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 ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

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, ...

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start and end with double underscores, such as __init__, __getitem__, and __len_ ...

The AI models, which are built on massive datasets and can be adapted to multiple tasks, have become a part of medtech ...

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.

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 ...