Particle detectors play a crucial role in our understanding of the fundamental building blocks of the universe. They allow ...

Cryptocurrency markets have already reacted to the announcement of 'Agentic Object Detection' last Thursday. Here's what it might impact next.

The prototype camera uses optics for computing, reducing power consumption and enabling the camera to identify objects at the speed of light. Image: Ilya Chugunov, Princeton University Join Imaging ...

Researchers have created a compact camera where the lens is replaced by engineered optics that can identify objects at ...

Their device also represents a new approach to the field of computer vision, a type of artificial intelligence that allows computers to recognize objects in images and video. Laye ...

The Microsoft piece also goes over various flavors of distillation, including response-based distillation, feature-based ...

It uses a compound scaling method to optimise both the network depth and resolution. RetinaNet is a one-stage object detection model that addresses the class imbalance problem using a focal loss ...

Its detection is challenging ... We designed a two-stage segmentation strategy based on a convolutional neural network (CNN). At the first stage, the two carotid arteries were segmented using a ...

SoftOrbits, founded by Eugene Ustinenkov in 2006, has recently integrated neural networks into its software ... old photos and removing unwanted objects. Users often highlight how easy the ...

SHENZHEN, China, Jan. 21, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep ...

The core innovation of this technology lies in the design and implementation of the Quantum Convolutional Neural Network (QCNN). The QCNN not only fully replicates the output of classical CNNs but ...