Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
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.
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
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, ...
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 ...
Abstract: The expanding electric vehicles (EV) market has raised the demand for better-optimized intelligent battery management systems (BMS) that can improve safety, performance, and charging time.
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 ...
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