A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures. Metal nanoparticles catalyze reactions ...
This new article publication from Acta Pharmaceutica Sinica B, discusses establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features.
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...
William Chiu (MSiA '13) works in the fast-paced world of finance, where algorithms often make decisions that impact millions of lives and even more dollars. Now he's helping MLDS students develop ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...
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