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

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

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 ...

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 ...

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 ...

How can cells be programmed to respond to complex signals and make targeted decisions, similar to a logical circuit in a ...

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...

Validate learning, predict and design next-gen C-N coupling catalyst material.

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

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.