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How machine learning is boosting business growth

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
EurekAlert!

AI surpasses mathematical limits to decode the mysteries of non-Hermitian topology

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
IEEE

High-Order Vehicular Pattern Learning and Privacy-Preserving and Unsupervised GAN for Privacy Protection Toward Vehicular Parts Detection

Abstract: This paper introduces High-order Vehicular Pattern Learning (HVPL), a novel framework designed to enhance vehicular pattern detection while ensuring privacy ...
Wall Street Journal

CEOs Are Learning to Live With Trump’s Turn to State Capitalism

Last week Nvidia finally got permission to sell one of its most advanced semiconductor chips to China. The catch: The federal government will take 25% of the revenue from those sales. The Nvidia deal ...
GitHub

Zero-Day Attack Detection System

This project implements a zero-day attack detection system that identifies previously unknown attacks by analyzing system behavior, network patterns, and application activities. It uses unsupervised ...
Business Wire

Carnegie Learning Wins CODiE Awards for MATHia ® and Patterns

PITTSBURGH--(BUSINESS WIRE)--Carnegie Learning, a global leader in AI-driven technology, curriculum, and professional learning solutions for K-12 education, announced today that MATHia and Patterns ...
IEEE

Unsupervised Person Re-Identification with Diffusion Model via Semantic-Aware Disentanglement Representation Learning

Abstract: Unsupervised person re-identification (Re-ID) requires learning semantic representation without identity labels. Existing methods entangle identity-related person features with ...
GitHub

[Code Addition Request]: Add PatternSmithAI to PyVerse (Synthetic Pattern Generation + Unsupervised Discovery)

PatternSmithAI generates synthetic numerical and visual patterns (sequences, grids, textures) and discovers underlying structure using unsupervised methods. It pairs configurable pattern generators (e ...
Baltimore Ravens

Roquan Smith Sets the Example by Learning to Swim

One of Roquan Smith's favorite sayings is "chin up, chest out." It's a reference to taking on challenges head-on, without fear or regrets. In the pool at Loyola College's aquatics center Tuesday ...