What is Continuous Integration?

In this video, we explore continuous integration and its benefits to development. Transcript: Continuous Integration is a software development practice that improves software quality, reduces validation time, and reduces time spent finding and addressing bugs? A team of developers regularly

Why use FPGAs for AI?

In our latest video we explain why there is so much excitement around using FPGAs for AI. Transcript: FPGAs have been around for decades but there has been renewed excitement around them thanks to AI, but why are we considering

What are FPGAs and why do they matter?

Check out our latest short video introduction to FPGAs: Transcript: “Field Programmable Gate Arrays or FPGAs for short are silicon chips that are made of reconfigurable blocks. In a normal chip, such as a CPU or a GPU, when we

What is BeetleboxCI? New video up.

New video is up! BeetleboxCI is a new continuous integration solution for FPGAs. Let’s see how it can help automate high performance solutions. We are currently in Early Access and are providing free access. Transcript: “BeetleboxCI is a solution for

BeetleboxCI is a new breakthrough in the automatio...

Today, Beetlebox announces the availability of BeetleboxCI in Early Access, the first Continuous Integration (CI) service for FPGA designs. BeetleboxCI is designed to meet the growing need for design productivity by accelerating time-to-market through powerful cloud automation. FPGA technology is

Proudly Announcing BeetleboxCI at Embedded World 2...

We are proudly announcing BeetleboxCI at Embedded World 2021! Join us at 11:50am (GMT+1) on 3rd March to learn more at our talk!.  BeetleboxCI is the next generation of development automation for intelligent Edge computing powered by FPGAs. Gain the

Bring the power of the Cloud to devices themselves...

As demands for ever more intelligent devices increases, developers have looked towards offloading Artificial Intelligence and other data analytics to the Cloud. Sending this information has led to large increases in bandwidth and processing costs. For many applications this has

Sign Language Recognition: Hand Object detection u...

For our introduction to neural networks on FPGAs, we used a variation on the MNIST dataset made for sign language recognition. It keeps the same 28×28 greyscale image style used by the MNIST dataset released in 1999. As we noted

Getting started with Computer Vision for Vitis 202...

Welcome to the 2020.1 version of getting started with computer vision on Vitis on Zynq. The release of 2020.1 saw significant changes from the old 2019.2 version and we thought it would be useful to update this tutorial to reflect

Improving Convolutional Neural Networks: The weakn...

Introduction In our previous tutorial series, we looked at sign language recognition using the sign language MNIST dataset based off the original 1999 MNIST dataset, which is considered the “Hello World” of machine learning. We did this because we wanted



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