AI framework decodes how brain regions talk to one another

For decades, neuroscientists have been able to record which parts of the brain show increased electrical activity during a behavior, such as when we form a memory or make a decision. But scientists ...

A precise neuronal mechanism allows the brain to plan future routes to remembered goals

When humans and other animals move through familiar or unfamiliar environments, their brains rely on numerous intricate ...
TMCnet

WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine Learning Models

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring a federated training framework for hybrid ...

MicroCloud Hologram Inc. Launches Deep Spiking Quantum Neural Network Technology for Noisy Image Classification

SHENZHEN, China, July 30, 2026 (GLOBE NEWSWIRE) -- (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image ...
Healthcare in Europe

Two-step AI system detects brain tumors from MRI

Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and ...
Medical Device and Diagnostic Industry (MD+DI)

How Anatomically Informed AI Is Solving Medical Imaging's Data Scarcity Crisis

For life sciences executives evaluating digital health portfolios, anatomically informed architectures represent a defensible ...
Tech Times

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI demonstrates brain-faithful training on convolutional networks for the first time ...
IEEE

SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network

Abstract: As synthetic aperture radar (SAR) image change detection can continuously acquire target information under all weather conditions, it has been used in the past for various applications.
marktechpost

Understanding the Artificial Neural Networks ANNs

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Modeled after the human brain, ANNs enable machines to learn ...
marktechpost

Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures

CNNs are specialized deep neural networks for processing data with a grid-like topology, such as images. A CNN automatically detects the important features without any human supervision. They are ...