The sound of AI: Voice recognition
Low power does not mean low performance. In this article, we explore capturing audio with a microphone to detect the words "yes" and "no" with Silicon Labs’ Giant Gecko product line.
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Low power does not mean low performance. In this article, we explore capturing audio with a microphone to detect the words "yes" and "no" with Silicon Labs’ Giant Gecko product line.
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In this presentation, ST explains the need for Human Body Detection in various industrial applications.
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In this demo, we’ll explore how Microchip’s Hello FPGA kit can be used in the world of AI.
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Machine-learning algorithms running on low-cost embedded hardware can give you the convenience of voice-control without the security worries. We will look at building your own voice assistant.
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In this presentation, we will help you navigate the range of BittWare FPGA acceleration cards available from Mouser.
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Coral, Google’s Edge TPU platform, will be used to show how moving your AI workload to the edge can help reduce latency, save power, eliminate/reduce bandwidth needs, and ensure privacy preservation.
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We will explore how Microchip’s VectorBlox Accelerator SDK and Neural Network IP offer an easy way to create low-power FPGA smart embedded vision solutions without prior FPGA experience.
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In this video, we examine why industrial applications benefit from embedded AI and how NXP devices support the shift of intelligence to the edge.
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The ability of the digital world to interact with the real world can help augment human efforts to keep the world safer and more efficient. Paired with AI technology, electronics can be our ever-watch
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In this project, we explore using the Magic Wand gesture recognition model to capture and interpret accelerometer data.
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In this presentation, you will learn what’s involved in deploying a deep learning model on any embedded processor.
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We will explore how AI can indeed simplify our daily lives and what the future holds.
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TensorFlow Lite for Microcontrollers pares down the TensorFlow framework into a library intended to be run on 32-bit architectures such as ARM ® Cortex™-M.
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This project will demonstrate AI facial recognition using the Intel Neural Compute Stick 2 (NCS2) and the Raspberry Pi 3 Model B+.
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Learn how you can create greater business value by leveraging Artificial Intelligence and IoT by introducing you to terms, technologies, and uses of AI and IoT.
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Discover how an optimized embedded vision architecture can be realized for the deployment of ML models from the AWS cloud to the edge device
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In this talk, we will examine how job titles may no longer shape our full identity, what skills we will need to acquire in this new world
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