Research finds AI users scarily willing to “surrender” their cognition to LLMs

On one side are those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review ...
News-Medical.Net

Biological neural networks may serve as viable alternatives to machine learning models

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
IEEE

Integrating Machine Learning and Statistical Methods: A Hybrid SVM-KNN Model for Rainfall Prediction

Abstract: Agriculture is the backbone of India's economy, and rainfall prediction is a key component of it. Forecasting rainfall accurately helps farmers plan for weather conditions by giving them ...