For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

By Nehru OdehIbrahim Bilau, a doctoral candidate at the Georgia Institute of Technology, whose work spans science, product innovation and human-centred technology, is a researcher with a ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...

In APL Bioengineering, researchers use a machine learning algorithm to explore whether electroencephalography could be useful ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

As Louisiana prepares to implement a statewide computer science graduation requirement, students at the Louisiana School for ...

Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...

Nebius Group's $7B hidden AI portfolio, including ClickHouse and Avride, and why the market significantly undervalues it.

High performance computing (HPC) has been playing a major role in modelling and simulations of grand challenge problems in ...

A University of Texas at Austin undergraduate from Sugar Land is helping reshape how countries around the world think about ...