Scientists have traditionally focused on educating the public on science or correcting misinformation. But researchers from marginalized communities often have broader goals in science communication.

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

SAMBALPUR: In a move aimed at making mushroom cultivation more accessible for small and marginal farmers, Gangadhar Meher ...

In the icy reaches of the Svalbard archipelago, a quiet revolution in marine restoration is underway. Researchers are ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Most calls to “tax AI” start from a near‑term fear: automation displaces workers, payroll-tax revenue falls, and governments ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

A Stanford AI model trained on nearly 600,000 hours of sleep data can assess future risk for dementia, heart disease and more ...

The disruption generated by AI enables the acceleration and industrialisation of the creation of internal solutions and start-ups through centres of excellence in Chicago, Madrid and Tbilisi. This ...