Algorithms

“Software-Defined Cameras for Edge Computing of the Future,” a Presentation from Arm

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Parag Beeraka, Head of the Smart Camera and Vision Business at Arm, presents the “Software-Defined Cameras for Edge Computing of the Future,” tutorial at the May 2021 Embedded Vision Summit. Computer-vision-enabled cameras have demonstrated the potential to bring compelling functionality to numerous applications. But to realize the full potential and assist with the growth of […]

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“Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach,” a Presentation from Qualcomm

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Felix Baum, Director of Product Management at Qualcomm, presents the “Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach” tutorial at the May 2021 Embedded Vision Summit. Qualcomm has invested extensively in its state-of-the-art Qualcomm Neural Network and software stack, including the Qualcomm Neural Processing SDK and the AI

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“Deploying Edge AI Solutions at Scale for the Internet of Things,” a Presentation from Qualcomm

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Megha Daga, Director of Product Management for AI Enablement at Qualcomm, presents the “Deploying Edge AI Solutions at Scale for the Internet of Things” tutorial at the May 2021 Embedded Vision Summit. There are many large-scale opportunities for edge AI solutions across a broad range of Internet of Things applications. But deploying the kinds of

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Algolux Selected to Mercedes Benz-led AI-SEE Project for Robust Perception in Low Visibility Conditions

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The 3-year project features a global consortium working towards Level 4 autonomy for mass-market vehicles Montreal, QC – July 21, 2021 – Algolux, a globally recognized computer vision software company, has been selected to participate in the AI-SEE project led by Mercedes Benz AG to ensure safe driving in poor visibility conditions. Recently named to

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“Efficient Video Perception Through AI,” a Presentation from Qualcomm

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Fatih Porikli, Senior Director of Technology at Qualcomm, presents the “Efficient Video Perception Through AI” tutorial at the May 2021 Embedded Vision Summit. Video data is abundant and being generated at ever-increasing rates. Analyzing video with AI can provide valuable insights and capabilities for many applications ranging from autonomous driving and smart cameras to smartphones

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“5G and AI Transforming the Next Generation of Robotics,” a Presentation from Qualcomm

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Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit. Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors.

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Case Study: Genetic Screening Using CNNs in PerceptiLabs

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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,

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“The Fearless AI Challenge: Can You Quickly Deploy AI Inference to Billions of Devices?,” a Presentation from Intel

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Raymond Lo, OpenVINO Edge AI Software Evangelist at Intel, presents the “Fearless AI Challenge: Can You Quickly Deploy AI Inference to Billions of Devices?” tutorial at the May 2021 Embedded Vision Summit. Have you ever been inspired by a new AI research paper and tried to replicate it using open source code, only to end

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End-to-end HiL Testing with aiSim to Maximize Coverage

AImotive, Algorithms, Automotive, Blog Posts, Tools /

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

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“Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect,” a Presentation from Intel

Algorithms, Intel, Processors, Sensors and Cameras, Software, Summit 2021, Tools, Videos /

Yury Gorbachev, Senior Principal Engineer at Intel, presents the “Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect” tutorial at the May 2021 Embedded Vision Summit. With OpenVINO, Intel started with a simple vision in mind: “How might we get the best deep learning performance with real-world solutions deployed into production?”

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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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