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

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

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

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

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 ...

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

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

Secure your MCP hosts with quantum-resistant identity and access management. Learn about lattice-based signatures, CRYSTALS-Dilithium, and 4D context-aware security.

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