If AI systems can do their own AI research, they can come up with superior AI architectures and methods. Via a simple ...
Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now ...
Researchers at the University of Virginia School of Engineering and Applied Science developed an AI-powered system that ...
Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying ...
Imagine being a passenger in a self-driving car as the vehicle starts veering off the road. It's not a faulty sensor causing ...
The latest FSR 3.1 release this year brought significantly improved stability over previous versions. However, there's still ...
The integration of artificial neural networks (ANNs) into predictive analytics is transforming the way industries forecast trends and make data-driven decisions ...
AMD appears to have plans to use a neural network to perform denoising and reconstruct scene details. It's not yet available, ...
Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...
The innovative multi-task neural network achieves simultaneous depth estimation and soft-edge detection in a single network, producing clear 3D reconstructed images of relief-type cultural heritage ...
Artificial intelligence has the potential to seriously harm workers — not because of something inherent to the technology, ...
Tenstorrent designs AI graph processors, high-performance RISC-V CPUs and configurable chiplets. They combine hardware and software to deliver scalable, energy-efficient computing for AI and machine ...