Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Engineers rely on computational tools to develop new energy storage technologies, which are critical for capitalizing on ...

Engineers at the University of Wisconsin-Madison uncovered a critical flaw in how lunar and Martian rovers are tested on Earth. Simulations revealed that test results have been misleading for ...

A comprehensive research platform for Physics-Informed Neural Networks (PINNs) featuring 10+ applications including forward/inverse problems, data assimilation, and scientific discovery with ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

An Entire Hidden Layer of Reality May Be Lurking Just Below the Standard Model of Physics The discovery of the Higgs boson hasn’t led to an explosion of new physics as many predicted.

The discovery of the Higgs boson hasn’t led to a explosion of new physics. Now, some scientists think that hidden physics may be hiding beyond LHC’s view.

visualization machine-learning deep-learning neural-network torch pytorch artificial-intelligence architecture-visualization architecture-diagram visualtorch Updated 3 weeks ago Python ...