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

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

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

TWO Universiti Tunku Abdul Rahman (UTAR) academics from the Lee Kong Chian Faculty of Engineering and Science were ...

New Delhi [India], November 6: When Atyab Mohammad last made headlines, it was for exiting Wigzo, which was acquired by Shiprocket, one of India's earliest marketing automation success stories. Years ...

A research group led by Prof. Sun Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, ...

The two companies will build a research environment that makes small-molecule synthesis faster, cheaper, and less repetitive.

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

Energy efficiency alone cannot justify trade-offs that might undermine safety. To ensure robust performance under all conditions, the researchers integrated a reinforcement learning–based decision ...

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...