How AI-powered tools like ImgUpscaler are transforming blurry, low-quality photos into sharp, professional-grade ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

An image-only artificial intelligence (AI) model for predicting the five-year risk of breast cancer provided stronger and more precise risk stratification than breast density assessment, according to ...

Autonomous weeding robots are modernising agriculture by using AI vision to identify and remove weeds with speed and consistency.

Learn how DeepSeek OCR redefines text processing, enabling AI to handle long-context challenges with unmatched efficiency.

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex AI calculations by sending laser light through optical elements once, ...

Bump scaling is pushing defect inspection to the limit. What comes next and why it matters.

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Sen4x, developed by ADB, GeoVille, and ETH Zürich, combines single- and multi-image super-resolution to transform freely available Sentinel-2 imagery into sharper, 2.5-meter data suitable for real ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...

Kapoor, J. (2025) Advantages of Hyperspectral Remote Sensing for Harmful Algal Bloom Detection. Journal of Geoscience and ...