Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Recursion Pharmaceuticals is laying off a fifth of its workforce in connection with a previously announced streamlining of the AI biotech’s pipeline. Shrinking the Salt Lake City-based company’s ...

Najat Khan, PhD, Recursion Pharmaceuticals chief R&D officer and chief commercial officer With at least seven of its programs expected to begin human trials or read out clinical data during 2025, ...

When people can’t tell what’s real and what’s fake they lose the ability to trust the information they consume. And when they lose trust, they can be manipulated. In 1999’s The Matrix, no one knows ...

The artificial intelligence (AI) revolution continues to tout developing drugs faster and at lower cost, but are we there yet? On October 2nd, the FDA cleared an investigational new drug (IND) ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...