When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and ...

Despite AI’s vast potential, a fundamental issue is holding it back; it's called WEIRD data, and it’s a challenge the ...

Introduction Artificial Intelligence (AI) has evolved rapidly from a concept of a bright future to being a must-have ...

Get a first-hand look at how Xray applies AI to test design, combining efficiency and security while keeping human expertise ...

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, ...

As Meta unveils its powerful on-device reasoner, a wider industry trend emerges where small, specialized models are solving enterprise challenges around cost, privacy, and control.

The AI models, which are built on massive datasets and can be adapted to multiple tasks, have become a part of medtech companies’ lexicon in the past few years.

A new tool called SCIGEN allows researchers to implement design rules that AI models must follow when generating new materials. The advance could speed the development of materials that enable ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic problem-solving partner.

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...