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 ...
Tech Xplore

Living brain cells enable machine learning computations

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 ...
Distractify on MSN

The journalist is a machine: Lior Alexander and the end of the newsroom

Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...
Semiconductor Engineering

Exploring The Frontiers Of Lithography And Patterning: Highlights From SPIE Advanced Lithography + Patterning 2026

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.
IEEE

Generation of CNN Architectures Using the Harmonic Search Algorithm and its Application to Classification of Damaged Sewer

Abstract: When used as an image processing method, convolutional neural networks (CNNs) cannot verify conditions that can achieve high performance; however, they show sufficiently high performance and ...
IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

Comparative Study of CNN, LSTM, CNN-LSTM and GluonTS Machine Learning Algorithms on Water Quality Index (WQI) Prediction

Abstract: Approaches based on artificial intelligence offer promising prospects for optimizing water supply and sanitation systems while guaranteeing the quality of drinking water, surface water, and ...
IEEE

Hybrid CNN and Machine Learning Framework for Detecting Curvularia Leaf Spot in Oil Palm Seedlings Using VGG16 and ResNet50

Abstract: This study presents a hybrid framework for detecting black leaf spot disease in oil palm seedlings caused by Curvularia infection by combining deep learning with classical machine learning ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...