Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

Machine learning is rapidly emerging as a pivotal tool in plant tissue culture research, offering innovative approaches to optimise protocols, predict morphogenic responses, and streamline ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

In Recentive Analytics, Inc. v. Fox Corp., No. 2023-2437, slip op. at 18 (Fed. Cir. April 18, 2025), the Federal Circuit held that “patents that do no more than claim the application of generic ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

The rapid expansion of artificial intelligence initiatives across enterprise environments has given rise to a new class of ...