Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Editorial: The chancellor makes a compelling case for alignment with the EU, but her strategic analysis isn’t matched with political urgency in Downing Street ...

An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Researchers engineered the first RNA-based NAND gate in living cells using deep learning and Bayesian optimization, testing ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions that allow machines to learn data patterns with which to make predictions or ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

An interdisciplinary research team from two working groups at the Centre for Synthetic Biology at TU Darmstadt has developed the first RNA-based genetic switch that precisely replicates the logical ...

How can cells be programmed to respond to complex signals and make targeted decisions, similar to a logical circuit in a computer? Researchers have developed a new approach: an RNA-based genetic ...