Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

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 ...

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

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

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 ...

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

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

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

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 ...