AI algorithm enables tracking of brainstem's vital white matter pathways

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
manilatimes

FutureMain Bolsters Global Industrial AI Competitiveness with NPU-Based Time-Series AI Project

The project focuses on developing an integrated software package designed to process large-scale time-series data generated in smart factory and smart city environments using CNN- and RNN-based AI ...
IEEE

Advanced Training Algorithms in Sigma-Delta Spiking YOLO for Energy-Efficient Object Detection on Neuromorphic Hardware

Abstract: This paper explores methods for improving the training and inference performance of a Sigma-Delta spiking object detector by applying a series of training techniques and optimization ...
IEEE

Assisting Training of Deep Spiking Neural Networks With Parameter Initialization

Abstract: Spiking neural networks (SNNs) exhibit significant advantages in terms of information encoding, computational capabilities, and power usage. We regard initializing weight distribution as a ...