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

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

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.

Post-occupancy evaluations provide key insights to cultivate student health, belonging and learning outcomes in K-12 school projects.

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

As more companies and startups join forces with government and academia in chip design projects, issues around data sharing, ...

Fintech is transforming how we manage, move, and grow money. It’s rewriting the rules of access, inclusion, and innova ...

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_ ...

Creatio Inc., the developer of a no-code platform for workflow automation and customer relationship management, announced new ...

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

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

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, ...