![[DL Math+Efficiency] Yedi Zhang - Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across NNs](/vi/ULJNvC1lUH0/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLD86abWxGWy3TYh67yNeTBzQfAecA)
Embedded AI Lab @TUG
[DL Math+Efficiency] Yedi Zhang - Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across NNs
52:14
![[DL Math+Efficiency] Rahim Entezari - Fast Video Generation](/vi/7iqV5PpF0-c/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBW4VzeqMUGeXRm8BKqy6-Xaiw2uA)
Embedded AI Lab @TUG
[DL Math+Efficiency] Rahim Entezari - Fast Video Generation
47:52
![[DL Math+Efficiency] Ting Han - Flatness is Necessary, Neural Collapse is Not](/vi/BS2rWlMRSlg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLA735ZNPfGgHicls7hjYGP19gK0TQ)
Embedded AI Lab @TUG
[DL Math+Efficiency] Ting Han - Flatness is Necessary, Neural Collapse is Not
25:26
![[DL Math+Efficiency] Flavio Martinelli - Flat Channels to Infinity in Neural Loss Landscapes](/vi/4_0wUvS7-R8/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgAKOBYoCDAgAEAEYZSBZKE8wDw==&rs=AOn4CLDfC7uImm2MDCgEnOBEsPO-DRzN2Q)
Embedded AI Lab @TUG
[DL Math+Efficiency] Flavio Martinelli - Flat Channels to Infinity in Neural Loss Landscapes
37:04
![[DL Math+Efficiency] Georgios Vlassis - Beyond Outliers: A Study of Optimizers Under Quantization](/vi/ytbNeQI0RPE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAv5nLXht_bAAq01DEBUcEiQPv6Ow)
Embedded AI Lab @TUG
[DL Math+Efficiency] Georgios Vlassis - Beyond Outliers: A Study of Optimizers Under Quantization
33:44
![[DL Math+Efficiency] Tom Jacobs - Mask in the Mirror: Implicit Sparsification](/vi/udKX0Y69O08/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4IgALQBYoCDAgAEAEYSSBgKGUwDw==&rs=AOn4CLDXZUyXfeO6VHsL2opwYNNXJxWdwg)
Embedded AI Lab @TUG
[DL Math+Efficiency] Tom Jacobs - Mask in the Mirror: Implicit Sparsification
18:11
![[DL Math+Efficiency] Giulia Lanzillotta - Testing knowledge distillation theories with dataset size](/vi/OoogPonpLz8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCxJPnghRkoPl6m3s58RRbARLFcKg)
Embedded AI Lab @TUG
[DL Math+Efficiency] Giulia Lanzillotta - Testing knowledge distillation theories with dataset size
57:37
![[DL Math+Efficiency] Shuaicheng Niu - Towards Versatile Test-Time Adaptation](/vi/V9seMxXNyBA/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAVW8Hp5tDADWDpZRv9N3GPCoADCw)
Embedded AI Lab @TUG
[DL Math+Efficiency] Shuaicheng Niu - Towards Versatile Test-Time Adaptation
34:30
![[DL Math+Efficiency] Oscar Skean - Uncovering Hidden Representations in Language Models](/vi/ots0Fqrk-B4/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBWyJak08xlvp6fGNvYr-F9P9SDyQ)
Embedded AI Lab @TUG
[DL Math+Efficiency] Oscar Skean - Uncovering Hidden Representations in Language Models
35:06
![[EfficientML] Abhishek Tyagi - Dynamic Sparse Training of Diagonally Sparse Networks](/vi/6nQMmkb8tyY/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDw8Y8RJLRQ3_9nUT-MTlflaLmjPA)
Embedded AI Lab @TUG
[EfficientML] Abhishek Tyagi - Dynamic Sparse Training of Diagonally Sparse Networks
23:36
![[EfficientML] Simla Burcu Harma - Effective Interplay between Sparsity and Quantization](/vi/KyZlhdXAMCY/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDAOBP4a0affddplqeuThjyMx_acA)
Embedded AI Lab @TUG
[EfficientML] Simla Burcu Harma - Effective Interplay between Sparsity and Quantization
23:06
![[EfficientML] Dong Wang: Forget the Data and Fine-Tuning! Just Fold the Network to Compress](/vi/PvjzwsZ9u-U/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAeN-YkVLzMF30glJbbu_J1zpJHEA)
Embedded AI Lab @TUG
[EfficientML] Dong Wang: Forget the Data and Fine-Tuning! Just Fold the Network to Compress
23:09
Embedded AI Lab @TUG
Driver Drowsiness Detection App by Elin Ruud and Daniel Kreimer
1:19
Embedded AI Lab @TUG
Circuit Detector Demo by Martin Schachl and Michael Zweimüller
1:24
Embedded AI Lab @TUG
Jump and Run Game by Fabian Treu and David Prutej
1:54
![[EfficientML] Benjamin Vandersmissen - Improving NN Accuracy by Training with a Twin Network](/vi/rB2_SZIQUd0/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYfyAYKB8wDw==&rs=AOn4CLBlp1CS8bTGYJXYwv_qyahGrWZDiQ)
Embedded AI Lab @TUG
[EfficientML] Benjamin Vandersmissen - Improving NN Accuracy by Training with a Twin Network
31:25
![[EfficientML] Bingcong Li - On the Crucial Role of Initialization for Matrix Factorization](/vi/QTwk_DwOAYs/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCZNe_eGTf93NO7Edu8UGuks2thfQ)
Embedded AI Lab @TUG
[EfficientML] Bingcong Li - On the Crucial Role of Initialization for Matrix Factorization
37:27
![[EfficientML] Lorenzo Sani - Photon: Federated LLM Pre-Training](/vi/219kviGMU40/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCXZ8LUJtOZjZczUq3L-sOyf3lX_w)
Embedded AI Lab @TUG
[EfficientML] Lorenzo Sani - Photon: Federated LLM Pre-Training
41:19
![[EfficientML] Ankit Sonthalia: Do Deep Neural Network Solutions Form a Star Domain?](/vi/WA4B3067zU8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCMEQUjtlWqy8BYhmPN-o_8DiVusQ)
Embedded AI Lab @TUG
[EfficientML] Ankit Sonthalia: Do Deep Neural Network Solutions Form a Star Domain?
20:04
![[EfficientML] Ramón Calvo González - Leveraging the True Depth of LLMs](/vi/_jXVE-_JGO8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCcyRG2rb6clODY55Mt6Dol90EuOw)
Embedded AI Lab @TUG
[EfficientML] Ramón Calvo González - Leveraging the True Depth of LLMs
18:23
![[EfficientML] Denis Korzhenkov - Mobile Video Diffusion](/vi/qmQK7OzGEHI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCxzpEAQ1_m5pUkSfUk3wqzX9rqvQ)
Embedded AI Lab @TUG
[EfficientML] Denis Korzhenkov - Mobile Video Diffusion
27:05
![[EfficientML] Shiwei Liu - The Curse of Depth in Large Language Models](/vi/sVN7wgmmNms/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDB931NHlI1g_EtvT72FBDeEXW2_w)
Embedded AI Lab @TUG
[EfficientML] Shiwei Liu - The Curse of Depth in Large Language Models
40:19
![[EfficientML] Janek Haberer - HydraViT: Stacking Heads for a Scalable ViT](/vi/3GBPOcizp2Q/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBee258upVtUjRbDTajumcN_3k4OA)
Embedded AI Lab @TUG
[EfficientML] Janek Haberer - HydraViT: Stacking Heads for a Scalable ViT
31:30
![[EfficientML] Alexander Theus and Olin Geimer: Towards Meta-Pruning via Optimal Transport](/vi/21j05kMQSso/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4IgALQBYoCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLA6r8aW-Ejd70Xx2iYitQ_-LSO0_w)
Embedded AI Lab @TUG
[EfficientML] Alexander Theus and Olin Geimer: Towards Meta-Pruning via Optimal Transport
26:35
![[EfficientML] Nils Walter: The Uncanny Valley: Adversarial Robustness from a Flatness Perspective](/vi/1ClKbsWCrzE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDkdBW17j0o4qIVIxS8_uYs7KeOLw)
Embedded AI Lab @TUG
[EfficientML] Nils Walter: The Uncanny Valley: Adversarial Robustness from a Flatness Perspective
27:02
![[EfficientML] Eldar Kurtic: Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on LLMs](/vi/g3pv7msi8Pk/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYZCBkKGQwDw==&rs=AOn4CLC9esf8n84YhQVVBsRDqsvajjFrrA)
Embedded AI Lab @TUG
[EfficientML] Eldar Kurtic: Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on LLMs
25:39
![[EfficientML] Francesco Tosoni: Toward Greener Matrix Operations by Lossless Compressed Formats](/vi/m5qgUGXhbi4/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYISBlKDQwDw==&rs=AOn4CLC4NJFHhzfFRgpQOTFIZQHE6L48QA)
Embedded AI Lab @TUG
[EfficientML] Francesco Tosoni: Toward Greener Matrix Operations by Lossless Compressed Formats
40:42
![[EfficientML] Ke Wang & Nikolaos Dimitriadis: Localizing Task Information for Improved Model Merging](/vi/UgduJvTNrfU/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLC9crrfdRsNrihXcl2AqJF5zVi2Ng)
Embedded AI Lab @TUG
[EfficientML] Ke Wang & Nikolaos Dimitriadis: Localizing Task Information for Improved Model Merging
30:54
![[EfficientML] Flavio Martinelli - Expand-and-Cluster: Parameter Recovery of Neural Networks](/vi/fqKoM4rkYX8/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgAKOBYoCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLC1IZg2mSWMQEC_R9VWcdcaAwr3JQ)
Embedded AI Lab @TUG
[EfficientML] Flavio Martinelli - Expand-and-Cluster: Parameter Recovery of Neural Networks
46:16
![[EfficientML] Dong Wang - Subspace-Configurable Networks](/vi/vV3vKKC0nUY/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAiVtEEUzAtXcLWFg4_isvm2Ci-FQ)
Embedded AI Lab @TUG
[EfficientML] Dong Wang - Subspace-Configurable Networks
22:27
![[EfficientML] Peng Sun - Efficiency for Free: Ideal Data Are Transportable Representations](/vi/ptUQcR7mHlo/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AfwIgALQBYoCDAgAEAEYWiBbKGUwDw==&rs=AOn4CLAEQij1ZVpBwOtHP5QOQ6BvMVMVZg)
Embedded AI Lab @TUG
[EfficientML] Peng Sun - Efficiency for Free: Ideal Data Are Transportable Representations
33:40
![[MCL] Master Wang Game: Human Activity Recognition and Interaction](/vi/wrY8gMpRJlE/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYZSBbKFswDw==&rs=AOn4CLBO4v7j1R6qP3Jvly_1KKAJZ-OyqQ)
Embedded AI Lab @TUG
[MCL] Master Wang Game: Human Activity Recognition and Interaction
0:36
![[MCL] TopOut App: AI-Powered Climbing Recording](/vi/bxN3E74fkhA/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Ab4EgAKACooCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLAsjG73wega-ijbyj3acP57RegKFQ)
Embedded AI Lab @TUG
[MCL] TopOut App: AI-Powered Climbing Recording
0:48
![[EfficientML] Da Xiao - Improving Transformers with Dynamically Composable Multi-Head Attention](/vi/F4gosLuZV9Q/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLBAcdQ4vyLYeppXRCceuasGwcyE1g)
Embedded AI Lab @TUG
[EfficientML] Da Xiao - Improving Transformers with Dynamically Composable Multi-Head Attention
40:46
![[EfficientML] Keller Jordan -- 94% on CIFAR-10 in 3.29 Seconds on a Single GPU](/vi/4OIzm0ELByM/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYSSBlKGQwDw==&rs=AOn4CLCoxKvG36fEW9mvOkODw4cUMxpPtA)
Embedded AI Lab @TUG
[EfficientML] Keller Jordan -- 94% on CIFAR-10 in 3.29 Seconds on a Single GPU
31:37
![[EfficientML] Diganta Misra -- Just Say the Name: Online Continual Learning via Data Generation](/vi/FJpRORxIbC4/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgAKuBYoCDAgAEAEYViBgKGUwDw==&rs=AOn4CLDLxfmu9yEoxEjBhqNCgZ0vQXjmjg)
Embedded AI Lab @TUG
[EfficientML] Diganta Misra -- Just Say the Name: Online Continual Learning via Data Generation
54:21
![[MCL] Wireless DrumKit App by Markus-Philipp Gherman and Fabian Moik](/vi/nnl6uidGfWQ/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLA9AV2_1tJYipkko__NZXxw4d-mFQ)
Embedded AI Lab @TUG
[MCL] Wireless DrumKit App by Markus-Philipp Gherman and Fabian Moik
0:55
![[MCL] Indoor Localization by Oliver Kreuzer and Thomas Stranger](/vi/-Jm17k19hp4/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCqKXIrfqsTHw3hhBBX8UfR0qCBiQ)
Embedded AI Lab @TUG
[MCL] Indoor Localization by Oliver Kreuzer and Thomas Stranger
1:16
![[Embedded ML] Deep Model Inference Demo on STM32 Discovery Kit by Peter Prodinger](/vi/kKUUP5Gdf4o/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYNCBWKH8wDw==&rs=AOn4CLAIBRsT77x7PjP75xJUYETXtdYvzQ)
Embedded AI Lab @TUG
[Embedded ML] Deep Model Inference Demo on STM32 Discovery Kit by Peter Prodinger
3:09
![[Embedded ML] Magic Wand Demo 2021 by Rahim Entezari](/vi/yX8YztdD9R0/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYSCBVKGUwDw==&rs=AOn4CLC_e8fkC4ZyPinoCmAIwyc34WQZpQ)
Embedded AI Lab @TUG
[Embedded ML] Magic Wand Demo 2021 by Rahim Entezari
0:53
![[MCL] BlindApp: Free path for visually impaired people by Philip Samer, 2022](/vi/PhhXTDkTYAY/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AcICgALQBYoCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLA3_3WA0dcvgDyW5NBRfCchNlgKAg)
Embedded AI Lab @TUG
[MCL] BlindApp: Free path for visually impaired people by Philip Samer, 2022
2:32
![[MCL] PlantApp: Garden plant identification and diagnostics by Alex Palmisano, 2022](/vi/vnqPkT2COIM/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AcwEgAKACooCDAgAEAEYUSBlKDUwDw==&rs=AOn4CLBx2HI5Dzsx_rwyoGxAKs_98baPHw)
Embedded AI Lab @TUG
[MCL] PlantApp: Garden plant identification and diagnostics by Alex Palmisano, 2022
1:16
![[MCL] SpeechMood: Track your expressiveness by Maximilian Nothnagel, 2022](/vi/igbdjzwlQdo/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AdQGgALgA4oCDAgAEAEYUiBZKGUwDw==&rs=AOn4CLC4wL-T9b7fsJmNurKDWzOMJsNmiw)
Embedded AI Lab @TUG
[MCL] SpeechMood: Track your expressiveness by Maximilian Nothnagel, 2022
0:53
![[MCL] Activity Recognition by Julian Rudolf and Christopher Hinterer, 2022](/vi/bQJ0sVr_bCk/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AdQGgALgA4oCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLDrpDu8F5fRXXSwNUYwv1ZI3zXX7g)
Embedded AI Lab @TUG
[MCL] Activity Recognition by Julian Rudolf and Christopher Hinterer, 2022
3:07
![[MCL] Activity Recognition by Peter Prodinger, 2020](/vi/ak0wvEZTFzg/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AdQGgALgA4oCDAgAEAEYZSBXKD8wDw==&rs=AOn4CLCj5YzukiPhR0HqGu3cB2lU2P0ZXw)
Embedded AI Lab @TUG
[MCL] Activity Recognition by Peter Prodinger, 2020
0:43
![[MCL] Activity Recognition by Jakob Soukup, 2022](/vi/as6EiNC0tT0/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYUiBlKDAwDw==&rs=AOn4CLBO-n5pmw9kWigsVuVBt7WpcHXtYw)
Embedded AI Lab @TUG
[MCL] Activity Recognition by Jakob Soukup, 2022
0:48
![[MCL] Activity Recognition by Dietmar Malli, 2020](/vi/s2LCQngiRA8/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AdQGgALgA4oCDAgAEAEYciBVKCQwDw==&rs=AOn4CLCh3eodpsiy-fizpnRAyGZO31RH_g)
Embedded AI Lab @TUG
[MCL] Activity Recognition by Dietmar Malli, 2020
0:47
![[Embedded ML] Magic Wand Demo 2022 by David Mihola](/vi/3TXiiDG6Few/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYZSBgKFAwDw==&rs=AOn4CLDQhxBAJ_dC16yCKmvIpoxAy71nqg)
Embedded AI Lab @TUG
[Embedded ML] Magic Wand Demo 2022 by David Mihola
2:44