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‘AI scientists’ are exploding across disciplines. Will they morph what gets researched?

The Infinite Loop by Nebius reports that AI scientists are rapidly developing across disciplines, prompting concerns over ...
IEEE

Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design

Abstract: Deep neural networks (DNNs) training can be difficult due to vanishing and exploding gradients during weight optimization through backpropagation. To address this problem, we propose a ...
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Playing with a colorful ice cream shaped pop it in soft gradient colors

This video shows an ice cream-shaped pop it toy designed with soft pastel rainbow colors and smooth bubble textures. The pressing motion creates a calming and visually satisfying effect while ...
IEEE

An Optimized Training Method for GAN-Based Hyperspectral Image Classification

Abstract: This letter explores how to apply a generative adversarial network (GAN) to the classification of hyperspectral images (HSIs) to obtain a smooth training process and better classification ...