Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

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

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

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

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 ...

According to the job description, the role sits within the AI & Robotics division under Engineering and R&D and will contribute to building hardware that powers Tesla’s neural-network-driven ...

The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering students from the Class of 2026 for Summer Internships. The department ...

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 ...

A new approach integrates machine learning and mobility to extend the life of wireless groundwater sensors, improving energy efficiency in urban monitoring.

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

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.