A newly-detected spinning galaxy filament is reshaping our understanding of cosmic structure, gas flows, and the origins of ...

Despite soaring progress, scientists at AI’s largest gathering say key questions about how models work and how to measure ...

Zoho’s Sridhar Vembu says AI is enabling engineers to complete weeks of development work in a single day without mandated ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Cellular, animal and computational models of the disease are providing fresh insights into biology and treatment.

The cost impact of the four new labour codes is secondary, said Rohit Kapoor, CEO, Food Marketplace, Swiggy, emphasising that ...

Since the time of the dinosaurs, cycad plants may have attracted insects using infrared light. It may be the world's oldest ...

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses ...

The Angelus Chronodate is a study in contrasts. At first glance, the watch appears to be a vintage-inspired chronograph ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.