As impressively capable as AI systems are these days, teaching machines to perform various tasks, whether its translating speech in real time or accurately differentiating between chihuahuas and ...

There is nothing more important for artificial intelligence initiatives than acquiring contextually labeled, high-quality training data and developing a reliable data pipeline. Here’s how to get there ...

The adoption of AI technologies in businesses increased from 48% to 72% from 2018 to 2019, enabling industries to increase efficiency, streamline processes, and reduce costs. But training these AI ...

Many of today's businesses have recognized the benefits of AI. McKinsey reports that computer vision ranks second among all other AI solutions in terms of application, and Statista research predicts ...

A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI ...

With new funding, simmetry.ai plans to develop a scalable platform for generating synthetic training data, aimed at helping ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision (CV) tasks. DINOv2 is pretrained on a curated dataset of 142M images and can be used as a backbone for several tasks, ...

CTO and co-founder, Mashgin. Powered by AI and computer vision, Mashgin is the world's fastest self-checkout system. Just what is computer vision? Even if you’ve heard the term previously, chances are ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.