Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers ...

In new results from a clinical trial, researchers show that electrical stimulation of the spinal cord can restore the muscle control and sensory feedback required for coordinated walking movements.

The effects of spinal cord injuries are complex and multifaceted. People lose not only the ability to control the movement of their limbs, but also the ability to receive sensory feedback from them.

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.

Jenny Anderson, a journalist, is author of the Substack “How to Be Brave.” Rebecca Winthrop is director of the Center for Universal Education at the Brookings Institution and author of the newsletter ...

Leaders love AI because it makes knowledge instantly reusable—drafts, code, analysis on demand. A recent study uses a formal model to show what happens when “good-enough” answers become essentially ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

Radiomics extracts quantitative data from medical images, but its role in predicting deterioration after traumatic brain injury (TBI) remains uncertain. Now, researchers have analyzed pre-evacuation ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...