In 1958, Frank Rosenblatt unveiled the perceptron in New York, laying the groundwork for image recognition in modern AI

A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...
IEEE

High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

Abstract: This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters. The enhanced algorithm, called ...
IEEE

Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine Learning

Abstract: Human activity recognition (HAR) plays a crucial role in human-computer interaction, smart home, health monitoring and elderly care. However, existing methods typically utilize camera, radio ...

Scientists develop predictive roadmap to boost performance in next-gen spintronics

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Quantum computer simulates hadronization, reproducing string breaking with 104 qubits

By remotely accessing an IBM quantum computer, a research scientist at Lawrence Berkeley National Laboratory has successfully ...
Eos

AI Improves Earthquake Detection

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
Journal of Medical Internet Research

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...