Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although conductor-like screening ...

Using machine learning regression models, we predict porosity (measure of potential storage volume) and permeability (measure ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

Market Size: USD 5.04 billion -- 2032 Projected Market Size: USD 10.56 billion -- CAGR (2025--2032): 11.5%. 3D Machine Visio ...

A new study reports that machine learning with computer simulations could improve efficiency to 40.17 % in CH3NH3SnI3 perovskite solar cells, with a focus on design improvements for real-world ...

When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

A new study reveals the dual use of a FAP molecule that inhibits fibrosis and facilitates drug delivery, offering insights ...