Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

A maker shared an electronics project on Digikey that explains an automatic system for recognizing and organizing resistors using an Arduino Uno Q. Zach Hipps did the work and looked for methods to ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...