Date 03/10/22

Recorded AI Tech Talk by Imagimob and Arm on April 5th 2022

Johan Malm, PhD and product owner at Imagimob presented at the Arm AI Tech Talks on April 5th. 

"Quantization of neural networks is crucial to get good performance on MCUs without FPU, e.g., on Arm M0-M3 cores. LSTM layers are especially difficult to quantize, and support in most frameworks has for a long time been lacking."

You can watch the recorded webinar below.


LATEST ARTICLES
arrow_forward
Date 11/26/24

Delivering world class edge AI - watch the video

DEEPCRAFT™ Edge AI software solutions make it easier and fas...
Date 11/05/24

November release of DEEPCRAFT™ Studio

Imagimob Studio is now DEEPCRAFT™ Studio! Just last wee...
Date 09/13/24

New research on data quality's role in model effic...
Date 09/03/24

September Release of Imagimob Studio
Date 07/05/24

Imagimob at tinyML Innovation Forum 2024
Date 07/01/24

Imagimob Studio 5.0 has arrived!
Date 05/13/24

May release of Imagimob Studio
Date 04/11/24

2024 State of Edge AI Report
Date 03/11/24

What is Edge AI?
Date 03/08/24

March release of Imagimob Studio
Date 02/18/24

What is tinyML?
Date 02/06/24

February release of Imagimob Studio
Date 01/16/24

Introducing Graph UX: A new way to visualize your ...
Date 12/06/23

Imagimob Ready Models are here. Time to accelerate...
Date 01/27/23

Deploying Quality SED models in a week
Date 11/17/22

An introduction to Sound Event Detection (SED)
Date 11/14/22

Imagimob condition monitoring AI-demo on Texas Ins...
Date 11/01/22

Alert Vest – connected tinyML safety vest by Swanh...
Date 10/21/22

Video recording from tinyML AutoML Deep Dive
Date 10/19/22

Edge ML Project time-estimates
Date 10/05/22

An introduction to Fall detection - The art of mea...
Date 04/20/22

Imagimob to exhibit at Embedded World 2022
Date 03/12/22

The past, present and future of Edge AI
Date 03/10/22

Recorded AI Tech Talk by Imagimob and Arm on April...
Date 03/05/22

The Future is Touchless: Radical Gesture Control P...
Date 01/31/22

Quantization of LSTM layers - a Technical White Pa...
Date 01/07/22

How to build an embedded AI application
Date 12/07/21

Don’t build your embedded AI pipeline from scratch...
Date 12/02/21

Imagimob @ CES 2022
Date 11/25/21

Imagimob AI in Agritech
Date 10/19/21

Deploying Edge AI Models - Acconeer example
Date 10/11/21

Imagimob AI used for condition monitoring of elect...
Date 09/21/21

Tips and Tricks for Better Edge AI models
Date 06/18/21

Imagimob AI integration with IAR Embedded Workbenc...
Date 05/10/21

Recorded Webinar - Imagimob at Arm AI Tech Talks o...
Date 04/23/21

Gesture Visualization in Imagimob Studio
Date 04/01/21

New team members
Date 03/15/21

Imagimob featured in Dagens Industri
Date 02/22/21

Customer Case Study: Increasing car safety through...
Date 12/18/20

Veoneer, Imagimob and Pionate in joint research pr...
Date 11/20/20

Edge computing needs Edge AI
Date 11/12/20

Imagimob video from tinyML Talks
Date 10/28/20

Agritech: Monitoring cattle with IoT and Edge AI
Date 10/19/20

Arm Community Blog: Imagimob - The fastest way fro...
Date 09/21/20

Imagimob video from Redeye AI seminar
Date 05/07/20

Webinar - Gesture control using radar and Edge AI
Date 04/08/20

tinyML article with Nordic Semiconductors
Date 12/11/19

Edge AI for techies, updated December 11, 2019
Date 12/05/19

Article in Dagens Industri: This is how Stockholm-...
Date 09/06/19

The New Path to Better Edge AI Applications
Date 07/01/19

Edge Computing in Modern Agriculture
Date 04/07/19

Our Top 3 Highlights from Hannover Messe 2019
Date 03/26/19

The Way You Collect Data Can Make or Break Your Ne...
Date 03/23/18

AI Research and AI Safety
Date 01/30/18

Imagimob and Autoliv demo at CES 2018
Date 05/24/17

Wearing Intelligence On Your Sleeve
LOAD MORE keyboard_arrow_down