Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and ...

Researchers have built a small-scale computer that runs on thermal noise, the random electrical fluctuations that conventional chip designers spend billions trying to suppress. The device, called a ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Locai Labs and First Light Fusion have agreed to study AI applications in high-energy physics and fusion research.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A common type of error-correcting mechanism in biology is called kinetic proofreading. For example, if errors turn up when cells are making new DNA, enzymes can cut out incorrect nucleotides. They can ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Together, the launch of GT Intelligence Studio and these leadership appointments mark a pivotal step in Gamma Technologies' transformation. The company is investing aggressively in talent, technology, ...

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...