Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
Semiconductor Engineering

Multi-Core Architecture Optimized For Time-Predictable Neural Network Inference (FZI, KIT)

A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...
Frontiers

A multi-domain graph convolutional network-based prediction model for personalized motor imagery action

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...
Seeking Alpha

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

BEIJING, Oct. 20, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 20, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
Frontiers

Development of a convolutional neural network-based AI-assisted multi-task colonoscopy withdrawal quality control system (with video)

Background Colonoscopy is a crucial method for the screening and diagnosis of colorectal cancer, with the withdrawal phase directly impacting the adequacy of mucosal inspection and the detection rate ...
FOX13 Memphis

Memphis Safe Task Force has multiple mobile command units

MEMPHIS, Tenn. - The multi-agency task force is using several mobile command units to direct forces to fight crime in the Bluff City. One of the Memphis Safe Task Force staging sites is located on ...
The New York Times

Cache of Devices Capable of Crashing Cell Network Is Found Near U.N.

The Secret Service discovered more than 100,000 SIM cards and 300 servers, which could disable cellular towers or be used to conduct surveillance. By Eileen Sullivan Reporting from Washington The ...
Scientific Research Publishing

Ruder, S. (2017) An Overview of Multi-Task Learning in Deep Neural Networks. arXiv: 1706.05098.

ABSTRACT: Accurately predicting medication response and disease severity is essential for advancing personalized treatment strategies, especially in complex neuropsychiatric conditions. In this study, ...
IEEE

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...