A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

More information: Yi Teng et al, Solving the fractional quantum Hall problem with self-attention neural network, Physical Review B (2025). DOI: 10.1103/PhysRevB.111.205117.

In order to infer properties of solid materials, details of the crystal structure are essential. In graph neural networks (GNNs), the geometrical information, i.e., unit cell and atomic basis, can ...

The final layer of the decoder features a tanh activation function and has an output size of (8000000), which corresponds to the flattened three-dimensional image data. This symmetry between the ...

In a paper published in National Science Review, a Chinese team of scientists systematically summarize the key technical advancements in Neural Architecture Search (NAS), delving into the core ...

Each thin blue arrow represents a neural weight, which is just a number, typically between about -2 and +2. Weights are sometimes called trainable parameters. The small red arrows are special weights ...

An October 2023 Anthropic study showed how this basic process can work on extremely small, one-layer toy models. The company's new paper scales that up immensely, identifying tens of millions of ...

It’s a long way from pedal bikes to Formula 1. But that’s precisely the quantum leap that AI-based startup Neural Concept and its co-founder and CEO, Pierre Baqué, made in just six years.