Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to a brain-computer interface, Elon Musk’s Neuralink isn’t ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

The University of Science has revealed it has developed a binarised neural network (BNN) scheme using ternary gradients to address the computational challenges of internet of things (IoT) edge devices ...