Design a custom AI inference chip. That is the goal.

AI-powered ESP32 pentesting device with RF replay, RF jammer, IR control and BadUSB capabilities. Built for LilyGO T-Embed CC1101 & LilyGO T-Watch-S3

PMSG is face computer / wearable platform using Seeed Studio XIAO, This where you can find code to flash you device

A Go CLI tool to benchmark local LLMs via Ollama, measuring Time To First Token (TTFT) and throughput on your specific hardware.

🦞 ClawBox — Your private AI assistant on NVIDIA Jetson. Setup wizard, dashboard, and 580+ skills. Plug in, scan QR, done.

Make your own talking skull for halloween in 2 hours.

Garuda: CVXIF coprocessor optimizing batch-1 attention microkernels with 7.5-9× lower p99 latency. RISC-V INT8 MAC accelerator for transformer inference.

This is the official Arduino library for N2CMU (Neural Network Coprocessing Microcontroller Unit) available on Arduino Package Manager and PlatformIO.

Feedforward Neural Network Coprocessing Microcontroller Unit (CPC via UART) for STM32F103C8T6 Bluepill Development Board written purely in TinyGo.

T1C — Open-Source AI Accelerator Architecture. Like RISC-V did for CPUs, T1C does for AI chips. Fully open source, MIT Licensed.

SystemVerilog implementations of fundamental neural network structures, designed for synthesis on FPGAs.

Curated list of AI hardware — GPUs, NPUs, edge accelerators, compilers, mobile inference, and open-source projects from datacenter to ESP32

End-to-end ASIC SoC design and functional verification of a lightweight machine learning accelerator using SystemVerilog and UVM. Includes Python automation for test generation and result analysis. Built to simulate real-world ML silicon validation at scale.

Provide AI-driven penetration testing with portable hardware tools tailored for cybersecurity research and real-world testing scenarios.

The biggest computing revolution is coming. Quantum supremacy, brain-computer 10 Gbit/s thoughts, DNA as storage, light replacing electrons, chips that think like brains, and ambient intelligence everywhere. Computing 2040 — the future of thought & power.

AI that repairs itself from astroid dust. No proprietary Earth only elements. Open Source

Research datasets and experimental results from comprehensive ML benchmarking on AMD MI300X hardware. Contains raw telemetry, processed metrics, and reproducible analysis artifacts from both inference and training workloads, supporting research and comparative studies.

Hardware development guidelines and SOPs for AI Accelerator design and PPA analysis for NPU inference.

a mixed-intelligence world sharing platform

Mercy Cube v1.0 — Open, Real, Ready Stackable, 7-watt, offline Grok shard. 2025 physics, no hype.