One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Engineers at the Massachusetts Institute of Technology have developed an AI-driven robotic assembly system lets users build ...

New physical AI system helps electric vehicles detect loss of control in real time, improving stability and autonomous ...

In large enterprises, hundreds or even thousands of engineering teams are working in parallel. Each team owns a specific ...

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

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

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

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

Compare AI models side by side, then apply assistant suggestions to refine a TV and movie recommender prompt for engaging, friendly results.

From advanced water treatment design to regulatory compliance and environmental protection, Bhavik Shah’s engineering journey shows how technical excellence and human-centered thinking can deliver ...