Blog Posts

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

Blog Posts, OpenFive /

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

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools /

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

Blog Posts, Industrial Vision (Computer Vision), Intel /

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

Automotive, Blog Posts, Gyrfalcon Technology, Processors /

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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Extending NVIDIA Performance Leadership with MLPerf Inference 1.0 Results

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Inference is where we interact with AI. Chat bots, digital assistants, recommendation engines, fraud protection services, and other applications that you use every day—all are powered by AI. Those deployed applications use inference to get you the

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The Train Has Left the Station for the Last Time

Blog Posts, ClearML, Software, Tools /

This blog post was originally published at ClearML’s website. It is reprinted here with the permission of ClearML. About ClearML, Allegro Trains, and what’s ahead for the MLOps space in 2021 We have three big announcements to our community today, and I wanted to talk to you about them: One, Allegro Trains is changing its

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What is Intelligent Photography? Part I: What is a Good Picture?

Algorithms, Blog Posts, Sensors and Cameras, Visidon /

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. The multitude of camera phones has made photography a part of our everyday lives. Pictures can be taken at almost any time or anywhere because people carry their mobile phones with them everywhere. Also, the quality of

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Robots with Insect Brains: The Payoff for Robotics and AI

Blog Posts, Opteran Technologies, Processors, Sensors and Cameras /

This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. Engineering and nature have often had a very close relationship, but as we look to solve some of the most fundamental challenges with robotics and artificial intelligence nature has an even more important role to

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The Story of CVflow

Ambarella, Blog Posts, Processors /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. How we leveraged our experience in image processing and compression to build a better AI accelerator (and made it easy-to-use in the process). Our path to developing an AI vision architecture started with a question: Is it

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