Earth Scientists have used machine learning for at least three decades and the applications span is large, from remote sensing to analysis of well log data, among many others. Although machine ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Artificial intelligence continues disrupting established technology categories, and image editing represents one of the ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...