Visual Studio Magazine

Simple Numerical Optimization Using an Evolutionary Algorithm with C#

The goal of a numerical optimization problem is to find a vector of values that minimizes some cost function. The most fundamental example is minimizing the Sphere Function f(x0, x1, .. xn) = x0^2 + ...
news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
Science Daily

Training algorithm breaks barriers to deep physical neural networks

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
Seeking Alpha

MicroAlgo Inc. Announces a Quantum Entanglement-Based Novel Training Algorithm — Entanglement-Assisted Training Algorithm for Supervised Quantum Classifiers

shenzhen, May 16, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 16, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a novel quantum entanglement-based ...

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Nasdaq

MicroAlgo Inc. Announces a Quantum Entanglement-Based Novel Training Algorithm — Entanglement-Assisted Training Algorithm for Supervised Quantum Classifiers

This press release contains statements that may constitute "forward-looking statements." Forward-looking statements are subject to numerous conditions, many of which are beyond the control of ...