This blog post was originally published at ClearML’s website. It is reprinted here with the permission of ClearML. Get more out of your AI / MLIDE The positive effects of Artificial Intelligence (AI) in our everyday life are no longer disputable with our ever-increasing reliance on its applications. In the early days of the internet, […]
Five Things You Can Do with Jupyter and ClearML Read More +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. According to World Bank, there are roughly 750 million people in extreme poverty, those who barely survive on $1.90 USD a day or less. While this fact is staggering, and even shameful given the abundance of developed
How Can AI Help the Developing World? Read More +
This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. You are the data Why do we need data in the first place? To create a well-functioning automated driving software stack a recognition engine responsible for perceiving reality as best as possible is needed, and from which
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Are you wondering how to choose between Rolling shutter and Global shutter for your application? Then, read this article to better understand the differences between rolling shutter and global shutter and how to choose the
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. High-performance, energy-efficient AI compute is heightening autonomous vehicles’ detection capabilities. For autonomous vehicles, what’s on the surface matters. While humans are taught to avoid snap judgments, self-driving cars must be able to see, detect and act quickly
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. A step-by-step guide to implement real-time face detection on a Raspberry Pi running 24 frames per second. In this post, I will guide you through a step-by-step process of implementing real-time face detection on a Raspberry Pi, running
Real-time Face Detection on Raspberry Pi Read More +
This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the rise of Industrial IoT (IIoT) and Industry 4.0, ML is playing an ever-increasing role in enabling automation. With this in mind, we built an ML model that can classify defects on metal materials using image
Use Case: Defect Detection in Metal Surfaces Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research’s latest research and techniques for efficient video perception The saying goes that a picture is worth a thousand words, so what does that imply for video? Video, which is essentially a sequence of static
Making It Possible to Efficiently Analyze Video with AI Read More +
This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. Syntiant recently submitted its NDP120 into the MLPerf Tiny category for keyword spotting and our internal measurements pegged our solution at around 60 uJ/inferences at a 6ms latency. As a comparison, the one other published MCU-based benchmark
Is That Your Standby Power? Read More +
This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. The start-up years – how Opteran is laying the right technology foundations for success It’s been several months now since I’ve joined Opteran as Chairman and it has been exciting to get to grips with the
Opteran’s Journey to Complete Natural Intelligence for Machines Read More +
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