In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Informed Solutions has worked with the National Police Coordination Centre (NPoCC) to enhance its national Mercury mutual aid platform ...

Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.