In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

Researchers from OpenAI and Google have summarized several advantages of the Agentic Deep Researcher: (1) Comprehensive ...

As retail organizations navigate shifting consumer expectations and supply chain complexities, the role of data and ...

Dubbed CRAK, the new hybrid deep learning model combines a convolution layer, followed by a recurrent layer, an attention mechanism, and a Kolmogorov–Arnold Network (KAN).

Practical fusion power that can provide cheap, clean energy could be a step closer thanks to artificial intelligence.

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

Abstract We introduce Bayesian code diffusion, a new deep learning program optimization strategy devised to accelerate the auto-tuning process of deep ...

This innovative deep Gaussian process-based Bayesian model analyzes hematoxylin and eosin-stained whole-slide images in weakly-supervised learning to predict microsatellite status in gastric and ...

Google released its first publicly available "multi-agent" AI system, which uses more computational resources, but produces ...