For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

When you realize just how much faster these new tools are, it becomes extremely clear why GM is embracing them. “Our FEA runs ...

At least mouse lives. Empa researchers have developed an AI-supported computer model of a mouse body that uses machine learning to predict how different nanomaterials are distributed in the mouse ...

A new study uses deep linear networks to prove that language undergoes iterated learning to become structured and learnable.

Tax Notes reporters Paul Jones and Emily Hollingsworth discuss how bias in artificial intelligence can affect automated ...

She is one of the world’s experts in what she and others in her field call ‘digital mathematics’: a term of their own to ...

Privacy-preserving AI workloads can make expensive GPUs look underused. CIOs should understand the bottleneck before ...

On April 21, 2026, the Faculty of Natural and Applied Sciences (FONAS) at Lead City University hosted its Annual Faculty Lecture at the International Conference Center, delivering a timely and ...

An examination of state laws and regulations applicable to AI use in health care, including state-specific requirements ...

The dataset is now available to the research community to accelerate the development of improved models for protein stability prediction.

Getting up to speed with a new research field can be tricky – it’s difficult to understand everything fully, but tempting to think that you do. There’s a parallel with sport where it might sound ...