In this work, we present GAROM, a new approach for reduced order modeling (ROM) based on generative adversarial networks (GANs). GANs attempt to learn to generate data with the same statistics of the ...

Deep learning has revolutionized protein structure prediction, but capturing conformational ensembles remains a challenge. Molecular dynamics (MD) simulations can describe biomolecular dynamics, but ...

Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify how the use of world models is ...

Fighting for relevance in the growing — and ultra-competitive — AI space, IBM this week introduced new generative AI models and capabilities across its recently launched Watsonx data science platform.

Google’s trying to make waves with Gemini, its flagship suite of generative AI models, apps, and services. But what’s Gemini? How can you use it? And how does it stack up to other generative AI tools ...

In a major leap for artificial intelligence (AI) and photonics, researchers at the University of California, Los Angeles (UCLA) have created optical generative models capable of producing novel images ...

Dive into how generative AI models work, what they can and can’t do, and the implications of all these elements. Generative AI, a subset of artificial intelligence, has emerged as a revolutionary ...