The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology's biggest challenges: predicting the 3D shape of proteins ...

Datasets fuel AI models like gasoline (or electricity, as the case may be) fuels cars. Whether they're tasked with generating text, recognizing objects, or predicting a company's stock price, AI ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

Krishna, Satyapriya, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Transactions on ...

Today, businesses face immense pressure to innovate. The rapid evolution of artificial intelligence and data analytics ...