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Study suggests humans can detect objects before touching them

A recent study from researchers at Queen Mary University of London and University College London has drawn attention after ...
Scientific American

Could Symbolic AI Unlock Human-like Intelligence?

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Tech Xplore

Intelligent photodetectors 'sniff and seek' like retriever dogs to recognize materials directly from light spectra

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...
IEEE

Datasets, Machine Learning Recognition Performance, and Key Issues in Nursing Care Activity Recognition: A Systematic Review

Abstract: Countries experiencing rapid aging face severe caregiver shortages, necessitating effective workforce optimization. Nursing care activity recognition (NCAR) offers a promising solution by ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
GitHub

Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
IEEE

Machine Learning-Enabled Liquid Recognition Based on Multiple Microwave Complementary Split-Ring Resonators

Abstract: In this study, we propose a microwave sensor, which is composed of triple complementary split-ring resonators (CSRRs), for liquid recognition. Compared to a single CSRR (S-CSRR), the sensor ...