Researchers at EPFL built an AI framework that lets chemists describe what molecules they want in plain language.

Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.

There's a certain comfort in selecting the most powerful model. When you're building an AI-powered product, it feels responsible (almost logical) to pick the most powerful model available. GPT-4o.

Engineering Trust in the Moment That Matters Most, a co-authored white paper introducing the Institutional-Grade Distribution Verification Chain — a four-layer framework for managing the calculation ...

The people who get the most out of AI aren’t the ones with the best prompt templates. They’re the ones who treat the model as ...

Bhavuk Chawla reveals how contract manufacturing coherence is crucial for prestige beauty brands. Learn why fragmented supply ...

Creating complex molecules usually requires years of experience and countless decisions, but a new AI system is changing that ...

Researchers in the Carnegie Mellon University School of Computer Science have developed a tool that uses AI to analyze medical images, reducing the time healthcare professionals spend finding and ...

Universal Display Corporation misses on earnings expectations. Reported EPS is $0.76 EPS, expectations were $1.13. Operator: ...

The exhibition Colourful Parachutes at Toronto’s Power Plant makes play the focus — challenging the traditional role of ...

In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute's AirLab used the ...

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...