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Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.
The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
Whether it's powering your phone’s autocorrect or helping someone create a new recipe with a few words, artificial intelligence (AI) is everywhere right now. But if you're still nodding along when ...
Blending logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence. Now, however, the computer-science community is pushing hard ...
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