Processors

DEEPX Demonstration of Empowering Smart Camera and Robotics Applications with Edge AI Chip Technology

Tim Park, director of strategic marketing for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Park demonstrates how DEEPX’s edge AI chips enhance AI capabilities in existing product designs. In one of the demos, Park shows the simultaneous operation of multiple AI models. Explore […]

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Intel Accelerates AI Development with Reference Kits

Optimized AI reference kits help developers and data scientists innovate faster. ​What’s New: Intel now offers a set of 34 open source AI reference kits to the community, the result of a yearslong collaboration with Accenture, enabling developers and data scientists to deploy artificial intelligence (AI) faster and more easily. Each kit includes model code, training data, instructions for

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Maximizing Attention, Minimizing Costs: Embracing Intelligent Digital Assistants with Vision and Speech Processing in the Cloud and Edge

This blog post was originally published by GMAC Intelligence. It is reprinted here with the permission of GMAC Intelligence. Humans mainly rely on speech, vision and touch to operate efficiently and effectively in the physical world. We also rely on smell and taste for our activities and our survival as well, but for most of

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Transformer Models and NPU IP Co-optimized for the Edge

Transformers are taking the AI world by storm, as evidenced by super-intelligent chatbots and search queries, as well as image and art generators. These are also based on neural net technologies but programmed in a quite different way from more commonly understood convolution methods. Now transformers are starting to make their way to edge applications.

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DEEPX Demonstration of Revolutionizing Automotive and Smart City Applications with Edge AI Technology

Tim Park, director of strategic marketing for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Park demonstrates real-time applications of DEEPX’s edge AI chip technology in the automotive and smart city sectors. Park shows how DEEPX’s low power, high performance AI technology enhances driving

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DEEPX Demonstration of Its Product Portfolio for Empowering Edge AI Solutions

Tim Park, director of strategic marketing for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Park demonstrates DEEPX’s comprehensive product portfolio. With a range of edge AI chips targeting various applications, from low power to high performance, DEEPX offers compelling solutions with a strong

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DEEPX Demonstration of Empowering Edge AI Technology with Flexibility, Accuracy and Power Efficiency

Jay Kim, EVP of Technology for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kim demonstrates the key features embedded in DEEPX’s edge AI chip technology. Kim outlines its improved flexibility, accuracy, and power/performance efficiency, attributes that enable businesses to access vital data for

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DEEPX Demonstration of Simplifying Software Development with DEEPX’s Two-step SDK

Jay Kim, EVP of Technology for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kim demonstrates the simplicity of using DEEPX’s software development kit (SDK). Kim shows how to choose a target application and select an AI software framework in just two easy steps.

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Reflections from RSS: Three Reasons DL Fails at Autonomy

This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. Last week I had the pleasure of attending, and presenting at, the annual Robotics: Science and Systems (RSS) in Daegu, South Korea.  RSS ranks amongst the most prestigious of the international robotics conferences, and brings together

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“How Transformers Are Changing the Nature of Deep Learning Models,” a Presentation from Synopsys

Tom Michiels, System Architect for ARC Processors at Synopsys, presents the “How Transformers Are Changing the Nature of Deep Learning Models” tutorial at the May 2023 Embedded Vision Summit. The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has become dominant for natural language

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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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