Tech Xplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Deep Learning with Yacine on MSN

Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning ...
Deep Learning with Yacine on MSN

RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part II: Error Analysis

Abstract: Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part I: Circuit Design and Convergence Analysis

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...
Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
AHA/ASA Journals

The TRUE-AIM Report Card: A Quality Assurance Initiative of the American Heart Association Journals to Promote High-Quality, Reproducible Artificial Intelligence Research

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...
C&EN

NNQS-AFQMC: Neural Network Quantum States Enhanced Fermionic Quantum Monte Carlo

Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 101408, China ...