The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Few-shot object detection addresses the challenge of recognising and localising novel object categories from only a handful of annotated examples. Traditional deep-learning detectors demand extensive ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

Object detection is the task of identifying and localising instances of predefined object classes within images or video frames. Early approaches relied on handcrafted features and sliding-window ...

Gokul NA, co-founder of vision systems startup CynLr, was among a curated group of machine vision experts invited to be interviewed for Machine Design’s week of dedicated content on machine vision ...

NA explained that traditional manufacturing setups are limited by their tailored to specific product lines. CynLr hopes to address this global challenge through product-agnostic robotic assembly lines ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Today, Microsoft’s Az u re AI team dropped ...