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 possible variants—more combinations than atoms in the observable universe.

AI-driven autonomous robots are coming to biology laboratories, but researchers insist that human skills remain essential.

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds.

Gabriel Gomes built an agent that turns plain English into physical experiments, enabling research that humans alone could never sustain ...

Welcome to the official release of our containerized LabVIEW environment! This project enables you to run LabVIEW seamlessly on Windows and Linux containers using Docker, making it easier to integrate ...

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...