Researchers used Bayesian optimization with Gaussian process surrogate modeling to design microfluidic deterministic lateral ...

Magnetic tunnel junction hardware random number generators hit new performance frontier: UT Austin research in Journal of Applied Physics shows ferrimagnetic junctions are 10x faster and non-collinear ...

Researchers combined Gaussian process machine learning with expert judgment to optimize laser annealing of silicon suboxide ...

Materials Informatics (MI) is a method that uses past experimental data and machine learning to determine "which conditions ...

New AI-enhanced solution helps identify promising drug formulations, compressing early clinical decision-making for new treatments ...

Hello.This is Pharmer.In this article, I will organize how much machine learning can be used in HPLC method development from ...

Quotient Sciences, a global integrated CRDMO (contract research, development and manufacturing organization), and Acesion Pharma, a Copenhagen-based biotech company developing treatments for cardiac ...

New technology applies quantum stratified inference, amplitude amplification and Bayesian analysis to detect and localize rare anomalous activity in high-dimensional data environments ...

Most screening readouts are snapshots. An endpoint measurement can obscure differences in association rate and dissociation ...

Published chemical literature has accumulated a wealth of reaction data, but this data comes from diverse sources, is unevenly distributed, and is ...