AI Is Becoming A Scientist: How Self-Driving Labs Will Accelerate Discovery

This article explores how autonomous science could speed up breakthroughs in medicine & materials, while raising urgent ...
IEEE

Self-Supervised Learning-Based Multiparameters Optimization Framework in Servo Systems

Abstract: Servo control systems exhibit strong coupling among multiple control parameters, posing dual challenges of efficiency and stability during optimization. Traditional parameter tuning ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
GitHub

Python code to run Supervised Molecular Dynamics (SuMD) simulations

Sabbadin, D.; Moro, S. Supervised Molecular Dynamics (SuMD) as a Helpful Tool to Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale. J. Chem. Inf ...
IEEE

GeoMM-SSL: Integrating Geospatial Object Relations in Multimodal Self-Supervised Learning for Semantic Segmentation of Remote Sensing Images

Abstract: Self-supervised learning (SSL) has emerged as a promising approach for pretraining tasks by learning latent task-agnostic representations without labels. Currently, the pretrained SSL models ...