From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Want to become an AI engineer but don’t know where to start? This video breaks down the essential skills, tools, and learning ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

OpenAI developed the first AI reasoning model less than a year ago, but the technology has shifted Silicon Valley's focus to ...

At this year’s EarthVision conference, Ph.D. student Ando Shah received the Best Paper Award for “Panopticon: Advancing ...

In this research work authors have experimentally validated a blend of Machine Learning and Nonlinear Model Predictive Control (NMPC) framework designed to track the temperature profile in a Batch ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While Sn's overall utility as a catalyst is well-known, its underlying ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

High-tech classrooms are being rebranded as "learning studios" and will function more much like college lecture halls at the new Compton High School. Will the concept catch on?

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...