Machine Learning for C++ developers: DMLLib and VisualDML

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
Seeking Alpha

3 E Network Announces “AI Smart Energy Plan” for Mikkeli Project, Exploring Algorithm-Driven Approaches to Energy Economics

HONG KONG, Feb. 05, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (MASK) (Nasdaq: MASK, "3 E" or the "Company"), a business-to-business ("B2B") information technology ("IT") business ...
IEEE

Adaptive Stochastic Conjugate Gradient Optimization for Backpropagation Neural Networks

Abstract: Backpropagation neural networks are commonly utilized to solve complicated issues in various disciplines. However, optimizing their settings remains a significant task. Traditional ...
ssir.org

Breaking the Algorithmic Contract

Too often, we see the deluge of content streaming through our tech platforms as a wave washing over us. But the reality is that this is a “wave” we are choosing to ride. It’s useful to think of our ...
IEEE

Gradient Descent Algorithm Based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
NPR

Deal for TikTok creates U.S. joint venture, and government won't have a stake

A new U.S.-based joint venture with investors that include Oracle and the private equity firm Silverlake will take control of the popular short video app TikTok, in a proposed deal that a senior White ...
Spin

SAGE ON STAGE

Cracker’s David Lowery delivers the “Low”-down on life between anthologies and why a vending machine is his higher power One-time accompanier of shaven-headed lads to bowling alleys, David Lowery, ...
Scientific Research Publishing

Magoulas, G.D., Vrahatis, M.N. and Androulakis, G.S. (1999) Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
GitHub

gradient-descent

This project is the first step into AI and Machine Learning under 42 curriculum at Hive Helsinki. Basic machine learning algorithm and program that predicts the price of a car by using a linear ...