Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Designing Reactive AI With Spiking Neural Nets

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Open-source software sheds light on cancer's hidden genetic networks

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

Neural DSP models John Mayer’s entire amp and effects rig—and it sounds great

So do we really need one amp sim package? Neural DSP thinks we do, because the Finnish company just dropped a major new ...

'Listening in' on the brain's hidden language: Engineered protein detects the faintest incoming signals

Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...