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.

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Abstract: The rapid digitalization and proliferation of internet-connected devices have not only revolutionized our daily lives but also exponentially expanded the attack surface for cybercriminals, ...

Abstract: With the improvement of people’s living standards, material needs have been satisfied, so attention has begun to be paid to mental health. Among them, adolescents due to adolescence, mental ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Background: Accurate mortality prediction in emergency departments (ED) is crucial for timely intervention and resource allocation. This study developed and compared multiple machine learning models ...

Big Tech companies and upcoming startups want to use generative AI to build software and hardware for kids. A lot of those experiences are limited to text or voice, and kids might not find that ...