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About the tinyML Talks category
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1
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88
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March 25, 2020
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Two tinyML Talks on September 29, 2020: 1) “Running TF Lite on Microcontrollers without hardware in Renode” by Michael Gielda (Antmicro); 2) “Building Products using Edge AI / TinyML on MCUs” by Stuart Feffer (Reality AI)
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1
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46
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August 24, 2020
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Two tinyML Talks on October 13, 2020 by Rajen Bhatt from Qeexo Co and Chandrasekar Vuppalapati from Hanumayamma Innovations and Technologies Inc
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1
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43
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August 24, 2020
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Two tinyML Talks on September 1, 2020 by Suren Jayasuriya from Arizona State University and Kristofor Carlson from BrainChip Inc
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4
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157
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September 23, 2020
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tinyML Talks on September 8, 2020 “The Deep (Learning) Transformation of Mobile and Embedded Computing” by Nicholas Lane
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1
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66
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September 1, 2020
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Two tinyML Talks on September 15, 2020: 1) “TinyML as-a-Service - Bringing ML inference to the deepest IoT Edge” by Hiroshi Doyu (Ericsson); 2) “Speech Recognition on low power devices” by Vikrant Tomar and Sam Myer (Fluent.ai Inc.)
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1
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270
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July 6, 2020
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tinyML Talks on September 10, 2020 “System support for efficient multi-resolution visual computing on low power embedded systems” by Robert LiKamWa
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1
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40
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September 8, 2020
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Two tinyML Talks on August 18, 2020 by Mark Stubbs from Shoreline IoT Inc. and Urmish Thakker from Arm ML Research
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4
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140
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August 24, 2020
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tinyML Talks on July 17, 2020 “ A Review of Compression Methods for Deep Convolutional Neural Networks" by Vincent Gripon
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1
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84
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August 18, 2020
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Two tinyML Talks on August 4, 2020: 1) “Low power CV meets the real world” by Venkat Rangan (tinyVision.ai Inc.); 2) “Towards Ultra-Low Power Embedded Object Detection” by Theocharis Theocharides (University of Cyprus)
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4
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234
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August 17, 2020
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tinyML Talks on August 13, 2020 “Tutorial on micro-kernel based hardware acceleration" by Manu Rastogi
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1
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43
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August 15, 2020
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SoCal Chapter Meeting August 11, 2020 - Training Neural Networks for Sensors
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1
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36
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August 13, 2020
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Benchmarking and Improving NN Execution on Digital Signal Processor for Hearing Instruments
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1
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45
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August 11, 2020
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Phoenix Chapter Meeting July 28, 2020 - Implementation Considerations for ML at the Edge of the Cloud
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2
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69
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August 3, 2020
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Two tinyML Talks on July 21, 2020: 1) "AI/ML SoC for Ultra-Low-Power Mobile and IoT devices" by Tomer Malach (DSP Group); 2) “Pushing the Limits of Ultra-low Power Computer Vision for tinyML Applications” by Aravind Natarajan (Qualcomm Technologies, Inc.)
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3
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269
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July 24, 2020
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Two tinyML Talks on July 7, 2020 by Zuzana Jelcicova from Demant and Daniel Situnayake from Edge Impulse
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3
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341
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July 22, 2020
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Adaptive AI for a Smarter Edge - Sek Chai - April 14, 2020
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6
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726
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July 21, 2020
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Two tinyML Talks on June 23, 2020: 1) “A weight-averaging approach to speeding up model training on resource-constrained devices” by Unmesh Kurup (LG Electronics); 2) “Analog ML Is Relevant—Because Most Sensor Content Isn’t” by Brandon Rumberg (Aspinity)
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2
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145
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June 29, 2020
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Train using MATLAB implement on Arduino
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2
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93
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June 22, 2020
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Two tinyML Talks on June 16, 2020: 1) "Low-Power Computer Vision” by Yung-Hsiang Lu (Purdue University); 2) “Saving 95% of your edge power with Sparsity to enable tiny ML” by Jon Tapson (GrAI Matter Labs)
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1
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235
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June 4, 2020
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Two tinyML Talks on June 9, 2020: 1) “SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers” by Igor Fedorov (Arm); 2) “tinyML doesn’t need Big Data, it needs Great Data” by Dominic Binks (Audio Analytic)
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11
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330
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June 11, 2020
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Two tinyML Talks on May 28, 2020: 1) "Low-cost neural network inferencing on the edge with xcore.ai" by Laszlo Kindrat (XMOS); 2) "Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors" by Michele Magno (ETH Zurich)
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6
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331
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June 9, 2020
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Can’t make test hello world on TinyML pg84 to work
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4
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158
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June 3, 2020
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SSCS & tinyML Joint Webinar ''The Intersection of SSCS and AI -- A Tale of Two Journeys" by Vivienne Sze (MIT) & Boris Murmann (Stanford)
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2
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253
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May 30, 2020
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Two tinyML Talks on May 14, 2020: 1) Embedded Computer Vision Hardware through the Eyes of AR/VR - Hans Reyserhove; 2) Using TensorFlow Lite for Microcontrollers for High-Efficiency NN Inference on Ultra-Low Power Processors - Jamie Campbell
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7
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441
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May 15, 2020
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Accessibility problems for modules mentioned in TinyML book
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12
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297
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May 6, 2020
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Two tinyML Talks on April 28, 2020: 1) Once-for-All: Train One Network and Specialize it for Efficient Deployment - Song Han 2) Unsupervised collaborative learning technology at the Edge for industrial machine vendors - Alexander Eroma
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1
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314
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April 14, 2020
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Getting Started with TinyML - Pete Warden - March 31, 2020
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11
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5240
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April 3, 2020
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