New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

Learning to identify new objects reshapes parts of the brain, research finds

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...
The New Voice of Ukraine on MSN

UK researcher develops drone system to detect plastic landmines

Modern anti-personnel mines are small and often made with plastic casings that standard metal detectors cannot detect.
Tech Xplore

Drone-mounted camera can detect plastic landmines without an internet connection

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

What are plastic landmines, and can AI help detect it? Researchers develop AI method to identify hidden explosives using drones

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
IEEE

IoT Network Anomaly Detection in Smart Homes Using Machine Learning

Abstract: In this modern age of technology, the Internet of Things has covered all aspects of life including smart situations, smart homes, and smart spaces. Smart homes have a large number of IoT ...
Nature

Underwater Object Detection Algorithms Using Deep Learning Techniques

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...
techtimes

How AI-Powered Smart Home Security Cameras Detect and Prevent Intrusions in Real Time

AI security cameras are transforming modern smart home security by analyzing live video feeds in real time to detect unusual activity with high accuracy. Using advanced convolutional neural networks, ...
news.ucsc

WiFi signals can measure heart rate—no wearables needed

Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
GitHub

TensorFlow Object Counting API

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...
IEEE

Estimating Invisible Passenger Count Using CCTV Footage: An Approach Combining Object Detection Models and Machine Learning

Abstract: Accurate passenger counting is essential for managing congestion in railway vehicles. Although onboard CCTV footage can be used for this purpose, limited camera views often cause occlusion, ...
GitHub

OSMDeepOD - OSM and Deep Learning based Object Detection from Aerial Imagery

OSMDeepOD is a project about object detection from aerial imagery using open data from OpenStreetMap (OSM). The project uses the open source software library TensorFlow, with a retrained Inception V3 ...