Setting this mindless process in motion lets a mathematical approximation of the task emerge automatically, without human beings having to specify which details matter. With efficient algorithms, well ...

Study: Extracting medicinal chemistry intuition via preference machine learning. Image Credit: Krisana Antharith/Shutterstock.com. In drug development campaigns, lead optimization entails the time ...

However, calculating the dielectric function meant calculating it from first- principles using quantum mechanics, a computationally slow and heavy process.

Darevsky DM, Hu DA, Gomez FA, et al. (2023). Algorithmic assessment of shoulder function using smartphone video capture and machine learning.

In this article, SEMulator3D Virtual Fabrication will be used for process pathfinding and visualization of potential 3D ReRAM architectures. We will estimate cell resistance as a function of memory ...

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

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...