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

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

Abstract: Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea ...
note

I was moved by the smallest brain written in Python. The joy of daring to run a 'perceptron' in the age of giant AI

It's Monday, and my mood is a bit dampened after spilling coffee from my favorite mug next to my keyboard this morning. But as I was frantically wiping down my desk, my eyes caught a technical article ...
GitHub

Week9__Perceptron_Algorithm_Practice.ipynb

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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 ...
TechRadar

‘A personal, instantaneous doctor integrated into their devices' — how a new skin computer patch could run life-saving AI processes directly on your body

Ultra-low latency is especially important for some medical conditions like ventricular fibrillation, where even a few seconds of latency could make a difference. You may like 'Self-powering' fabrics ...
GitHub

PranavAggarwal422/classical-ml-from-scratch

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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 ...