Energy-efficient visible-band intelligent vision processors demands both optical neural network (ONN) design and high-speed nanofabrication advances. Chinese researchers proposed a random-projection ...

Brunswick Corp's Simrad AutoCaptain is taking the scare out of docking and undocking recreational boats by doing the task ...

The system is operated by a Santa Monica-based artificial intelligence company that currently is defending itself against ...

The accelerating growth of electronic waste (e-waste), industrial byproducts, and natural resources depletion highlights the ...

Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions comprising sensors, processors and ML models, today announced the expansion of its ongoing collaboration with PRADCO ...

The brain uses visual cues to coordinate muscle movement. When motor commands and sensory feedback are out of alignment, ...

ZERO, Superb AI's proprietary Vision Foundation Model, takes first place overall in the CVPR 2026 Foundational Few-Shot ...

Searching for flood victims is a type of wilderness search and rescue that presents unique challenges. The goal for machine learning scientists is to rank which images have signs ...

For decades, basketball training technology has relied on repetition and pre-set programming modes. The standard machine ...

Sensor fusion combines multiple sensing modalities to improve environmental perception, obstacle avoidance, and safety in autonomous systems. AI-enabled vision and 3D depth sensing are revolutionizing ...

Abstract: Despite the widespread adoption of vision sensors in edge applications, such as surveillance, video transmission consumes substantial spectrum resources. Semantic communication (SC) offers a ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...