Neural pathways reveal a push-pull system for coordinating goal-directed behavior in mice

Most of the tasks that humans complete daily entail carefully coordinating movements and tracking progress made toward a ...

Mapping the hidden rules of a key immune sensor

The immune system depends on molecular alarms that detect danger inside cells. One of these alarms is STING, short for ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
News-Medical.Net

What Are Brain-Computer Interfaces and How Do They Treat Neurological Disorders?

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...
Frontiers

How humans and machines make meaning: Exploring neural and computational mechanisms of multimodal language

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...

WiMi Implements a Quantum Kernel Convolution (QKC) Scheme Capable of Running on Current Noisy Intermediate-Scale Quantum (NISQ) Devices

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the release of a core technology for hybrid Quantum ...
The New York Times

Europe Accuses TikTok of ‘Addictive Design’ and Pushes for Change

European Union regulators said the app’s infinite scroll and personalized algorithm led to “compulsive” behavior, especially among children. By Adam Satariano Reporting from London TikTok’s endless ...
IEEE

Multiscale Convolutional Neural Network With Self-Attention Mechanism and Soft Thresholding for Industrial Process Fault Diagnosis

Abstract: This article proposes a multiscale convolutional neural network (MSCNN)-based fault diagnosis method (AM-MAST) using a self-attention mechanism and soft thresholding. It aims to improve the ...