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

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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A Brave New MEMS World: A $18.2B Market by 2026

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. The MEMS market will grow due to new opportunities in audio for microphones, microspeakers and inertial MEMS, AR/VR for optical MEMS, and other emerging applications. OUTLINE: Market forecasts and trends: The MEMS market is

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NVIDIA Inference Breakthrough Makes Conversational AI Smarter, More Interactive From Cloud to Edge

Tuesday, July 20, 2021 – NVIDIA today launched TensorRT™ 8, the eighth generation of the company’s AI software, which slashes inference time in half for language queries — enabling developers to build the world’s best-performing search engines, ad recommendations and chatbots and offer them from the cloud to the edge. TensorRT 8’s optimizations deliver record-setting

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Edge AI and Vision Insights: July 20, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, On Tuesday, October 5 at 9 am PT, Eta Compute will deliver the free webinar “How Battery-powered Intelligent Vision is Bringing AI to the IoT” in partnership with the Edge AI and Vision Alliance. In today’s landscape for the enterprise Internet of Things (IoT), the promise of artificial intelligence

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

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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“What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G,” a Presentation from Qualcomm

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit. Every day, AI-enabled systems enhance how we live and work—and we’ve barely scratched the surface! These systems are poised to create new

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AI Advancements Driving Autonomous Vehicle Ubiquity

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

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Case Study: Genetic Screening Using CNNs in PerceptiLabs

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

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

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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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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