At the Samsung Solve for Tomorrow reunion, young innovators showcased solutions like Tushar Shaw's AI glasses for the ...

Editor’s Note: June 26, 2026: We've checked to ensure that our recommendations are available and competitively priced. With the summer months here, we’ve added a new pick for underwater metal ...

AI humanizers promise to make AI-generated text sound more natural. Learn how they work, why they're popular, and whether ...

Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...

AI offers a different operating model for agriculture. Instead of relying only on periodic human observation or ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

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 ...

Abstract: Computer vision systems have become very popular among modern IoT applications, autonomous driving, and security systems. The new generation of wireless networks offers high speeds and ...

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...

Deep learning has revolutionised object detection by enabling end-to-end trainable systems that learn both feature representation and localisation. Early two-stage detectors extracted region proposals ...