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Challenges of Running Deep Learning Computer Vision on Computationally Limited Devices

Clear vision using glasses (Photo by timJ on Unsplash) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Autonomous driving, facial recognition, traffic surveillance, person tracking, and object counting, all of these applications have one thing in common, Computer Vision (CV). Since the success of deep

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Beneficial AI: The More Advanced, The More Beneficial

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In many of our presentations, podcasts, and blogs, we’ve focused the conversation around “Beneficial AI.” Here at BrainChip, we consider applications that aim to improve the human or global condition to be beneficial. This could apply to

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What is Intelligent Photography? Part II: Image Enhancement Techniques

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the last post we discussed what is a good image and what does image quality mean. You can read the article here. In general, there are a few common criteria which usually determine the image quality: noise,

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Protocol- and Interface-Agnostic Universal D2D Controller for Chiplets and HPC

This blog post was originally published at OpenFive’s website. It is reprinted here with the permission of OpenFive. Demand for die-to-die and chip-to-chip interfaces has been growing steadily in the past few years due to new applications in cloud/data centers, AI (training and edge applications), and High-Performance Computing (HPC). The demand is driven by the requirements

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TVM Open Source Compiler Now Includes Initial Support for Qualcomm Hexagon DSP

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies contributes Hexagon DSP improvements to the open source Apache TVM community to scale AI AI is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, to make AI truly ubiquitous, it needs

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Edge Learning is the Key to Increasing Automation Capabilities in Manufacturing

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. In many ways, ours is a different world than it was even a year or two ago. For manufacturers, these differences are all too often highlighted by the need to perform at the same to higher levels.

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Autonomous Vehicles Drive AI Chip Innovation

The technology in our cars is undergoing a radically dynamic transformation. Software monitors the engine, plays the music, alerts the driver to oncoming traffic hazards and provides so many more functions. However, the old adage that software is slow and chips are fast is supremely relevant as vehicles become autonomous. No room for error exists

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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