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Algolux Named Winner in 2019 Artificial Intelligence Excellence Awards

Montreal, Canada - March 13, 2019 - The Business Intelligence Group today announced that Algolux was named a winner in its Artificial Intelligence Excellence Awards program.

Algolux, the leading provider of software for autonomous vision, was recognized for the significant improvement in perception system accuracy and robustness that its AI-based Eos Perception Software provides for safer autonomous vehicles and automotive driver-assist (ADAS) systems.

Eos addresses the limitations of current perception systems through an end-to-end approach, improving performance across all driving scenarios, but most significantly in harsh conditions like low light, rain, fog, snow, and dust.

Computer vision is at the heart of autonomous cars, ADAS, mobile devices, security cameras (IoT), AR/VR, robotics, drones, and medical equipment, leading the next wave of market growth and social impact.

Developed by an industry-recognized team of researchers, our Ion Platform integrates our award-winning machine learning technologies and end-to-end methodology to address the complex task of developing optimal imaging and vision systems.

Boulder AI and Clarifai Announce Alliance to Enable AI-Driven Security Camera Solutions English English

BOULDER, Colorado and NEW YORK, March 19, 2019 /PRNewswire/ -- Boulder AI and Clarifai, two of the leading computer vision technology AI companies, today announced they have entered a strategic technical alliance to combine Boulder AI's hardware and software competencies with Clarifai's computer vision software expertise within the Boulder AI DNNCam™ camera platform.

Leveraging the Nvidia Tegra GPU for on-board processing, the DNNCam can process footage in real-time and transmit highly relevant, contextually labeled output from the Clarifai installed AI models.  When combined with Clarifai's visual AI models, the DNNCam will be able to help customers count people and objects, highlight people of interest, track people as they move in and out of the frame, identify objects, and alert notifications of defined actions in real-time.

"The promise of tomorrow's visual AI benefits depends on the ability to seamlessly move the processing of computer vision models from the server room to network edge devices," says Matt Zeiler, CEO and founder of Clarifai.  "Even with the advent of 5G and faster communications networks, the volumes of data to be processed in order to gain actionable knowledge simply cannot co-exist with today's communications networks from both a technology and fiscal perspective when at scale.  Teaming with Boulder AI and combining on-board camera processing and Clarifai visual AI models is the first step in enabling real-time computing at the edge and creating robust IoT applications with built-in AI."

DEKA Research Overview of Current and Upcoming Computer Vision Programs

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Horizon Robotics Kai Yu Unveils His Company's Embedded AI Computer Vision Processors (Preview)

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Xnor.ai Introduction to the Company, Its Technology and Its Products

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Thundersoft's Daniel Sun Explores Optimizing Software for Embedded Vision and AI (Preview)

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Crossbar Demonstration of Artificial Intelligence Edge Computing Acceleration with ReRAM

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Cadence Demonstration of On-Device AI for Object Detection

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Pilot AI's Jonathan Su Introduces a Deep Learning Vision Framework for Constrained Devices (Preview)

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Cadence Demonstration of On-Device AI for Image Classification

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Horizon Robotics Demonstration of Its Smart City Solution Powered by Its Embedded AI Chip

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