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How Facebook Uses AI

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. 2.7 billion people—more than one third of all humans on planet Earth—use Facebook. That’s a staggering figure! Despite its ubiquity, the centrality of AI—not just hand-written code—is probably invisible to most users. In a recent episode of […]

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“Vitis and Vitis AI: Application Acceleration from Cloud to Edge,” a Presentation from Xilinx

Vinod Kathail, Fellow and Chief Architect at Xilinx, presents the “Vitis and Vitis AI: Application Acceleration from Cloud to Edge” tutorial at the September 2020 Embedded Vision Summit. Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the

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“Making Edge AI Inference Programming Easier and Flexible,” a Presentation from Texas Instruments

Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit. Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes

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“OpenCV: Rapid Growth and Evolution Beyond the Library,” a Presentation from OpenCV

Dr. Satya Mallick, CEO of OpenCV.org and OpenCV.ai, presents the “OpenCV: Rapid Growth and Evolution Beyond the Library” tutorial at the September 2020 Embedded Vision Summit. The last 20 years of OpenCV were dedicated to building the world’s largest high-performance computer vision library. Now, the organization is fast expanding beyond the flagship library to better

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“Embedded Vision for Autonomous Drones,” an Alliance Conversation with Skydio

Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Hayk Martiros, Head of Autonomy at Skydio, about the critical technical challenges for implementing embedded vision in autonomous drones that operate under difficult, real-world conditions. Skydio is hiring! The company is the leading U.S. drone manufacturer and world leader in autonomous flight. Skydio leverages

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Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it’s even more important to have advanced analytics apps and services

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“Deploying Deep Learning Applications on FPGAs with MATLAB,” a Presentation from MathWorks

Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit. Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in

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“How to Create Your Own AI-Enabled Camera Solution in Days,” a Presentation from IDS Imaging Development Systems

Carsten Traupe, Director of Product Management at IDS Imaging Development Systems, presents the “How to Create Your Own AI-Enabled Camera Solution in Days” tutorial at the September 2020 Embedded Vision Summit. Cameras coupled with AI can solve numerous real-world problems. But developing an AI camera solution can be a complex and time-consuming undertaking, especially for

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DNN Model Optimization Series Part II: Model Compression – Top 10 Questions Answered

This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. As discussed in our previous blog post, compressing large deep learning models will pave the way for many new AI applications and enable AI to assist our everyday lives. This makes model compression a hot research area,

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Gyrfalcon Launches AI-X — Full-Stack Solution for Edge-AI Development

MILPITAS, Calif., Nov. 24, 2020 /PRNewswire/ — Gyrfalcon Technology (GTI) today announced AI-X™, a new full-stack solution for AI development ideal for small and medium enterprises (SMEs). Popular applications for AI-X include edge-AI vision devices, consumer electronics, AI-camera sensors and automotive. AI-X benefits SMEs by accelerating AI product turnaround time, maximizing on-chip resource utilization, minimizing CPU

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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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