Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering ...

In May 2020, as the COVID-19 pandemic was overwhelming medical systems around the world, researchers at Mount Sinai’s BioMedical Engineering and Imaging institute in New York City showed how ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Eddy Keming Chen is an associate professor of philosophy at the University of California, San Diego, San Diego, California, USA. Mikhail Belkin is a professor of artificial intelligence, data science, ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...