Processors

“Low-power Computer Vision: Status, Challenges and Opportunities,” a Presentation from Purdue University

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

Professor Yung-Hsiang Lu of Purdue University presents the "Low-power Computer Vision: Status, Challenges and Opportunities" tutorial at the May 2019 Embedded Vision Summit. Energy efficiency plays a crucial role in making computer vision successful in battery-powered systems, including drones, mobile phones and autonomous robots. Since 2015, IEEE has been organizing an annual competition on low-power […]

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“Optimizing SSD Object Detection for Low-power Devices,” a Presentation from Allegro

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Moses Guttmann, CTO and founder of Allegro, presents the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due

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“What’s Changing in Autonomous Vehicle Investments Worldwide — and Why?,” a Presentation from Woodside Capital Partners

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Rudy Burger, Managing Partner at Woodside Capital Partners, presents the "What’s Changing in Autonomous Vehicle Investments Worldwide—and Why?" tutorial at the May 2019 Embedded Vision Summit. So far, over $100B has been invested by industry into the development of autonomous vehicles (AVs), and the pace of investment has recently accelerated. In this talk, Burger presents

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“Making Cars That See — Failure is Not an Option,” a Presentation from Synopsys

Algorithms, Automotive, Processors, Sensors and Cameras, Software, Summit 2019, Synopsys, Tools, Videos /

Burkhard Huhnke, Vice President of Automotive Strategy for Synopsys, presents the "Making Cars That See—Failure is Not an Option" tutorial at the May 2019 Embedded Vision Summit. Drivers are the biggest source of uncertainty in the operation of cars. Computer vision is helping to eliminate human error and make the roads safer. But 14 years

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“Three Key Factors for Successful AI Projects,” a Presentation from MathWorks

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Bruce Tannenbaum, Technical Marketing Manager for AI applications at MathWorks, presents the "Three Key Factors for Successful AI Projects" tutorial at the May 2019 Embedded Vision Summit. AI is transforming the products we build and the way we do business. AI using images and video is already at work in our smart home devices, our

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“Using Deep Learning for Video Event Detection on a Compute Budget,” a Presentation from PathPartner Technology

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Praveen Nayak, Tech Lead at PathPartner Technology, presents the "Using Deep Learning for Video Event Detection on a Compute Budget" tutorial at the May 2019 Embedded Vision Summit. Convolutional neural networks (CNNs) have made tremendous strides in object detection and recognition in recent years. However, extending the CNN approach to understanding of video or volumetric

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“Can Simulation Solve the Training Data Problem?,” a Presentation from Mindtech

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Peter McGuinness, Vice President of AI and Services at Mindtech, presents the "Can Simulation Solve the Training Data Problem?" tutorial at the May 2019 Embedded Vision Summit. While there has been rapid progress in the adoption of neural networks and the evolution of neural network structures, the problem of training data remains. Even companies with

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“Mining Site Data Extraction Using 3D Machine Learning,” a Presentation from Strayos

Algorithms, Imagination Technologies, Processors, Sensors and Cameras, Software, Strayos, Summit 2019, Tools, Videos /

Ravi Sahu, Founder and CEO of Strayos, presents the "Mining Site Data Extraction Using 3D Machine Learning" tutorial at the May 2019 Embedded Vision Summit. This talk focuses on extracting invariant features for segmentation of 3D models of mining sites. The image data is generated by stitching together geo-tagged images from a drone. The 3D

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“APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs,” a Presentation from the Khronos Group

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the "APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute

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“Highly Efficient, Scalable Vision and AI Processors IP for the Edge,” a Presentation from Cadence

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Pulin Desai, Vision Product Marketing Director at Cadence, presents the "Highly Efficient, Scalable Vision and AI Processors IP for the Edge" tutorial at the May 2019 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based vision and AI processor family, and illustrates how easily vision algorithms (e.g., SLAM, 3D capture) and AI

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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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