My deep dive into deep learning was largely triggered by participating in a VLM competition hosted by REVAMP on the ...

A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with ...

A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out ...

In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we ...

Blur need no longer be a dead end. From GANscan and Blurryscope to his latest system, SCANIMUS, Michael Fanous explores how ...

Explore 5 powerful advances in satellite mapping, robotic sampling and crop insights, plus adoption barriers in 2026.

Umashanker Bandari's co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, real-time multi-object detection in traffic surveillance, addressing ...

Boost ROI by targeting services, computer vision, drug discovery, diagnostic labs and Asia-Pacific, supported by cloud integration and strategic partnershipsDublin, Oct. (GLOBE NEWSWIRE) -- "AI in ...

China has showcased artificial intelligence (AI) technology alongside 7,000-metre (23,000-feet) deep-sea trials of its upgraded Jiaolong submersible, highlighting the potential for similar systems to ...

Boost yield and ROI with AI-enabled defect classification, EUV-ready inspection, low false positives, predictive maintenance and fab-wide data integration.Dublin, Oct. (GLOBE NEWSWIRE) -- "Mask ...

AI workflow builders promise easy automation, but hidden costs, technical complexity and security risks challenge no-code claims in 2026.

Agendia presented data on an AI pathology model that predicts breast cancer recurrence risk from routine biopsy slides.