Canada

Reliable AI sensor fusion for real world missions

The Department of National Defence and the Canadian Armed Forces (DND/CAF) are seeking innovative Artificial Intelligence (AI) solutions that embed compliance-by-design into multi-sensor, multi-domain ...
decrypt

Perplexity Wants Your Laptop to Do Part of the AI Work—So It Doesn't Have To

Perplexity announced "hybrid agentic inference" at Computex 2026, a system that automatically splits AI workloads between a user's local device and cloud-based frontier models—no manual configuration ...
IEEE

Computer Vision-Based Classification of Manual Wheelchair Propulsion Patterns

Abstract: Manual wheelchair users (MWC) are at high risk of upper limb overuse injuries due to inefficient propulsion techniques. While clinical guidelines recommend the semicircular (SC) propulsion ...
Medicine Buffalo

Data Risk Classification Policy

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...
Sports Illustrated

Georgia High School Football All-Classification Rankings: October 27, 2025

Robin Erickson has been covering high school sports since 2023 after graduating from Carroll College with a degree in Health Sciences. He began working in data operations at High School On SI before ...
Computer Weekly

Data classification: What, why and who provides it

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...
Frontiers

EEGGAN-Net: enhancing EEG signal classification through data augmentation

Emerging brain-computer interface (BCI) technology holds promising potential to enhance the quality of life for individuals with disabilities. Nevertheless, the constrained accuracy of ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...
LinkedIn

K-Nearest Neighbors (KNN) Algorithm for Classification: Real-world Applications and Examples

K-Nearest Neighbors (KNN) is a simple yet effective supervised machine learning algorithm used for both regression and classification tasks. The algorithm works by finding the K nearest data points in ...
GitHub

moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud

moSCminer is a web-based platform with cloud computing for cell subtype identification using the single-cell multi-omics datasets. For multi-omics integration, each omics dataset will be converted to ...
IEEE

An Auxiliary Synthesis Framework for Enhancing EEG-Based Classification With Limited Data

Abstract: While deep learning algorithms significantly improves the decoding performance of brain-computer interface (BCI) based on electroencephalogram (EEG) signals, the performance relies on a ...