By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

Here are Danenberg's key recommendations for technology leaders using AI models: ...

Abstract: It is difficult to predict stock prices since financial markets are highly non-linear. Because of their ability to spot complex patterns and connections in price. By the advancements of deep ...

Abstract: The Sludge Age (SAGE) is a significant operational parameter in activated sludge processes. However, precisely estimating it can be difficult due to non-linear data and changeable operating ...