Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now ...

Artificial intelligence (AI) has permeated our lives. Our phones unlock at the sight of our faces. We can have entire text ...

If AI systems can do their own AI research, they can come up with superior AI architectures and methods. Via a simple ...

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 ...

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 human brain begins learning through spontaneous random activities even before it receives sensory information from the ...

In a paper published in the journal Manufacturing Letters, researchers addressed limitations in machine learning (ML) for ...

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 ...