A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

Evolution naturally produces the fittest living things for a given environment, but labs can speed up that process to uncover how cells respond to specific pressures. These directed evolution ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram. (Nanowerk Spotlight) ...

Image courtesy by QUE.com The landscape of Machine Learning is undergoing a transformative shift in 2026. As businesses and ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

A “ML-DFT-Experiment” integrated strategy accelerates the design of high-performance multi-principal alloy HER electrocatalysts via machine learning prediction. Density functional theory calculations ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Quantitative approaches to equity investing continue to introduce new sources of alpha. Recent advances in computing power, such as machine-learning and natural language processing are generating ...