Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Can human beings cure all diseases in our lifetime? For centuries, humanity has strived to cure diseases. With the advent of Artificial ...

Why Everyone’s Jumping Into AI Right Now AI isn’t just some tech buzzword anymore , it’s everywhere. From your phone's voice ...

Metacognition, EFL Learners, Digital Intelligence Era, Artificial Intelligence (AI), Adaptive Learning, Self-Regulated Learning, Digital Literacy Share and Cite: Yang, X.X. (2025) The Evolution of ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

mlip is a Python library for training and deploying Machine Learning Interatomic Potentials (MLIP) written in JAX. It provides the following functionality: See the Installation section for details on ...

This report explores the critical field of plant disease recognition through the use of various machine learning algorithms. As agriculture faces increasing challenges from pathogens and diseases, the ...

Constantly Updated — The download contains the latest and most accurate details. Enhance Your Knowledge — The 10-page PDF looks at narrow AI, supervised learning, spam filters, and more.

In this study, we propose a method to estimate energy consumption in battery-powered Narrowband Internet of Things (NB-IoT) devices using the statistical data available from the NB-IoT modem, thereby ...

AI engineers are at the forefront of shaping tomorrow’s technology, building intelligent systems that power everything from chatbots to self-driving cars. This career guide breaks down seven key ...