In the brain, objects seen and imagined follow the same neural path

The result supports earlier studies that used brain imaging to find evidence that the same neural circuits are involved in ...
IEEE

Sparse Multi-Class Image Classification Using Hybrid Quantum-Inspired Tensor Networks for Brain MRI

Abstract: Accurate diagnosis of neurological disorders is contingent upon advanced imaging modalities such as Magnetic Resonance Imaging (MRI), which commonly utilize sparse imaging techniques to ...
TechCrunch

Google launches Nano Banana 2 model with faster image generation

Google today announced the latest version of its popular image generation model, Nano Banana 2. The new model, which is technically Gemini 3.1 Flash Image, can create more realistic images than its ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
C&EN

A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules

School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. Kuano, Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England CB22 5HX, U.K. Department ...
News Medical

Detecting causality in neural spike trains using a new technique

In a recent study, a research team led by Assistant Professor Kazuya Sawada from the Department of Information and Computer Technology, Faculty of Engineering at Tokyo University of Science (TUS), ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although ...
IEEE

A Hybrid Quantum-Classical Approach for Multi-Class Skin Disease Classification Using a 4-Qubit Model

Abstract: Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work ...