The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Stanford University’s Deep Generative Models (XCS236) is a graduate-level, professional online course offered by the Stanford ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Marketers are projected to have invested nearly $400 billion in US media in 2025, based on estimates from MAGNA and eMarketer. About half of that will go toward finding new customers. Yet, as ...

Founder and Chief Scientific Officer at Maisa, is an AI researcher and engineer focused on developing reliable, enterprise-grade artificial intelligence systems. He co-founded Maisa in 2024 to build ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at scale. Techniques such as transformer-based models enable automated ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

In one case, an AI checker pre-installed on a school-issued Chromebook flagged a student's essay on Harrison Bergeron by Kurt Vonnegut as "18% AI-written" simply because ...

Moody’s Zandi warns U.S. recession odds near 50% as Iran conflict lifts oil prices, fueling inflation fears and weak data—get ...

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have built a generative AI model that reconstructs the three-dimensional geometry of molecules from the scattered ion ...