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

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Abstract: The subfield of artificial intelligence (AI) within computer science aims to create intelligent machines capable of performing tasks typically requiring human intelligence. This foundational ...

This repository contains the Python SDK that enables developers to manage Decentralized Identifiers (DIDs) and AnonCreds Verifiable Credentials on the Hedera network using the Hedera Consensus Service ...

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...