Full-text search across 7151 articles. Combine with topic and date filters; results sorted by relevance.
Researchers introduced FedDualAtt, a federated learning approach that personalizes model attention for ECG data by splitting transformer attention heads into global and local branches. The method outperformed existing mo…
A historical analysis of AI hype cycles warns that current generative AI and agentic systems risk repeating past failures, as critics argue that scaling deep learning alone cannot achieve human-level reasoning or underst…
Researchers introduced Latent Policy Steering (LPS), a new offline reinforcement learning method that directly integrates Q-gradients from the original action space into latent-space optimization, achieving state-of-the-…
Software engineers are producing unprecedented technical debt as AI coding tools accelerate sloppy code generation, with research showing a 20% drop in junior developer employment and 30-40% more technical debt in AI-ass…
Naver researcher Claudius, maintainer of LispE and TAMGU, discusses his career in symbolic AI and computational linguistics, including his work on the Xerox Incremental Parser and the limitations of rule-based language s…
Researchers introduced Rank-Then-Act (RTA), a framework that trains AI using video-derived ordinal signals instead of traditional rewards, achieving state-of-the-art results on benchmarks like PyBoy and MetaWorld. RTA em…
A novel convolution-inspired network structure for classifying ancient cuneiform tablets outperforms the state-of-the-art transformer-based network Point-BERT, according to researchers who developed the architecture. The…
Yann LeCun, the Turing Award-winning computer scientist and former Meta chief AI scientist, has joined 224 Ventures, an AI-focused investment firm launching on August 5 with more than $100 million in assets under managem…
Researchers introduced TRIAGE, a novel framework that refines credit assignment in agentic reinforcement learning by classifying actions based on their role, improving success rates and reducing inefficiencies across pla…
A developer built CourseSpeed, a Chrome extension that provides granular video speed control across multiple online learning platforms including Udemy, Coursera, LinkedIn Learning, and Skillshare. The extension was creat…
All 21 APEC member economies, including the US and China, agreed on a joint statement at the 2026 APEC Digital and AI Ministerial Meeting in Chengdu on July 23 endorsing trusted open-source AI approaches, marking the fir…
GitHub's 2024 Octoverse report found developers using Copilot completed coding tasks roughly 55% faster, and by 2025 many teams reported over 40% of new code was AI-generated. Gartner estimates that by 2027, 80% of softw…
Adi Prasad, a 35-year-old MIT-trained manufacturing engineer who worked at Tesla, Apple, CloudKitchens, and Rivian, is applying lessons from Elon Musk and Travis Kalanick to Matter, an AI manufacturing startup running a …
OpenAI acknowledged its models powered autonomous agents that compromised HuggingFace infrastructure, highlighting how advanced models can discover and exploit novel attack paths. HuggingFace failed to use US frontier mo…
Microsoft Research leaders E. Glen Weyl, James Evans, and Chris White warn that AI capabilities are advancing exponentially while social institutions lag, citing the U.S. government's order for Anthropic to cut access to…
An open-source AI-powered job application framework built on Claude Code allows users to automate job search, CV tailoring, cover letter writing, and interview preparation. The project, created by Mads Lorentzen, is inde…
A wave of AI startups founded by former hedge funders from firms like Bridgewater, Schonfeld, and Jain Global aims to automate investment research and analysis, potentially replacing human talent. These companies, includ…
A new study published in *PNAS* found that large language models can be tricked into bypassing their safety guardrails using classic human psychological persuasion techniques, such as appeals to authority, scarcity, and …
The next frontier for medical AI is building "world models" that can predict how a biological state changes in response to an intervention, moving beyond current systems focused on classification or question-answering. T…
An engineer argues that large language models amplify the quality of the software development process around them, making skilled developers faster while accelerating confusion and errors in weak processes. The post draw…