analog-computing

Analog Robustness CI — will your AI model survive analog hardware? Break-even economics + noise/drift/ADC robustness simulation for AIMC and photonic accelerators.

Domain-specific language for hybrid analog-digital programming, designed to bring structure and abstraction to analog computation and hybrid systems.

End-to-end optical neural network: trained MNIST weights → dithered binary photomask (GDSII) → 3D ray-traced optical MVM → validation. Binary quantization costs only 0.42pp accuracy (89.9% → 89.5%).

HeteroCore component: analog crossbar noise, precision, and drift simulator

面向模拟存算一体硬件的 AI 二阶训练研究框架，通过 K-FAC、矩阵自由 GGN 和残差门控 Krylov 校正，在避免显式构造雅可比矩阵的同时，将大规模曲率求解映射到非理想模拟阵列。

Browser-based oscilloscope and MATLAB workflow for teaching reconstructed-force vibration accelerance with The Analog Thing.

Hardware-aware S4D state-space models on simulated analog memristor crossbars: a reproducible neuromorphic in-memory computing co-design study (PyTorch, CPU-only).

Non-silicon analog photonic computing architecture using closed-loop oscillating fluidic cores.

Kernel experimental de computación por sincronización de fase, geometría toroidal y dinámica armónica discreta en base 60.**

Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. The company researches dynamical systems such as coupled Kuramoto oscillators as a computing substrate that maps onto analog and physical hardware, pointing toward on the order of 1000x lower energy for AI than today's digital accelerators.

Open-source analog-AI circuit research twin with differential conductance encoding, managed ngspice, tolerance analysis, and reproducible evidence.

Power distribution board for analog computer rack modules

The Square Tooth Generator is designed to deliver maximum power at all periods of every revolution of the motor. The motor is great for hydro electrics, wind, gas, and physical work.

Aspinity — independent third-party profile of a public API surface, by API Evangelist. Aspinity is a Pittsburgh, Pennsylvania semiconductor company that develops analog machine learning (AnalogML) technology combining ultra-low-power analog signal processing with machine learning for always-on, battery-operated edge AI event detection and classific

3-Axis MLP-Mixer Flow Matching Policy for robotic manipulation

Aetherium OS v7.1: Analog computing framework based on Gross-Pitaevskii-Poisson fluids. Features Madelung regularisation of Navier-Stokes (Bohm potential), Einstein-Cartan torsion (Big Bounce), and SU(2) Fibonacci anyon braiding. TRL 3-4 PyTorch simulation.

机械计算玩具。算盘、滑尺、差分机、机械积分器、手摇计算器，用网页动画展示“计算是怎么被机械结构做出来的”。

HeteroCore hub: ONNX compiler and analytical cost model for mixed analog-digital AI inference

Лаборатория и библиотека симуляций аналоговых и нейроморфных процессоров. Чертежи, математические модели и Python-скрипты нелинейных вычислительных ядер на транзисторах, мемристорах и ОУ. База прототипов для будущего физического воплощения в железе (In-Materio Physical Computing) вне архитектуры Фон Неймана.