Видео с ютуба Network Accelerators

Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators [Yu-Hsin Chen]

All about AI Accelerators: GPU, TPU, Dataflow, Near-Memory, Optical, Neuromorphic & more (w/ Author)

Объяснение аналоговых ускорителей ИИ

ISSCC2019: Intelligence on Silicon: From Deep Neural Network Accelerators to Brain-Mimicking AI-SoCs

Tech Talk: Energy-Efficient Convolutional NeuralNetwork Accelerators for Edge Intelligence

How to evaluate Deep Neural Network Accelerators

Spiker+ (E7 Functional Simulation) FPGA Spiking Neural Network accelerators for edge application

Reducing Off-chip memory access volume of Deep Neural Network Accelerators

Eugenio Culurciello - Deep Neural Network Accelerator

#HiPEAC21 / Paper Track #2: Neural Network Accelerators

Deep Learning Neural Network Acceleration at the Edge - Andrea Gallo, Linaro

Spiker+ (E6 Optimizer) FPGA Spiking Neural Network accelerators for edge application

Hardware Accelerator for Convolutional Neural Network

DATE-2023: Quantised Neural Network Accelerators for Low-Power IDS in Automotive Networks

Spiker+ (E5 Training) FPGA Spiking Neural Network accelerators for edge application

Design Considerations for Edge Neural Network Accelerators:An Industry Perspective - VLSID 2021

Lecture 4 - Training Neural Networks | Deep Learning on Computational Accelerators

Spiker+ (E4 Data Loaders) FPGA Spiking Neural Network accelerators for edge application

What Are AI Accelerators Explained At The Summit? - Conventions Network

SyNAPSE, a CMU-PT Exploratory Research Project on Synthesis of Network Accelerators