Electronics For You

Sparse AI Boosts FPGA Inference

Can sparse neural networks make edge AI faster without increasing power consumption? An FPGA toolkit aims to prove they can.

Microchip Advances Neural Network Implementation with VectorBlox™ 3.0 Accelerator SDK

Latest release leverages sparse neural networks to improve performance and enable more efficient edge AI on PolarFire® FPGAs ...
Electropages

Neural network implementation with software development kit

To better manage these challenges, Microchip Technology has released the VectorBlox 3.0 Accelerator SDK to help simplify FPGA‑based AI implementation and speed time‑to‑market. Offered to developers ...
New Electronics

Microchip releases VectorBlox 3.0 SDK to simplify FPGA-based AI deployment

Microchip Technology has launched the VectorBlox 3.0 Accelerator Software Development Kit (SDK). The SDK introduces new tools ...
Microwaves & RF

SDK Helps Simplify FPGA-Based AI Implementation

Microchip's VectorBlox 3.0 Accelerator SDK leverages sparse neural networks to improve performance and efficiency of edge AI ...
Electronics Weekly

VectorBlox SDK supports AI inference in power-constrained edge AI apps

Available to developers free of charge, the SDK – and associated CoreVectorBlox IP – aids deployment of convolutional neural ...
Semiconductor Engineering

CNN Hardware Architecture With Weights Generator Module That Alleviates Impact Of The Memory Wall

A technical paper titled “Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation” was published by researchers at Samsung AI Center and University of Cambridge. “The ...

Microchip Technology Inc.: Microchip Advances Neural Network Implementation with VectorBlox 3.0 Accelerator SDK

Deploying AI inference in power-constrained and mission-critical environments such as aerospace and defense systems requires solutions that balance ...