This blog post was originally published at ClearML’s website. It is reprinted here with the permission of ClearML. Audio classification with torchaudio and ClearML Audio signals are all around us. As such, there is an increasing interest in audio classification for various scenarios, from fire alarm detection for hearing impaired people, through engine sound analysis […]
Audio Classification with PyTorch’s Ecosystem Tools Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Fueled by data, ML models are the mathematical engines of AI, expressions of algorithms that find patterns and make predictions faster than a human can. When you shop for a car, the first question is what model
What Is a Machine Learning Model? Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Flight is now ready to transform industries with premium computing, camera, computer vision, and connectivity features. Qualcomm Technologies is a leader in inventing breakthroughs that power robotics and drone platforms. We help people connect and communicate
Qualcomm Flight RB5 5G Platform — The World’s First 5G- and AI-enabled Drone Platform Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Don’t be overwhelmed, because adding face detection to your applications has never been so easy! A lot of the times, face detection is not the primary focus of the application but is an important component and many
Integrate Face Detection in Your Application Read More +
This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. Today we are excited to announce the launch of Edge Impulse’s new auto machine learning tool, the EON Tuner! The EON Tuner helps you find and select the best embedded machine learning model for your
Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Both technologies are used for object detection in autonomous vehicles, but how do they compare? Autonomous vehicles typically deploy multiple sensor systems for environmental perception: LiDAR, radar, and camera modules being the most popular. These sensor systems
A Closer Look at LiDAR and Stereovision Read More +
Advances in Edge Computing Must Innovate for Autonomous Vehicles to Realize Their Potential Large numbers of sensors, massive amounts of data, ever-increasing computing power, real-time operation and security concerns required for autonomous vehicles are driving the core of computation from the cloud to the edge of the network. Autonomous vehicles are constantly sensing and sending
AI Advancements Driving Autonomous Vehicle Ubiquity Read More +
This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. One group of scientists leveraging ML is the Buchser lab at Washington University in Saint Louis School of Medicine in the Department of Genetics. There, Dr. Buchser and his team are working in functional genomics, High-Throughput Screening,
Case Study: Genetic Screening Using CNNs in PerceptiLabs Read More +
This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. The aiSim team adapted the Hardware-In-the-Loop testing approach with a unique spin on the concept that allows for testing complete automated driving systems with live simulated sensor data without any prerecorded footage. In this post, we will
End-to-end HiL Testing with aiSim to Maximize Coverage Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Though melanoma only accounts for roughly 1% of all skin
Building Real-time Dermatology Classification with NVIDIA Clara AGX Read More +
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