AI models capable of running efficiently on edge devices need to be reduced in size and compute considerably, while maintaining similar reliable results. This process, often referred to as model ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

As companies rush to adopt new AI solutions, business leaders must understand the different types and how AI compares to ML.Constantly Updated — The ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

SeamlessTx is addressing this challenge with a unique platform that integrates large-scale directed evolution and machine ...