The toughest assignments are rarely the longest ones. They're the ones that demand two very different skills at once: building a persuasive narrative and backing it with data that can hold up under ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...

As people upskill and AI automates entry-level work, how does HR develop the talent pool to fill experienced mid-career roles ...

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

The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ingenious solution. A scientist examines a DNA (deoxyribonucleic acid) profile on ...

Advances in artificial intelligence are driving surging demand for data centers. But these warehouse-like facilities, containing computers that process and store data, require a lot of land and huge ...

A new approach enhances AI understanding through hierarchical clustering techniques with LLM-driven keyphrase extraction.

The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.

M. Milad Khani discusses the serious risks AI can introduce, particularly for marginalized communities like Indigenous ...

ETH Zurich scientists have created “MetaGraph,” a revolutionary DNA search engine that functions like Google for genetic data. By compressing global genomic datasets by a factor of 300, it allows ...

Researchers at Google Quantum AI have used their Willow quantum computer to help interpret data from Nuclear Magnetic Resonance (NMR) spectroscopy, a mainstay of chemistry and biology research. The ...