveils Grok-3: More Power, But Is It Breaking New Ground?
Musk’s xAI Unveils Grok-3: More Power, But Is It Breaking New Ground? With a 200,000-GPU cluster, xAI’s latest model tops benchmarks—but its demos feel more like catching up than leading the pack. Jose Antonio Lanz Go to decrypt.co
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Judge Assigned to Probe Argentina’s President Milei Over Alleged Crypto Scam
Judge Assigned to Probe Argentina’s President Milei Over Alleged Crypto Scam The probe will tackle President Milei alleged promotion of LIBRA, a Solana-based token that lost investors millions. Vince Dioquino Go to decrypt.co
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Crypto User Burns $7 Million Ethereum to Warn of ‘Mind Control’ Through Brain Chips
Crypto User Burns $7 Million Ethereum to Warn of ‘Mind Control’ Through Brain Chips An anonymous programmer sent millions in cryptocurrency to dead-end addresses while claiming military powers are using brain-computer interfaces to control citizens. Jose Antonio Lanz Go to decrypt.co
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Bitcoin Bull Run Just Getting Started as Institutions Load Up, Says Bernstein
Bitcoin Bull Run Just Getting Started as Institutions Load Up, Says Bernstein The market may have cooled for now, but the bull run is far from over, say analysts at global investment firm Bernstein. Mathew Di Salvo Go to decrypt.co
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Forecasting time series with constraints
Forecasting time series with constraints arXiv:2502.10485v1 Announce Type: new Abstract: Time series forecasting presents unique challenges that limit the effectiveness of traditional machine learning algorithms. To address these limitations, various approaches have incorporated linear constraints into learning algorithms, such as generalized additive models and hierarchical forecasting. In this paper, we propose a unified framework for…
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Weighted quantization using MMD: From mean field to mean shift via gradient flows
Weighted quantization using MMD: From mean field to mean shift via gradient flows arXiv:2502.10600v1 Announce Type: new Abstract: Approximating a probability distribution using a set of particles is a fundamental problem in machine learning and statistics, with applications including clustering and quantization. Formally, we seek a finite weighted mixture of Dirac measures that best approximates…
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Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes arXiv:2502.10605v1 Announce Type: new Abstract: Estimating the causal effects of an intervention on outcomes is crucial. But often in domains such as healthcare and social services, this critical information about outcomes is documented by unstructured text, e.g. clinical notes in healthcare or case notes in social services.…
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Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm arXiv:2502.10650v1 Announce Type: new Abstract: Advances in deep learning and representation learning have transformed item factor analysis (IFA) in the item response theory (IRT) literature by enabling more efficient and accurate parameter estimation. Variational Autoencoders (VAEs) have been one of the most…
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Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training arXiv:2502.10793v1 Announce Type: new Abstract: Existing methods for measuring training sample influence on models only provide static, overall measurements, overlooking how sample influence changes during training. We propose Dynamic Influence Tracker (DIT), which captures the time-varying sample influence across arbitrary time windows during training. DIT offers…
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Tutorial: Semantic Clustering of User Messages with LLM Prompts
Tutorial: Semantic Clustering of User Messages with LLM Prompts As a Developer Advocate, it’s challenging to keep up with user forum messages and understand the big picture of what users are saying. There’s plenty of valuable content — but how can you quickly spot the key conversations? In this tutorial, I’ll show you an AI…
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On-Device Machine Learning in Spatial Computing
On-Device Machine Learning in Spatial Computing The landscape of computing is undergoing a profound transformation with the emergence of spatial computing platforms(VR and AR). As we step into this new era, the intersection of virtual reality, Augmented Reality, and on-device machine learning presents unprecedented opportunities for developers to create experiences that seamlessly blend digital content…
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Experts say debate on e-mobility overshadows the real problem: Cars get too much space
Experts say debate on e-mobility overshadows the real problem: Cars get too much space In the Netherlands, we face an increasing diversity of vehicles on the bike paths, from (e-)cargo bikes, (e-)mopeds to fatbikes. This leads to concerns about crowding and safety. Accidents and conflicts between these different forms of mobility are common. The crux…
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Scientists develop three design techniques for power-efficient and speedier wireless transmitter systems
Scientists develop three design techniques for power-efficient and speedier wireless transmitter systems Three innovative design techniques substantially enhance wireless transmitter performance and can boost power efficiency and elevate data rates concurrently, as reported by the researchers from Science Tokyo, Japan. This effectively aligns with the growing demand for speed and efficiency, accelerating the widespread deployment…
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How far would you trust AI to make important decisions? Research suggests statistical literacy shapes trust
How far would you trust AI to make important decisions? Research suggests statistical literacy shapes trust From tailored Netflix recommendations to personalized Facebook feeds, artificial intelligence (AI) adeptly serves content that matches our preferences and past behaviors. But while a restaurant tip or two is handy, how comfortable would you be if AI-algorithms were in…
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Leafbot: A soft robot that conquers challenging terrains
Leafbot: A soft robot that conquers challenging terrains Soft robotics is an emerging field in the robotic world with promising adaptability in navigating unstructured environments. Where traditional robots struggle with unpredictable terrains, soft robots are advancing in their navigational skills due to their high-end flexibility. Go to techxplore
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Heat pumps have a coziness problem
Heat pumps have a coziness problem How we keep warm at home accounts for 17% of the UK’s greenhouse gas emissions. The UK cannot reach net zero emissions, and end its contribution to climate change, without ending its reliance on natural gas as the dominant source of heating. Go to techxplore
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Argentine President Milei Hit With Fraud Charges Over LIBRA Cryptocurrency: Report
Argentine President Milei Hit With Fraud Charges Over LIBRA Cryptocurrency: Report Milei deleted his promotional X post and disavowed the LIBRA project, but not before investors lost millions. Decrypt Staff Go to decrypt.co
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This Week in Crypto Games: Ethereum Network Ronin Opens Up, and GameStop Goes Bitcoin?
This Week in Crypto Games: Ethereum Network Ronin Opens Up, and GameStop Goes Bitcoin? Catch up on this week’s biggest crypto and NFT gaming news and find some weekend reads in our latest roundup. Ryan Gladwin Go to decrypt.co
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Professor Coin: Do Managed Crypto Funds Outperform the Market?
Professor Coin: Do Managed Crypto Funds Outperform the Market? Recent studies explore whether there are certain characteristics of crypto funds that make them more likely to outperform the market. Andrew Urquhart Go to decrypt.co
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Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs
Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs arXiv:2502.09832v1 Announce Type: new Abstract: In this paper, assuming a natural strengthening of the low-degree conjecture, we provide evidence of computational hardness for two problems: (1) the (partial) matching recovery problem in the sparse correlated ErdH{o}s-R’enyi graphs $mathcal G(n,q;rho)$ when the edge-density $q=n^{-1+o(1)}$ and…
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On Volume Minimization in Conformal Regression
On Volume Minimization in Conformal Regression arXiv:2502.09985v1 Announce Type: new Abstract: We study the question of volume optimality in split conformal regression, a topic still poorly understood in comparison to coverage control. Using the fact that the calibration step can be seen as an empirical volume minimization problem, we first derive a finite-sample upper-bound on…
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Estimation of the Learning Coefficient Using Empirical Loss
Estimation of the Learning Coefficient Using Empirical Loss arXiv:2502.09998v1 Announce Type: new Abstract: The learning coefficient plays a crucial role in analyzing the performance of information criteria, such as the Widely Applicable Information Criterion (WAIC) and the Widely Applicable Bayesian Information Criterion (WBIC), which Sumio Watanabe developed to assess model generalization ability. In regular statistical…
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Improved Online Confidence Bounds for Multinomial Logistic Bandits
Improved Online Confidence Bounds for Multinomial Logistic Bandits arXiv:2502.10020v1 Announce Type: new Abstract: In this paper, we propose an improved online confidence bound for multinomial logistic (MNL) models and apply this result to MNL bandits, achieving variance-dependent optimal regret. Recently, Lee & Oh (2024) established an online confidence bound for MNL models and achieved nearly…
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Combinatorial Reinforcement Learning with Preference Feedback
Combinatorial Reinforcement Learning with Preference Feedback arXiv:2502.10158v1 Announce Type: new Abstract: In this paper, we consider combinatorial reinforcement learning with preference feedback, where a learning agent sequentially offers an action–an assortment of multiple items to–a user, whose preference feedback follows a multinomial logistic (MNL) model. This framework allows us to model real-world scenarios, particularly those…
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Weekly Entering & Transitioning – Thread 17 Feb, 2025 – 24 Feb, 2025
Weekly Entering & Transitioning – Thread 17 Feb, 2025 – 24 Feb, 2025 Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include: Learning resources (e.g. books, tutorials, videos) Traditional education (e.g. schools, degrees, electives) Alternative education (e.g.…
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Check Point and Wiz partner to boost cloud security
Check Point and Wiz partner to boost cloud security Cybersecurity company Check Point Software Technologies has partnered with cloud security provider Wiz to help enterprises protect hybrid cloud environments. The collaboration will involve the integration of Wiz’s Cloud Native Application Protection technologies with Check Point’s cloud network security expertise. The integrations will enable joint customers…