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AI IoT Edge Applications
Insights & Trends
LIVE STREAM
AI IoT Edge Applications Insights and Trends
AI IoT Edge Applications Insights and Trends
Presented by:
Martin Croome
VP Marketing
5
Who are we?
GreenWaves Technologies
• Fabless semiconductor startup founded in 2014
• We design and sell processors specialized in advanced signal
processing using AI and more at ultra low energy levels
• 42 people, mostly in Grenoble, France
• Offices in Bologna, Italy and Shanghai, China. Global sales
footprint.
• Recognised leader in embedding intelligence into highly energy
constrained devices
IoT
Wearables
Hearables
GAP9
What does AI in IoT mostly mean?
High dimensional features
(usually images)
Time series data
(movement, sound)
Deep Neural Network
Classification
- Is it a X?
Localisation/Segmentation
- Where is the X?
Anomaly detection
- Is the X in an unexpected
state?
Generative
- Generate something new
from X (i.e. a dynamic filter to
remove noise from a voice)
Why do this on device?
Cost
Transporting
data costs
money
Capacity
A huge amount
of the data is
uninteresting
Security
Moving data off
a device creates
a problem
Capability
Time to action is
crucial in some
cases
i.e. Cost & Feasibility
What are the key challenges?
A trained model
that gives
adequate
performance in
real life
situations
Reasonable
expectations of
performance
“Good” Data
Afterwards:
- Get it to run at a reasonable price/performance point for your application
Before:
- An imaginative understanding of AI capabilities applied to the
challenges of your business
9
An example …
… everything was possible because we decided to go with our friends GreenWaves Technologies. We started to use the
GAP CPU, which is the heart of the system and is handling all the AI computations in a very power efficient way. There are
a lot of customers who hardly believe that it is possible to operate on the battery for 4 years still being able to deliver this
type of technology
Łukasz Szelejewski, CTO, Kontakt.io
10
What is now possible?
Accurate person or object detection
with a few 100s of micro joules
Complex, multi stage pipelines that can run for
years on a battery
As usual combining industry
knowledge with technical possibility is
the key barrier
Where is this going?
More pervasive intelligence
Smarter sensors (at component level)
Sensors will embed ‘horizontal’
features e.g. Human voice wake-up in
microphone
Smarter products
Products will adapt intelligently to
their environment e.g. Sound adapts
to wearer and situation
12 Company Proprietary
GREENWAVES TECHNOLOGIES
28 Cours Jean Jaurès
38000 Grenoble
France
www.greenwaves-technologies.com
Thank You

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AI IoT Edge Applications Insights and Trends

  • 1. AI IoT Edge Applications Insights & Trends LIVE STREAM
  • 5. 5 Who are we? GreenWaves Technologies • Fabless semiconductor startup founded in 2014 • We design and sell processors specialized in advanced signal processing using AI and more at ultra low energy levels • 42 people, mostly in Grenoble, France • Offices in Bologna, Italy and Shanghai, China. Global sales footprint. • Recognised leader in embedding intelligence into highly energy constrained devices IoT Wearables Hearables GAP9
  • 6. What does AI in IoT mostly mean? High dimensional features (usually images) Time series data (movement, sound) Deep Neural Network Classification - Is it a X? Localisation/Segmentation - Where is the X? Anomaly detection - Is the X in an unexpected state? Generative - Generate something new from X (i.e. a dynamic filter to remove noise from a voice)
  • 7. Why do this on device? Cost Transporting data costs money Capacity A huge amount of the data is uninteresting Security Moving data off a device creates a problem Capability Time to action is crucial in some cases i.e. Cost & Feasibility
  • 8. What are the key challenges? A trained model that gives adequate performance in real life situations Reasonable expectations of performance “Good” Data Afterwards: - Get it to run at a reasonable price/performance point for your application Before: - An imaginative understanding of AI capabilities applied to the challenges of your business
  • 9. 9 An example … … everything was possible because we decided to go with our friends GreenWaves Technologies. We started to use the GAP CPU, which is the heart of the system and is handling all the AI computations in a very power efficient way. There are a lot of customers who hardly believe that it is possible to operate on the battery for 4 years still being able to deliver this type of technology Łukasz Szelejewski, CTO, Kontakt.io
  • 10. 10 What is now possible? Accurate person or object detection with a few 100s of micro joules Complex, multi stage pipelines that can run for years on a battery As usual combining industry knowledge with technical possibility is the key barrier
  • 11. Where is this going? More pervasive intelligence Smarter sensors (at component level) Sensors will embed ‘horizontal’ features e.g. Human voice wake-up in microphone Smarter products Products will adapt intelligently to their environment e.g. Sound adapts to wearer and situation
  • 12. 12 Company Proprietary GREENWAVES TECHNOLOGIES 28 Cours Jean Jaurès 38000 Grenoble France www.greenwaves-technologies.com Thank You