Henrik Flodell from the marketing team at Alif Semiconductor demonstrates the company’s latest edge AI and vision technologies and products in the Arrow Electronics booth at the 2022 Embedded Vision Summit. Specifically, Flodell demonstrates that machine learning on microcontrollers has come a long way by proving that Alif’s Ensemble family of MCU’s and Fusion processors […]
Koki Mitsunami and Ben Clark, Developer Advocates at Arm, demonstrate the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Mitsunami and Clark demonstrate machine learning on Arm technology. Mitsunami shows how to improve PyTorch performance with Android NNAPI, by demonstrating models running on a mobile device using
Arm Demonstration of Machine Learning Read More +
Stephen Su, Senior Product Manager at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Su demonstrates Arm’s upcoming Mali-ISP, developed for IoT, smart home and surveillance markets. A single ISP supports multi-camera and high dynamic range (HDR) implementations. The Mali-ISP IP is highly configurable,
Arm Demonstration of an Upcoming Arm-Mali ISP Read More +
Vaibhav Ghadiok, Co-founder and Executive Vice President of Engineering at Hayden AI, presents the “Making Cities More Efficient with Computer Vision and Edge AI” tutorial at the September 2022 Edge AI and Vision Innovation Forum. Vaibhav Ghadiok is an engineering leader with a track record of productizing robotics technology. He has 15+ years of experience
Umair Hashim, Principal Solutions Engineer at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hashim demonstrates how Arm is investing its hardware and software ecosystem to lower the software development effort required for IoT solutions deployment. Programs like SystemReady enable deployment of the same
Arm Demonstration of Write Once, Deploy Anywhere Read More +
Jasvinder Khurana, Staff System Design Engineer at AMD, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Khurana demonstrates the Kria Robotics Perception stack application. The demonstrated ROS 2 Perception Node-accelerated application implements a subset of image_pipeline, which is one of the most popular packages in
AMD Demonstration of Kria Robotics Perception Read More +
Quenton Hall, Senior Technical Marketing Manager for AI and ML at AMD, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hall demonstrates the company’s Kria App Store. The Kria App Store offers a powerful platform to host and market your unique edge applications, algorithms, and
AMD Demonstration of the Kria App Store Read More +
Drew Emery, Technical Sales Engineer at AMD, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Emery demonstrates one of the applications included with the Kria KR260 Robotics Starter Kit. The application implements an industrial camera design using a Sony IMX SLVS-EC sensor and the widely
AMD Demonstration of Kria Machine Vision Read More +
Mouli Narayanan, Founder and CEO of Zeblok Computational, demonstrates the company’s latest edge AI and vision technologies and products in Intel’s booth at the 2022 Embedded Vision Summit. Specifically, Narayanan demonstrates a series of AI-MicroCloud workflows geared for enterprise architects, ML modelers, and ML Ops to improve automation in curating AI assets and disseminating optimized
Zeblok Computational Demonstration of Autonomous Multi-cloud to Edge ML DevOps Read More +
John Freyhof, CEO of Vy Corporation, demonstrates the company’s latest edge AI and vision technologies and products in Intel’s booth at the 2022 Embedded Vision Summit. Specifically, Freyof demonstrates the solution to a real-world problem of detecting a sub-surface mine in a very low signal-to-noise environment, and how the same approach can be applied to
Vy Corporation Demonstration of Faster Convergence Using Understandable AI Read More +
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