MIT scientists found that what we see is strongly influenced by how alert or active we are. Parts of the brain responsible ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

Earth's earliest life left behind very few chemical traces. Fragile remains, like ancient cells and microbial mats, were buried, squeezed, heated, and broken apart by the planet's shifting crust ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's conversational platform ChatGPT, ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...

Scientists at Turku Bioscience Centre, University of Turku, have developed a machine-learning method to make sense of one of ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Teasing out biochemical information from ancient organic-rich sediments, notably the timing of the emergence of ...

Washington, DC— Pairing cutting-edge chemistry with artificial intelligence, a multidisciplinary team of scientists found ...