Nvidia Corp. today announced the release of new tools for developers working on artificial intelligence-enabled robots, including humanoids, that enable faster development cycles using simulation, ...

Across the financial technology landscape, institutions are seeking solutions that combine machine learning, generative AI, and advanced analytics to improve risk modeling, forecasting, and ...

In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

This animation shows the simulated evolution of a galaxy over 200 million years. While the simulations look very similar with and without the machine learning AI model, the AI model performed 4 times ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

Staff at the New Mexico laboratory took Nextgov/FCW inside their newest supercomputer installation and its potential to support artificial intelligence applications for both public and classified ...

Supply chains today are more complex than ever before. Disruptions created by material shortages, climate disasters, and geopolitical tensions have added to an already complicated process, leaving ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Artificial Intelligence (AI) has become an integral part of modern technology, transforming various industries by simulating human intelligence through computers. This guide delves into the world of ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...