Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Abstract: This article presents the development, implementation, and validation of a loss-optimized and circuit parameter-sensitive triple-phase-shift (TPS) modulation scheme for a dual-active-bridge ...

Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...