From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance cellular reprogramming for aging research. The company operates across ...

Welcome to this week’s Food Exec Brief, a roundup of the most important news shaping food and beverage manufacturing, from AI ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Find out how an AI tool to cut costs and impact of sick calls streamlines clinical scheduling with predictive insights and human oversight.

Nice hotels often stock rooms with amenities like ironing boards, spare toothbrushes, bottled water, and cozy robes. These ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...

Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, according to a recent report from the United Nations Office for Disaster Risk ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...