The artificial intelligence race is complicating tech companies’ commitments to reduce greenhouse gas emissions.

The requirements of a modern person are focused on speed and simplicity, especially when it comes to financial products.

In conversations with teachers, the pattern that appears consistently is a classic user design case. The most immediate use ...

Abstract: This paper introduces a novel deep learning-based system for real-time American Sign Language (ASL) interpretation and translation into speech, aimed at improving communication for ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...

Abstract: Accurate crystal structure identification is crucial for material property prediction, functional design, and the discovery of new materials. Machine learning models trained on simulated ...

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...