A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

AI and machine learning advancements have transformed captioning by enabling adaptive learning and multimodal analysis. For ...

Their ability to point out the perceived fracture location makes object detection and segmentation results easily ... factors pertaining to everyday clinical workflow were not systematically defined ...

This project detects and recognizes objects in real-time using deep learning (MobileNet SSD + TensorFlow). Designed to assist visually impaired users and improve video surveillance.

This project aims to design and compare object detection models trained from scratch and using transfer learning. We applied YOLOv5 and Faster R-CNN on two everyday objects: Axe deodorant and Mouse.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images ...

The namesake solution — developed by AI industry veterans — tracks, manages, and automates the entire deep learning workflow, from developing and training, to deploying and optimizing models at scale.

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...