Scalable HW-Aware Training for Analog In-Memory Computing
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Updated
Mar 24, 2026 - Python
Scalable HW-Aware Training for Analog In-Memory Computing
Unsorted Playground for Machine Learning, Reinforcement Learning and other AI Experiments
Optimization solver backend for analog optical computer
A Recursive Ontological Framework for Cognitive Design, Neurodivergence Modeling, AI Co-Development, and "Structural AI"
Applying IBM's Analog Hardware Acceleration Kit for in-memory computing design — neural network training on analog devices
Exploring super-convergence techniques for analog in-memory computing — accelerating neural network training
IHP26a TinyTapeout implementation of a RISC-V CPU with an integrated SRAM-based compute-in-memory (CIM) accelerator for performing efficient analog matrix multiplications.
RISC-V CPU with an integrated SRAM-based compute-in-memory (CIM) accelerator for performing efficient analog matrix multiplications.
A math extension module providing the absolute and square-root function of the input
This repository showcases projects carried out in the "Computer Tools for Electrical Engineers" course, focusing on MATLAB and PSPICE applications in Electrical Engineering.
Ripple filter for the power supply of a Analog Computer.
Analog computer module to transform polar- into cartesian-coordinates
Analog Computing for Signal Processing and Communications - Part I: Computing With Microwave Networks
MIMO Systems Aided by Microwave Linear Analog Computers: Capacity-Achieving Architectures with Reduced Circuit Complexity
Power distribution board for analog computer rack modules
Analog Computing for Signal Processing and Communications - Part II: Toward Gigantic MIMO Beamforming
A programming language for wave-based phononic processors. Computation as resonance, memory as sustained oscillation, control flow as phase gating—designed from acoustic physics, not transistor assumptions.
Reproducible microbenchmark for modeling domain crossing energy in heterogeneous compute systems.
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