The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
TMCnet

1mind Publicly Launches with $40 Million to Usher in New Era of AI-Led Sales with Highly Skilled, Persuasive and Emotionally Intelligent "Superhumans"

PRNewswire/ -- 1mind, the pioneer in AI-led growth (AILG), today publicly launched with $40 million in total funding, ...

New deep learning model enhances roadside air pollutant forecasting accuracy

A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
IEEE

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis

Abstract: The rise of decentralized energy sources and renewables demands advanced grid planning, with short-term load forecasting (STLF) playing a crucial role. Energy demand in smart grids is highly ...
C&EN

Integrating Machine Learning into Free Energy Perturbation Workflows

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Free energy perturbation (FEP) methods are among the most accurate tools in ...
Frontiers

Deep learning-based time series prediction for precision field crop protection

Introduction: Precision agriculture is revolutionizing modern farming by integrating data-driven methodologies to enhance crop productivity while promoting sustainability. Traditional time series ...