A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

Valve's Gabe Newell is secretly cofounding Starfish Neuroscience to launch a groundbreaking brain chip that could reshape tech by late 2025.

Valve founder Gabe Newell’s neural chip company Starfish Neuroscience announced it’s developing a custom chip designed for next-generation, minimally invasive brain-computer interfaces—and ...

The Chinese start-up used several technological tricks, including a method called “mixture of experts,” to significantly reduce the cost of building the technology.

Breakthrough in AI computation: New photonic chip technology processes deep neural networks using light, achieving 96% accuracy during training with minimal energy consumption.

It's an AI-based upscaling solution that utilizes Recurrent Neural Networks (RNN), but to enable PSSR, Sony first had to create what it calls a "fully fused network." ...

This is because neural networks require extensive training for their inputs (such as pixels in an image) to produce the appropriate output (such as a description of the image).

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.

The new chip, called the MLSoC Modalix, supports various kinds of AI models, including large language models such as OpenAI’s GPT family, convolutional neural networks, transformer models and more.

Dopamine is known to have the strongest effect on brain neural signals, but the research team's newly developed "optical neural chip-based multiple brain signal monitoring technology" shows that ...

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine ...