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 ...

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of new materials. Today, AI functions as a researcher's "second brain," ...

A fundamental link between two counterintuitive phenomena in spin glasses—reentrance and temperature chaos—has been mathematically proven for the first time. By extending the Edwards–Anderson model to ...