Explains why financial institutions must shift from periodic audits to embedding continuous controls in AI systems. Key takeaway: Effective governance reduces operational, regulatory, and systemic ...

GLM version 4.7 lifts software engineering accuracy from 68% to 73.8%, helping you ship cleaner code and UI faster. Terminal Bench rises from 24.5% to 41%, giving teams steadier ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Japan’s second largest city, Osaka, has begun testing autonomous AI agents in local government in an attempt to ease the country’s shrinking work force. Osaka Prefecture has launched a public-private ...

Autonomous Agents Platform Market is predicted to register growth from USD 8.8 bn in 2025 to about USD 221.1 bn by 2034 ...

Abstract: Managing design-level complexity in industrial software systems remains challenging, often resulting in error-prone, difficult-to-maintain codebases. Despite extensive research on metrics ...

Two Chinese AI startups are vying to be the first publicly traded AI model providers in the global stock market, ahead of ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Abstract: This research investigates the problem of exponential tracking consensus for nonlinear switched multi-agent systems (NSMASs) under limited communication resources. To alleviate the ...

This year has been a big one for AI coding startup acquisitions. Who can forget the dramatic Google-Windsurf-Cognition saga ...