Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
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 ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
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.
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...