Vascular sites have distinct susceptibility to disease. Here, through single cell epigenomic profiling and predictive machine ...

Arm's answer to the NPU hype was to skip it entirely, instead focusing on improving AI targeted at the CPU and letting ...

AI apps and models evolve rapidly, creating new optimization needs. Nvidia now unveils the Rubin CPX accelerator to target ...

In the ever-evolving field of artificial neural networks and learning systems, complex-valued neural networks (CVNNs) have become a cornerstone, achieving exceptional performance in image processing ...

Geoffrey Hinton is sounding the alarm about the risks of artificial intelligence. He believes AI could become a superintelligent entity that might threaten humanity. Known as the "Godfather of AI," ...

Generalize Hopfield-like neural networks using a deformed maximum entropy principle. Exhibit explosive transitions, multi-stability, and memory capacity enhancements. Are analytically tractable via ...

Finnegan’s Lynn Parker Dupree and Baker McKenzie’s Lothar Determann discuss a wave of new state laws regarding brainwaves tracked by wearable devices, or data derived from the activity of a person’s ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of southern France, Spain ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Real-time visualization of neural network training in web applications presents distinct challenges. Existing desktop solutions burden the user's hardware, requiring powerful machines and local model ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...