IEEE

Real-Time Video Object Detection and Trajectory Prediction Using Deep Convolutional Neural Networks and Long Short-Term Memory Networks

Abstract: Real-time object detection and trajectory prediction are crucial tasks in intelligent video systems, particularly for applications such as autonomous driving and urban surveillance.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

To help small aerial robots navigate in the dark and other low-visibility environments, my colleagues and I developed an ultrasound-based perception system inspired by bat echolocation. However, ...
The Manila Times

Syntiant and Novi Space Successfully Demonstrate Low-Power AI Inference in Orbit

Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions from sensors to software, and Novi Space, Inc., a space technology and data analytics company, today announced the ...
Directions Magazine

Mapping Asbestos-cement Roofs Using Remote Sensing

The program will update the register of asbestos-cement rooftops on public and private properties throughout Italy through an ongoing, phased workflow that is refined as new imagery is acquired and ...
IEEE

Object Detection with Spiking Neural Networks on Event Videos for Driving Scenarios

Abstract: Event cameras excel in imaging objects under challenging lighting conditions with low latency. Their sparse and asynchronous event outputs closely align with the operational paradigm of ...
Live Science

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...
Scientific Research Publishing

Srivastava, U.C., et al. (2020) Intracranial Hemorrhage Detection Using Neural Network Based Methods with Federated Learning.

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...