In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

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.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

A security device made from gold nanoparticles uses light alone to create, verify, and reset uncopyable identities, enabling ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

What: UC Berkeley researchers complete a comprehensive scientific analysis of the SETI@home archive, identifying ...

Discover the world of Recursive Self-Improvement (RSI) in AI. From I.J. Good's intelligence explosion to modern self-healing code and clinical applications, explore who is developing it, how it works, ...

We knew we had something interesting with T3p, a single small RNA found in breast cancer but absent from normal tissue. After being described in 2018, this molecule took our team on a six-year journey ...