The development of a semiconductor system is more complex than just describing functionality in RTL. How ready are AI models ...

This study presents a machine learning approach to estimate the top-of-atmosphere (TOA) shortwave radiation flux from Deep Space Climate Observatory / Earth Polychromatic Imaging Camera (DSCOVR/EPIC) ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Researchers from Okinawa Institute of Science and Technology outline a strategy for using machine learning (ML) to address ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for sustainable energy applications.

Background and Aim: Accurate prediction of glucose levels (episodes of hyperglycemia and hypoglycemia) is essential for improving diabetes management. We developed approaches to predict daytime ...

Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance. This week, at the International ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big Pharma, Big Tech is all in on it, finds Satyen K. Bordoloi. In February ...