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 ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

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

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

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 ...