Power electronics in the Industry 4.0 era are evolving to deliver higher efficiency and power density and simplify power design.

The initiative aims to build "AI-ready learners" by introducing core problem-solving skills and digital literacy from an ...

Welcome to the Edge Impulse open courseware for embedded machine learning! This repository houses a collection of slides, reading material, project prompts, and sample questions to get you started ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

This research presents a mathematical model of medical decision support systems that combines the predictive approach of machine learning with the deductive approach of expert systems. This modeling ...

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...

Historians have consistently adapted their methodologies to the available technological tools, progressing from manual examination of manuscripts to the use of advanced machine learning-based ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

Damon announced the next phase of its Damon I/O platform with the introduction of an advanced machine learning module to be the cornerstone of its forthcoming Hypersport Race (HSR) electric motorcycle ...