Chameleon: A Multiplier-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data

This is my senior project, we aim to design a Low-cost-AI-Accelerator based on Google's Tensor Processing Unit.

⚡ A seamless integration of HuggingFace Transformers & Diffusers with RBLN SDK for efficient inference on RBLN NPUs.

Rapid prototyping framework for deploying and evaluating ML models on hardware

Curated Edge AI resources for computer vision & audio: hardware, frameworks, benchmarks, literature, and communities (excluding mobile).

A QEMU-based PCIe device driver and userspace framework that simulates an AI accelerator with DMA and IRQ capabilities for educational purposes.

AS501 AI Semiconductor Design Basics & Practice Final Project

A Kubernetes Device Plugin for Hailo AI accelerators, enabling seamless scheduling of AI inference workloads on edge devices like the Raspberry Pi AI HAT+.

Double LLM inference speed of AX650N (M5Stack Module LLM) on CM3588 NAS. PCIe optimization toolkit with IRQ affinity + CPU governor tuning.

This project implements AXI-based matrix multiply accelerator.

FORCE AI: Fast Optimization for Resource-Constrained Efficient AI Inference

INT8 Systolic-Array AI Accelerator on Zynq SoC with HW-SW Co-Design and Roofline Performance Analysis

COIA-Ω v4.0 — Production-Grade Photonic Compute Platform. 12W monolithic photonic IC targeting >10× energy efficiency of modern GPUs.

N*N systolic array multiplication using multiply and accumulate processing element

Kubernetes Device Plugin for Tenstorrent AI accelerators (Grayskull, Wormhole, BlackHole)

Open architecture for rack-scale AI inference at 10x lower cost. FPGA memory bridge: 600GB DDR5 per GPU via Bank Switching. Prior Art - Feb 22, 2026.

Open-source AGI accelerator silicon roadmap — 2026-2027 foundry-realistic. Ends the scaling war.

N-Radix: Open-source wavelength-division ternary optical AI accelerator on lithium niobate