IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Autonomous applications demand instant decisions, which require significant edge processing to achieve optimal latency ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and prompt ...

The global market for Data Center Chips was estimated at US$97.4 Billion in 2024 and is projected to reach US$109.3 Billion by 2030, growing at a CAGR of 1.9% from 2024 to 2030. This comprehensive ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...