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 ...
Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...
The 2026 International Production & Processing Expo (IPPE) is about to open its doors, and Shanghai Xiashu Intelligent ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
The year 2022 has been declared by Pedro Sanchez, President of Spain, as the Year of Ramon y Cajal on the 170th anniversary ...
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