Work IQ is Microsoft's big bet on agent-first enterprise IT, and I have questions

Microsoft's Work IQ could make enterprise AI agents dramatically smarter, but the shift to agent-first IT brings serious ...
Forbes

IBM's Agentic Operating Model Puts Sovereignty At The Center

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. IBM unveiled a comprehensive framework at its recent Think event in Boston for what it calls ...

Vision-Language Models And Agentic AI Are Rewriting The Rules Of Video Analytics

The global AI video analytics market is on track to reach $17 billion by 2031, growing at over 22% annually. Behind the ...
C&EN

AI companies introduce new agent-based tools for scientific discovery

Researchers developing autonomous artificial intelligence research tools say that they’ll soon be able to integrate with lab equipment like this. Credit: Shutterstock AI researchers are developing ...
Business Standard

Nvidia unveils RTX Spark superchip for AI-focused Windows PCs: Details

Nvidia has unveiled RTX Spark, a superchip that it says is designed to power a new generation of Windows laptops and compact desktop PCs built for AI, gaming, and content creation. Announced at ...

The AI agent bottleneck isn't model performance — it's permissions

Enterprise AI agents stall on permissions, not model performance. Workday's Sana platform builds the governance layer ...
Tech Times

AI Agent Business Models Split Four Ways: Open-Source Infrastructure, Token Distribution, SaaS, Acquisition

OpenClaw and Hermes Agent win GitHub stars and inference tokens, Genspark crossed $200 million in annual revenue, and Manus ...
Decrypt

This Half-Gigabyte AI Model Runs Local Agents on Your Phone

OpenBMB's 1B-parameter model MiniCMP 5 brings MCP support and agentic tool use to on-device AI—but it has trouble with logic ...
American BankerOpinion

Regulators' guidance on model risk leaves many questions unanswered

Joint guidance from the Federal Reserve and Office of the Comptroller of the Currency on managing model risk leaves many ...
IEEE

Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network

Abstract: Bearing fault diagnosis is essential for ensuring the safety and reliability of industrial systems. Recently, deep learning approaches, especially the convolutional neural network (CNN), ...
IEEE

Data-Driven Modeling for Hourly Building Energy Use Prediction with Corrupt Weather Dataset

Abstract: The growing concern over the impact of energy use and carbon emissions on the environment has led to an increased interest in building energy consumption related topics. How to better ...