The study identifies persistent challenges that limit the adoption and scalability of AI- and IoT-enabled assistive systems.

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Humans can detect buried objects without touching them, sensing faint pressure ripples in sand. Scientists are calling this ...

Whether it's traditional machine learning (ML) or its trendier generative cousin, artificial intelligence (AI) is appearing in a range of streaming ad tech use cases for increasing under-the-hood ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

The patent reinforces Rail Vision’s global IP protection building on previous approvals in regions including the United States, Japan, and India Ra’anana, Israel, Dec. 15, 2025 (GLOBE NEWSWIRE) -- ...

Backing its low-cost positioning, the board relies on a fully open-source toolchain. Also, while not official yet, Akshar ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off.

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.