Our paper on Denoising Thermodynamic Models is now published in Nature's npj Unconventional Computing. We demonstrate thermodynamic hardware built on the primitives validated in X0 could unlock genera

Extropic Develops Thermodynamic Computing Hardware for Energy-Efficient AI Processing

Extropic is developing thermodynamic computing hardware designed to be significantly more energy efficient than GPUs for AI workloads. The c

Thermodynamic neurons enable interpretable rule-based machine learning through heat flow

This paper presents a novel machine learning architecture that uses thermodynamic neurons — autonomous quantum thermal machines — to impleme

Un-0: An Image Generator Powered by Coupled Oscillators and Physical Computing

The article introduces Un-0, an image generator built on a simulated system of coupled oscillators — a fundamentally different computing app

Un-0: An Image Generator Powered by Coupled Oscillators and Physical Computing

The article introduces Un-0, an image generator built on a simulated system of coupled oscillators — a fundamentally different computing app

GPEmu: A GPU Emulator for Rapid, Low-Cost Deep Learning Prototyping [pdf]

Researchers build million-p-bit probabilistic computer by networking FPGAs, breaking single-chip limit

Researchers have built a programmable probabilistic computer using networked FPGAs that achieves one million p-bits (probabilistic bits), br

Experimental Sampling of LLaMA Language Model at Negative Temperature Yields Bizarre Results

This article explores an experimental approach to sampling language models (specifically LLaMA) at negative temperatures, inspired by statis