When a company’s data is labeled incorrectly, machine-learning models can't use it correctly. Nvidia wants to patent a ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
You’ll see how to apply mathematical optimization algorithms that often prove superior to local optimization methods favored by typical machine learning applications and discuss why these methods can ...
Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...
Implementing AI and machine learning solutions for detecting railroad trespassers offers substantial benefits, with ...