|
Welcome to tinyML Forums
|
|
0
|
1790
|
March 21, 2020
|
|
tinyML Talks on March 4, 2021 “Inference with Raspberry Pi Pico and RP2040” by Eben Upton
|
|
0
|
19
|
February 25, 2021
|
|
tinyML Talks on February 16, 2021 “Oral Tongue Lesion Detection using TinyML on Embedded Devices” by Mohammed Zubair
|
|
0
|
4
|
March 1, 2021
|
|
tinyML Talks on February 23, 2021 “Making ML work in the real world” by Dominic Binks
|
|
0
|
23
|
February 24, 2021
|
|
tinyML Talks on February 15, 2021 “Race Predict by DXC - Harnessing compute at the edge to identify object movements during sporting events” by Scott Hehir
|
|
0
|
17
|
February 26, 2021
|
|
tinyML Talks on February 13, 2021 “Introduction to Edge Computing” by Archana Vaidheeswaran
|
|
0
|
13
|
February 26, 2021
|
|
tinyML Talks on February 8, 2021 “CMSIS-NN & Optimizations for Edge AI” by Felix Johnny and Fredrik Knutsson
|
|
0
|
78
|
February 9, 2021
|
|
tinyML Talks on February 2, 2021 “Always-on visual classification below 1 mW with spiking convolutional networks on Dynap™-CNN” by Martino Sorbaro
|
|
0
|
111
|
January 26, 2021
|
|
tinyML Talks on January 19, 2021 “microTVM: a Tensor Compiler for Bare Metal” by Andrew Reusch
|
|
0
|
86
|
January 21, 2021
|
|
tinyML Talks on January 13, 2021 “Security of Edge AI against Hardware Attacks” by Manuel Brosch and Matthias Probst
|
|
0
|
74
|
January 13, 2021
|
|
tinyML Talks on January 5, 2021 “The Future of Personalized Connected Healthcare” by Andrew Baker
|
|
0
|
107
|
January 4, 2021
|
|
tinyML Talks on December 22, 2020 “Low MIPS & Memory Machine Learning Industrial Vibration Monitoring Solution (AKA Not All AI Applications Are Cat v Dogs on Facebook)” by John Edwards
|
|
0
|
244
|
November 19, 2020
|
|
tinyML Talks on December 15, 2020 “PoPS: Policy Pruning and Shrinking of Deep Reinforcement Learning for edge devices” by Dor Livne
|
|
0
|
69
|
December 17, 2020
|
|
tinyML Talks on December 2, 2020 “Embedded Machine Learning using Infineon’s ModusToolbox ML” by Aidan Smyth
|
|
0
|
80
|
December 3, 2020
|
|
tinyML Talks on November 4, 2020 “Introduction to optimization algorithms for compressing neural networks” by Marcus Rüb
|
|
0
|
121
|
November 4, 2020
|
|
tinyML Talks on October 17, 2020 “AI/ML solutions for low-power Edge platforms - challenges and opportunities” by Amit Mate
|
|
0
|
141
|
October 20, 2020
|
|
Two tinyML Talks on October 13, 2020 by Rajen Bhatt from Qeexo Co and Chandrasekar Vuppalapati from Hanumayamma Innovations and Technologies Inc
|
|
0
|
218
|
August 24, 2020
|
|
tinyML Talks on October 7, 2020 “Embedded ML research at TUM: Moving NN Inference to the Extreme Edge” by Rafael Stahl
|
|
0
|
108
|
October 8, 2020
|
|
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)
|
|
0
|
257
|
August 24, 2020
|
|
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.)
|
|
0
|
465
|
July 6, 2020
|
|
tinyML Talks on September 10, 2020 “System support for efficient multi-resolution visual computing on low power embedded systems” by Robert LiKamWa
|
|
0
|
110
|
September 8, 2020
|
|
tinyML Talks on September 8, 2020 “The Deep (Learning) Transformation of Mobile and Embedded Computing” by Nicholas Lane
|
|
0
|
139
|
September 1, 2020
|
|
tinyML Talks on August 13, 2020 “Tutorial on micro-kernel based hardware acceleration" by Manu Rastogi
|
|
0
|
113
|
August 15, 2020
|
|
SoCal Chapter Meeting August 11, 2020 - Training Neural Networks for Sensors
|
|
0
|
126
|
August 13, 2020
|
|
Phoenix Chapter Meeting July 28, 2020 - Implementation Considerations for ML at the Edge of the Cloud
|
|
1
|
134
|
August 3, 2020
|
|
tinyML Talks on July 17, 2020 “ A Review of Compression Methods for Deep Convolutional Neural Networks" by Vincent Gripon
|
|
0
|
180
|
August 18, 2020
|
|
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)
|
|
0
|
355
|
June 4, 2020
|
|
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
|
|
0
|
407
|
April 14, 2020
|
|
Whats the catch...Arduino vs TPU/VPU/GPU performance and limitations
|
|
8
|
208
|
February 12, 2021
|
|
Computer vision with OpenMV and Edge Impulse
|
|
2
|
357
|
August 8, 2020
|
