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

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Obsessing over model version matters less than workflow.

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...