AI Research news and analysis on Web Pulse: 9720 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
AI founders, early employees, and researchers are cashing out billions in equity and spending on analog status symbols like luxury watches, driving a US luxury upswing. High-end mechanical watches from Patek Philippe, Au…
AI coding tools like Anthropic's Claude and OpenAI's Codex are reshaping software engineering, splitting developers into enthusiasts, skeptics, and those in between. A Stack Overflow survey found nearly 60% of developers…
Tech and finance firms are cutting thousands of jobs monthly while increasing AI spending, with Oracle cutting 21,000 jobs and AI cited as the top reason for layoffs for three straight months. Goldman Sachs estimates AI …
An AI engineering roadmap has been published, offering a structured guide from foundational concepts to advanced topics. The interactive graph allows users to track progress and see prerequisites for each phase.
A new study finds that averaging benchmark scores produces misleading rankings when evaluation data is sparse and item difficulty varies widely, with Spearman rank correlation dropping from 1.000 to 0.809 under such cond…
U.S.-based employers announced 45,849 job cuts in June, down 53% from May and the lowest monthly total since December 2025, according to Challenger, Gray & Christmas. Technology led all sectors with 15,503 cuts, and arti…
The Adaptive Context Elasticizer (ACE), a plug-and-play module for large language models, dynamically manages context by assigning each historical step a type—raw, abstract, or dropped—to optimize information retrieval. …
Researchers introduced the Relative Surprisal Index (RSI), an information-theoretic metric that balances token probability and entropy to improve reinforcement learning for large language models. The RSI Selection method…
A new framework for agentic business process management offers a classification system to balance AI agent autonomy with traceability and control, providing quantitative metrics for assessing implementation properties in…
Researchers have developed SAGE, a self-correcting autonomous research agent that uses structured diagnostics to recover from failures, increasing metrics-bearing results from 42% to 92% and improving artifact quality sc…
Researchers developed CSTrader, a multi-agent system using large language models to trade Counter-Strike 2 weapon skins, outperforming a down-trending market index by 15.62% and achieving up to 7.58% cumulative returns d…
A new study using GPT-5, Gemini 2.5 Pro, and Claude Sonnet 4.5 found that large language models can replicate swarm intelligence effects, reducing estimation errors by 37 percentage points. The models also demonstrated m…
Optimizing joint OFDM-RIS systems for 6G networks faces challenges including a lack of standardized benchmarks and scalability issues, with 78 attempts between 2021 and 2026 falling into four paradigms. ML-based methods …
Researchers released HistoriQA-ThirdRepublic, a French-language dataset of 1,782 multi-hop questions designed to test AI's ability to reason across parliamentary debates and newspapers from the French Third Republic. Cre…
Embodied CAD, a new AI-driven framework, introduces agents that iteratively learn parametric modeling through a structured library of CAD skills, achieving high executable rates on complex tasks. This approach merges AI …
A developer building the open-source Octo project has created an identity system for AI agents called AgentCard and Work Records. The system gives each AI agent a persistent identity, work history, and structured collabo…
The United Nations has launched a new commission co-chaired by Salesforce CEO Marc Benioff and Rwandan President Paul Kagame to develop unified global AI rules. The commission includes executives from Amazon, Anthropic, …
UBS analysts found that roughly 60% of enterprises are throttling AI spending by adding guardrails, creating a modest headwind for AI model makers. The trend boosts the value of cheaper open-source and Chinese models lik…
GeekyAnts warns that delaying AI product modernization in enterprises incurs rising maintenance costs, slower AI deployment, and widening competitive gaps, with technical debt in the US reaching $1.52 trillion and early …
Electric vehicles are straining power grids, prompting researchers to test AI-driven multi-agent reinforcement learning for smarter charging. Simulations using contextual combinatorial bandits and policy gradient algorit…