SlideShare a Scribd company logo
Introduction to Today’s
Program – How to Get the
Most Out of the Summit
Jeff Bier
Edge AI and Vision Alliance
May 28, 2021
Important Update: Felix Baum (Qualcomm)
Session Rescheduled -- 12:30 pm PT Today
Find it on the Event Agenda,
then click on “Send to Calendar” to add
to your Outlook or Google Calendar, or
click on “Watch Livestream”
4
Important Update: Hailo/NEC Session
Rescheduled -- for Now!
Find it on the Event Agenda,
then click on “Watch Livestream”
5
• Thanks and feedback
• Applications
• Technology trends
• Program highlights
• Platform tips
6
My Topics
7
Thank You!
• Derya Akkaynak
• Randy Allen
• Mark Baker
• Dino Brusco
• Brian Dipert
• Nik Gagvani
• DJ Gilmore
8
Thank You, Moderators!
• Nathan Levy
• Craig Lytle
• Doug Perry
• Shweta Shrivastava
• James Smith
• Michael Stewart
• Tom Vogelsong
Edge AI and Vision Alliance Members
9
10
Your Feedback
11
Your Feedback
info@edge-ai-vision.com
Today’s Schedule
12
Applications: Smart Spaces
Source: Amazon
Source: Ringdoorbell.eu
Source: cpb.gov
Source: Hortdaily.com
Source: Petcube
Source: Identified Technologies
Source: Compology
Source: Orbital Insight
13
Park Assist:
Find an Open Spot; Find Your Car
https://www.youtube.com/watch?v=mQ6wN0pUsVY
14
15
Smart-Spaces-Related Sessions
Depth Sensing Proliferates
Image: appleinsider.com
Image: Skydio via highways.today
Image: pcc.disam.etsii.upm.es
16
Use of 3D Perception in
Vision Products
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020
17
18
Depth-Sensing-Related Sessions
Autonomous Machines
Source: iRobot
Source: Knightscope
Source: Seegrid
Source: Blue River Technology
Source: Bossa Nova Robotics
Source: Restoration Robotics
19
20
Autonomous Flight
Fast-Paced Live Technology Demos
21
Find the building block technologies you need with
fast-paced, live Technology Demos!
Last Chance – TODAY!
10:00 am – 11:00 am PT
Demos Repeat Every 15 Minutes
Demos will repeat every 15 minutes within their
scheduled one-hour live blocks each day. Most
demos appear every day of the event.
22
Are You a Safari User?
Safari users will experience problems connecting to Zoom audio.
Please use a different browser to visit the live Technology Demos.
23
Exhibitors
24
Learn More by Visiting Exhibitors
Click the company name link to
learn more and connect!
25
Meet with Exhibitors
Request a meeting
to efficiently
get expert answers
to your questions!
27
Download Session Slides
Click the “Get Session Content” button to
download slides after the live session.
Recordings of Previous Live Sessions
28
To access recordings of sessions
previously presented live, click on
“Event Agenda,” then scroll up
through the agenda.
On-Demand-Only Content
29
• 28 high-quality sessions in the On-Demand Only section!
• Fundamentals, Technical Insights, and Business Insights tracks
Thanks to Our Sponsors!
30
PREMIER
Thanks to Our Sponsors!
31
PREMIER
Find It on the Agenda
…then press the “play” button
to launch the stream.
Click on the session title for details…
32
CANDIDATES
Extremely Diverse Applications
cpb.gov Orcam
Amazon
Ringdoorbell.eu Hortdaily.com
ultrasoundtechnicalschools.com
Compology
Blue River Technology
iRobot
Sight Diagnostics
Skydio via Medium
• Leveraging smartphone-focused innovation
into many other markets
• From low-power, always-on devices like
smartphones and earbuds, through IoT and
automotive, to data center
• Big investments in software and tools as
well as silicon
• Emphasis on advancing techniques for DNN
quantization and compression
• AI Model Efficiency Toolkit (AIMET)
• Data-free quantization
• Adaptive rounding
35
Ziad Asghar – Qualcomm:
From Edge to Cloud
Source: Ziad Asghar, Qualcomm
Applications: Health and Safety
Source: HeartFlow
Source: Opternative
Source: VirtuSense Source: Reflexion Health
Source: Sight Diagnostics
36
• Amassing data for medical applications
can be challenging due to privacy
considerations
• Often, we are looking for rare conditions,
so data sets are imbalanced
• Using self-supervised feature extraction
approach to improve the learning process
when the number of images is small
• 95% accurate in detecting COVID from
chest X-rays
37
Patrick Bangert (Samsung) –
Working with Small Datasets
Source: Patrick Bangert, Samsung
Use of Neural Networks in
Vision Applications
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020 38
A Golden Era of Embedded AI Processors
(From the Embedded Vision and Visual AI Industry Map)
bit.ly/VisionIndustryMap
Silicon IP Processors
39
Most Challenging Areas of Computer Vision
Product Development
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
40
Type of Processor Used for
Deployment of Vision Tasks
Ranked as one of top three
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
41
Processors Used for Vision Tasks
in Industrial Applications
Source: Edge AI and Vision Alliance,
Computer Vision Developer Survey, Nov. 2020
42
Algorithms — What We Imagine
Command:
Engage
emergency
braking
Trained Deep Neural Network
Camera
Useful Information
Image: freeCodeCamp.org
Typical Composite Real-World Algorithm
Estimating % of People Wearing Masks
Image binary classifier
Input
frames
Head detector
Face classifier
(mask / no
mask)
Pose
detector
Tracking
algorithm
Head box
heuristic
Pose
keypoints
Keypoint scores
Estimated
keypoints
(smoother)
Face
bounding
boxes
People counting
module
Person ID
Face
classification
score [0,100]
Source: Tryolabs
(diagram modified)
% of People
Wearing Masks
44
CANDIDATES
• AI chip start-up investing heavily
in software tools
• Addressing the full application
life cycle
• Utilizing an AI-based conversational
and visual user interface
46
Dmitry Zakharchenko (Blaize) –
Using AI to Develop AI
Source: Dmitry Zakharchenko, Blaize
• XXX
• XXX
• XXX
• XXX
47
Add an Intel session? [PL reviewing]
Source: Patrick Bangert, Samsung
Update
Use of Neural Networks in Vision Applications
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020
bit.ly/
DeveloperSurvey
WhitePaper2020
Using Non-Neural Network Algorithms to Perform
Computer Vision Functions
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
Embedded Vision and Visual AI Industry Map
LitterCam
https://youtu.be/0_S1zoYhiP0
Challenge: Many Technology Choices
Images: Canziani, Culurciello, Paszke; Maruti Techlabs; Edge AI and Vision Alliance
Type of Processor Used for Deployment of Vision Tasks
Ranked as one of top three
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
Processors Used for Vision Tasks in Industrial Applications
Source: Edge AI and Vision Alliance,
Computer Vision Developer Survey, Nov. 2020
A Golden Era of Embedded AI Processors
(From the Embedded Vision and Visual AI Industry Map)
bit.ly/VisionIndustryMap
Silicon IP Processors
How is Your Neural Network Deployed
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
Applications: Autonomous Machines
Source: iRobot
Source: Knightscope
Source: Seegrid
Source: Blue River Technology
Source: Bossa Nova Robotics
Source: Restoration Robotics
Skydio Self-Piloting Drone Surveys Roofs
https://www.youtube.com/watch?v=MSy_06aOBzg
58
Abyss Solutions
https://www.youtube.com/watch?v=kcmKD_jI9rc
Applications: Health and Safety
Source: HeartFlow
Source: Opternative
Source: VirtuSense Source: Reflexion Health
Source: Sight Diagnostics
Millie Fit: Your AI Pilates Trainer
https://www.youtube.com/watch?v=RYhWvJgIcsE
PARKING LOT
The Edge AI and Vision Alliance (www.edge-ai-vision.com) is a partnership
of ~100 leading edge AI and vision technology and services suppliers, and
solutions providers
Mission: To inspire and empower engineers to design products that
perceive and understand.
The Alliance provides low-cost, high-quality technical educational
resources for product developers
Register for updates at www.edge-ai-vision.com
The Alliance enables edge AI and vision technology providers to grow their
businesses through leads, partnerships, and insights
For membership, email us: membership@edge-ai-vision.com
Empowering Product Creators to
Harness Edge AI and Vision
Find It on the Agenda
…then press the “play” button
to launch the stream.
Click on the session title for details…
Conference Tracks
ENABLING TECHNOLOGIES
FUNDAMENTALS
ENABLING TECHNOLOGIES
TECHNICAL INSIGHTS
BUSINESS INSIGHTS
Most Challenging Areas of Computer Vision
Product Development
Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
CONGRATULATIONS 2021 WINNERS!
Best
Edge AI
and Vision
Product
Questions for the Speaker?
Ask your questions to our
speakers any time using
the Chat tab.
Variety of Session Formats
69
Technology Demos Format
70
Get your questions answered ➔
Filter the Demos
Filter by track to hone in the demos of interest to you
Add Demos to Your Calendar
Click “Send to Calendar” to add to your
Outlook or Google calendar.
Troubleshooting
Problems with audio/video browser permissions?
Refresh your browser window.
Still Need Help?
If you're still having trouble...
Reach out to our support team via the Chat or Help
icon in the lower left of your screen.
Meet with Exhibitors
Request a meeting
to efficiently
get expert answers
to your questions!
On May 28 (Fri.) at 9 am PT I will:
• Recap Summit highlights from the past day or two
• Preview what’s coming up next
• Share data and insights, including:
• Results from the Edge AI and Vision Alliance’s Computer Vision Developer Survey
• Observations on key technology and industry challenges
• “Lighthouse” applications
• Market research highlights
• Join me!
76
Daily Remarks with Jeff Bier
Update or remove
SeeWhoWants toConnectWithYou…
Click
“Show Interest”
to complete
the connection.
See Who Wants to Meet With You…
Accept meeting requests to schedule live
conversations with colleagues.
• Domain-specific architectures (DSAs) are the way forward
• Domain-specific languages are key to exploiting DSAs
• Importance of the software stack
• Raising the hardware/software interface enables processor
innovation
• Less is more: It’s harder to come up with simple solutions,
but they accelerate progress
• Take the time for a quantitative approach
• Good benchmarks are essential
• The market is impatient!
79
2020 David Patterson Keynote
Don’t have a slide on Patterson – maybe mention in passing.

More Related Content

What's hot

“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...
“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...
“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...
Edge AI and Vision Alliance
 
"Processors for Embedded Vision: Technology and Market Trends," A Presentatio...
"Processors for Embedded Vision: Technology and Market Trends," A Presentatio..."Processors for Embedded Vision: Technology and Market Trends," A Presentatio...
"Processors for Embedded Vision: Technology and Market Trends," A Presentatio...
Edge AI and Vision Alliance
 
Implementing AI: Running AI at the Edge: Adapting AI to available resource in...
Implementing AI: Running AI at the Edge: Adapting AI to available resource in...Implementing AI: Running AI at the Edge: Adapting AI to available resource in...
Implementing AI: Running AI at the Edge: Adapting AI to available resource in...
KTN
 
Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...
Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...
Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...
KTN
 
MIDIH i-Deal-profile experiment
MIDIH i-Deal-profile experimentMIDIH i-Deal-profile experiment
MIDIH i-Deal-profile experiment
MIDIH_EU
 
"Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres...
"Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres..."Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres...
"Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres...
Edge AI and Vision Alliance
 
MIDIH D-Cube-INART presentation
MIDIH D-Cube-INART presentationMIDIH D-Cube-INART presentation
MIDIH D-Cube-INART presentation
MIDIH_EU
 
MIDIH TERA-Delta experment
MIDIH TERA-Delta expermentMIDIH TERA-Delta experment
MIDIH TERA-Delta experment
MIDIH_EU
 
EdgeX Foundry - Open Interop Platform for the IoT Edge.
EdgeX  Foundry - Open Interop Platform for the IoT Edge. EdgeX  Foundry - Open Interop Platform for the IoT Edge.
EdgeX Foundry - Open Interop Platform for the IoT Edge.
Barton George
 
"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres...
"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres..."Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres...
"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres...
Edge AI and Vision Alliance
 
MIDIH Realmax OY-3D-IoT experiment
MIDIH Realmax OY-3D-IoT experimentMIDIH Realmax OY-3D-IoT experiment
MIDIH Realmax OY-3D-IoT experiment
MIDIH_EU
 
"2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ...
"2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ..."2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ...
"2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ...
Edge AI and Vision Alliance
 
"Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic...
"Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic..."Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic...
"Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic...
Edge AI and Vision Alliance
 
Duratag ar moonstruck midih-presentation_oc2
Duratag ar moonstruck midih-presentation_oc2Duratag ar moonstruck midih-presentation_oc2
Duratag ar moonstruck midih-presentation_oc2
MIDIH_EU
 
"A Practitioner’s Guide to Commercializing Applications of Computer Vision," ...
"A Practitioner’s Guide to Commercializing Applications of Computer Vision," ..."A Practitioner’s Guide to Commercializing Applications of Computer Vision," ...
"A Practitioner’s Guide to Commercializing Applications of Computer Vision," ...
Edge AI and Vision Alliance
 
"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...
"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC..."Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...
"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...
Edge AI and Vision Alliance
 
“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...
“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...
“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...
Edge AI and Vision Alliance
 
Arpan pal gridcomputing_iot_uworld2013
Arpan pal gridcomputing_iot_uworld2013Arpan pal gridcomputing_iot_uworld2013
Arpan pal gridcomputing_iot_uworld2013
Arpan Pal
 
"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech
"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech
"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech
Edge AI and Vision Alliance
 
Liu Ren at AI Frontiers: Sensor-aware Augmented Reality
Liu Ren at AI Frontiers: Sensor-aware Augmented RealityLiu Ren at AI Frontiers: Sensor-aware Augmented Reality
Liu Ren at AI Frontiers: Sensor-aware Augmented Reality
AI Frontiers
 

What's hot (20)

“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...
“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...
“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive ...
 
"Processors for Embedded Vision: Technology and Market Trends," A Presentatio...
"Processors for Embedded Vision: Technology and Market Trends," A Presentatio..."Processors for Embedded Vision: Technology and Market Trends," A Presentatio...
"Processors for Embedded Vision: Technology and Market Trends," A Presentatio...
 
Implementing AI: Running AI at the Edge: Adapting AI to available resource in...
Implementing AI: Running AI at the Edge: Adapting AI to available resource in...Implementing AI: Running AI at the Edge: Adapting AI to available resource in...
Implementing AI: Running AI at the Edge: Adapting AI to available resource in...
 
Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...
Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...
Implementing AI: Running AI at the Edge: ClickCV – Providing high-performance...
 
MIDIH i-Deal-profile experiment
MIDIH i-Deal-profile experimentMIDIH i-Deal-profile experiment
MIDIH i-Deal-profile experiment
 
"Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres...
"Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres..."Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres...
"Highly Efficient, Scalable Vision and AI Processors IP for the Edge," a Pres...
 
MIDIH D-Cube-INART presentation
MIDIH D-Cube-INART presentationMIDIH D-Cube-INART presentation
MIDIH D-Cube-INART presentation
 
MIDIH TERA-Delta experment
MIDIH TERA-Delta expermentMIDIH TERA-Delta experment
MIDIH TERA-Delta experment
 
EdgeX Foundry - Open Interop Platform for the IoT Edge.
EdgeX  Foundry - Open Interop Platform for the IoT Edge. EdgeX  Foundry - Open Interop Platform for the IoT Edge.
EdgeX Foundry - Open Interop Platform for the IoT Edge.
 
"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres...
"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres..."Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres...
"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Pres...
 
MIDIH Realmax OY-3D-IoT experiment
MIDIH Realmax OY-3D-IoT experimentMIDIH Realmax OY-3D-IoT experiment
MIDIH Realmax OY-3D-IoT experiment
 
"2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ...
"2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ..."2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ...
"2D and 3D Sensing: Markets, Applications, and Technologies," a Presentation ...
 
"Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic...
"Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic..."Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic...
"Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Applic...
 
Duratag ar moonstruck midih-presentation_oc2
Duratag ar moonstruck midih-presentation_oc2Duratag ar moonstruck midih-presentation_oc2
Duratag ar moonstruck midih-presentation_oc2
 
"A Practitioner’s Guide to Commercializing Applications of Computer Vision," ...
"A Practitioner’s Guide to Commercializing Applications of Computer Vision," ..."A Practitioner’s Guide to Commercializing Applications of Computer Vision," ...
"A Practitioner’s Guide to Commercializing Applications of Computer Vision," ...
 
"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...
"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC..."Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...
"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...
 
“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...
“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...
“Productizing Edge AI Across Applications and Verticals: Case Study and Insig...
 
Arpan pal gridcomputing_iot_uworld2013
Arpan pal gridcomputing_iot_uworld2013Arpan pal gridcomputing_iot_uworld2013
Arpan pal gridcomputing_iot_uworld2013
 
"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech
"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech
"Can Simulation Solve the Training Data Problem?," a Presentation from Mindtech
 
Liu Ren at AI Frontiers: Sensor-aware Augmented Reality
Liu Ren at AI Frontiers: Sensor-aware Augmented RealityLiu Ren at AI Frontiers: Sensor-aware Augmented Reality
Liu Ren at AI Frontiers: Sensor-aware Augmented Reality
 

Similar to May 2021 Embedded Vision Summit Opening Remarks (May 28)

May 2023 Embedded Vision Summit Opening Remarks (May 23)
May 2023 Embedded Vision Summit Opening Remarks (May 23)May 2023 Embedded Vision Summit Opening Remarks (May 23)
May 2023 Embedded Vision Summit Opening Remarks (May 23)
Edge AI and Vision Alliance
 
May 2021 Embedded Vision Summit Opening Remarks (May 26)
May 2021 Embedded Vision Summit Opening Remarks (May 26)May 2021 Embedded Vision Summit Opening Remarks (May 26)
May 2021 Embedded Vision Summit Opening Remarks (May 26)
Edge AI and Vision Alliance
 
May 2021 Embedded Vision Summit Opening Remarks (May 27)
May 2021 Embedded Vision Summit Opening Remarks (May 27)May 2021 Embedded Vision Summit Opening Remarks (May 27)
May 2021 Embedded Vision Summit Opening Remarks (May 27)
Edge AI and Vision Alliance
 
ANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit Shah
ANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit ShahANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit Shah
ANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit Shah
AgileNetwork
 
How Spotify reaches the 80%+ of satisfaction of the techies making developers...
How Spotify reaches the 80%+ of satisfaction of the techies making developers...How Spotify reaches the 80%+ of satisfaction of the techies making developers...
How Spotify reaches the 80%+ of satisfaction of the techies making developers...
Francesco Corti
 
When AOI meets AI
When AOI meets AIWhen AOI meets AI
When AOI meets AI
CHENHuiMei
 
ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...
ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...
ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...
ITCamp
 
Microsoft IT Academy Summit 2011
Microsoft IT Academy Summit 2011Microsoft IT Academy Summit 2011
Microsoft IT Academy Summit 2011
Lee Stott
 
STS Platform
STS PlatformSTS Platform
STS Platform
Hank Lydick
 
Session 2023-11.pptx
Session 2023-11.pptxSession 2023-11.pptx
Session 2023-11.pptx
AndreeaTom
 
Android design lecture #1
Android design   lecture #1Android design   lecture #1
Android design lecture #1
Vitali Pekelis
 
Media and Entertainment Industry Analysis
Media and Entertainment Industry AnalysisMedia and Entertainment Industry Analysis
Media and Entertainment Industry Analysis
Draup
 
Using Algorithmia to leverage AI and Machine Learning APIs
Using Algorithmia to leverage AI and Machine Learning APIsUsing Algorithmia to leverage AI and Machine Learning APIs
Using Algorithmia to leverage AI and Machine Learning APIs
Rakuten Group, Inc.
 
Introducción al Machine Learning Automático
Introducción al Machine Learning AutomáticoIntroducción al Machine Learning Automático
Introducción al Machine Learning Automático
Sri Ambati
 
What's Next: Ogilvy x Google Chatbots Partnership
What's Next: Ogilvy x Google Chatbots PartnershipWhat's Next: Ogilvy x Google Chatbots Partnership
What's Next: Ogilvy x Google Chatbots Partnership
Ogilvy Consulting
 
Final Year Project Report
Final Year Project ReportFinal Year Project Report
Final Year Project Report
ChongKit liew
 
Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...
Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...
Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...
IDEAS - Int'l Data Engineering and Science Association
 
Eyes of things
Eyes of thingsEyes of things
Eyes of things
Eyes of Things
 
DataArt
DataArtDataArt
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdf
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdfOSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdf
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdf
Altinity Ltd
 

Similar to May 2021 Embedded Vision Summit Opening Remarks (May 28) (20)

May 2023 Embedded Vision Summit Opening Remarks (May 23)
May 2023 Embedded Vision Summit Opening Remarks (May 23)May 2023 Embedded Vision Summit Opening Remarks (May 23)
May 2023 Embedded Vision Summit Opening Remarks (May 23)
 
May 2021 Embedded Vision Summit Opening Remarks (May 26)
May 2021 Embedded Vision Summit Opening Remarks (May 26)May 2021 Embedded Vision Summit Opening Remarks (May 26)
May 2021 Embedded Vision Summit Opening Remarks (May 26)
 
May 2021 Embedded Vision Summit Opening Remarks (May 27)
May 2021 Embedded Vision Summit Opening Remarks (May 27)May 2021 Embedded Vision Summit Opening Remarks (May 27)
May 2021 Embedded Vision Summit Opening Remarks (May 27)
 
ANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit Shah
ANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit ShahANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit Shah
ANIn Pune July 2023 |Prompt Engineering and AI first SDLC by Abhijit Shah
 
How Spotify reaches the 80%+ of satisfaction of the techies making developers...
How Spotify reaches the 80%+ of satisfaction of the techies making developers...How Spotify reaches the 80%+ of satisfaction of the techies making developers...
How Spotify reaches the 80%+ of satisfaction of the techies making developers...
 
When AOI meets AI
When AOI meets AIWhen AOI meets AI
When AOI meets AI
 
ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...
ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...
ITCamp 2013 - Tim Huckaby - Kinect for Windows - Designing Software for Gestu...
 
Microsoft IT Academy Summit 2011
Microsoft IT Academy Summit 2011Microsoft IT Academy Summit 2011
Microsoft IT Academy Summit 2011
 
STS Platform
STS PlatformSTS Platform
STS Platform
 
Session 2023-11.pptx
Session 2023-11.pptxSession 2023-11.pptx
Session 2023-11.pptx
 
Android design lecture #1
Android design   lecture #1Android design   lecture #1
Android design lecture #1
 
Media and Entertainment Industry Analysis
Media and Entertainment Industry AnalysisMedia and Entertainment Industry Analysis
Media and Entertainment Industry Analysis
 
Using Algorithmia to leverage AI and Machine Learning APIs
Using Algorithmia to leverage AI and Machine Learning APIsUsing Algorithmia to leverage AI and Machine Learning APIs
Using Algorithmia to leverage AI and Machine Learning APIs
 
Introducción al Machine Learning Automático
Introducción al Machine Learning AutomáticoIntroducción al Machine Learning Automático
Introducción al Machine Learning Automático
 
What's Next: Ogilvy x Google Chatbots Partnership
What's Next: Ogilvy x Google Chatbots PartnershipWhat's Next: Ogilvy x Google Chatbots Partnership
What's Next: Ogilvy x Google Chatbots Partnership
 
Final Year Project Report
Final Year Project ReportFinal Year Project Report
Final Year Project Report
 
Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...
Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...
Microsoft Cognitive Service, Tap into the Power of Machine Learning with Easy...
 
Eyes of things
Eyes of thingsEyes of things
Eyes of things
 
DataArt
DataArtDataArt
DataArt
 
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdf
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdfOSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdf
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdf
 

More from Edge AI and Vision Alliance

“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...
“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...
“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...
Edge AI and Vision Alliance
 
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Edge AI and Vision Alliance
 
“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...
“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...
“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...
Edge AI and Vision Alliance
 
“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...
“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...
“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...
Edge AI and Vision Alliance
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
"OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a...
"OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a..."OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a...
"OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a...
Edge AI and Vision Alliance
 
“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...
“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...
“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...
Edge AI and Vision Alliance
 
“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...
“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...
“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...
Edge AI and Vision Alliance
 
“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
“What’s Next in On-device Generative AI,” a Presentation from Qualcomm“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
Edge AI and Vision Alliance
 
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
Edge AI and Vision Alliance
 
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
Edge AI and Vision Alliance
 
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
Edge AI and Vision Alliance
 
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
Edge AI and Vision Alliance
 
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
Edge AI and Vision Alliance
 
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
Edge AI and Vision Alliance
 
“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...
Edge AI and Vision Alliance
 
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
Edge AI and Vision Alliance
 
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
Edge AI and Vision Alliance
 
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
Edge AI and Vision Alliance
 
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
Edge AI and Vision Alliance
 

More from Edge AI and Vision Alliance (20)

“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...
“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...
“Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Numbe...
 
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
 
“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...
“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...
“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,...
 
“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...
“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...
“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Prese...
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
"OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a...
"OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a..."OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a...
"OpenCV for High-performance, Low-power Vision Applications on Snapdragon," a...
 
“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...
“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...
“Deploying Large Models on the Edge: Success Stories and Challenges,” a Prese...
 
“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...
“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...
“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,...
 
“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
“What’s Next in On-device Generative AI,” a Presentation from Qualcomm“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
 
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
 
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
 
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
 
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
 
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
 
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
 
“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...
 
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
 
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
 
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
 
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
 

Recently uploaded

How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
Pixlogix Infotech
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 

Recently uploaded (20)

How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 

May 2021 Embedded Vision Summit Opening Remarks (May 28)

  • 1. Introduction to Today’s Program – How to Get the Most Out of the Summit Jeff Bier Edge AI and Vision Alliance May 28, 2021
  • 2. Important Update: Felix Baum (Qualcomm) Session Rescheduled -- 12:30 pm PT Today Find it on the Event Agenda, then click on “Send to Calendar” to add to your Outlook or Google Calendar, or click on “Watch Livestream” 4
  • 3. Important Update: Hailo/NEC Session Rescheduled -- for Now! Find it on the Event Agenda, then click on “Watch Livestream” 5
  • 4. • Thanks and feedback • Applications • Technology trends • Program highlights • Platform tips 6 My Topics
  • 6. • Derya Akkaynak • Randy Allen • Mark Baker • Dino Brusco • Brian Dipert • Nik Gagvani • DJ Gilmore 8 Thank You, Moderators! • Nathan Levy • Craig Lytle • Doug Perry • Shweta Shrivastava • James Smith • Michael Stewart • Tom Vogelsong
  • 7. Edge AI and Vision Alliance Members 9
  • 11. Applications: Smart Spaces Source: Amazon Source: Ringdoorbell.eu Source: cpb.gov Source: Hortdaily.com Source: Petcube Source: Identified Technologies Source: Compology Source: Orbital Insight 13
  • 12. Park Assist: Find an Open Spot; Find Your Car https://www.youtube.com/watch?v=mQ6wN0pUsVY 14
  • 14. Depth Sensing Proliferates Image: appleinsider.com Image: Skydio via highways.today Image: pcc.disam.etsii.upm.es 16
  • 15. Use of 3D Perception in Vision Products Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020 17
  • 17. Autonomous Machines Source: iRobot Source: Knightscope Source: Seegrid Source: Blue River Technology Source: Bossa Nova Robotics Source: Restoration Robotics 19
  • 19. Fast-Paced Live Technology Demos 21 Find the building block technologies you need with fast-paced, live Technology Demos! Last Chance – TODAY! 10:00 am – 11:00 am PT
  • 20. Demos Repeat Every 15 Minutes Demos will repeat every 15 minutes within their scheduled one-hour live blocks each day. Most demos appear every day of the event. 22
  • 21. Are You a Safari User? Safari users will experience problems connecting to Zoom audio. Please use a different browser to visit the live Technology Demos. 23
  • 23. Learn More by Visiting Exhibitors Click the company name link to learn more and connect! 25
  • 24. Meet with Exhibitors Request a meeting to efficiently get expert answers to your questions!
  • 25. 27 Download Session Slides Click the “Get Session Content” button to download slides after the live session.
  • 26. Recordings of Previous Live Sessions 28 To access recordings of sessions previously presented live, click on “Event Agenda,” then scroll up through the agenda.
  • 27. On-Demand-Only Content 29 • 28 high-quality sessions in the On-Demand Only section! • Fundamentals, Technical Insights, and Business Insights tracks
  • 28. Thanks to Our Sponsors! 30 PREMIER
  • 29. Thanks to Our Sponsors! 31 PREMIER
  • 30. Find It on the Agenda …then press the “play” button to launch the stream. Click on the session title for details… 32
  • 32. Extremely Diverse Applications cpb.gov Orcam Amazon Ringdoorbell.eu Hortdaily.com ultrasoundtechnicalschools.com Compology Blue River Technology iRobot Sight Diagnostics Skydio via Medium
  • 33. • Leveraging smartphone-focused innovation into many other markets • From low-power, always-on devices like smartphones and earbuds, through IoT and automotive, to data center • Big investments in software and tools as well as silicon • Emphasis on advancing techniques for DNN quantization and compression • AI Model Efficiency Toolkit (AIMET) • Data-free quantization • Adaptive rounding 35 Ziad Asghar – Qualcomm: From Edge to Cloud Source: Ziad Asghar, Qualcomm
  • 34. Applications: Health and Safety Source: HeartFlow Source: Opternative Source: VirtuSense Source: Reflexion Health Source: Sight Diagnostics 36
  • 35. • Amassing data for medical applications can be challenging due to privacy considerations • Often, we are looking for rare conditions, so data sets are imbalanced • Using self-supervised feature extraction approach to improve the learning process when the number of images is small • 95% accurate in detecting COVID from chest X-rays 37 Patrick Bangert (Samsung) – Working with Small Datasets Source: Patrick Bangert, Samsung
  • 36. Use of Neural Networks in Vision Applications Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020 38
  • 37. A Golden Era of Embedded AI Processors (From the Embedded Vision and Visual AI Industry Map) bit.ly/VisionIndustryMap Silicon IP Processors 39
  • 38. Most Challenging Areas of Computer Vision Product Development Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020 40
  • 39. Type of Processor Used for Deployment of Vision Tasks Ranked as one of top three Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020 41
  • 40. Processors Used for Vision Tasks in Industrial Applications Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020 42
  • 41. Algorithms — What We Imagine Command: Engage emergency braking Trained Deep Neural Network Camera Useful Information Image: freeCodeCamp.org
  • 42. Typical Composite Real-World Algorithm Estimating % of People Wearing Masks Image binary classifier Input frames Head detector Face classifier (mask / no mask) Pose detector Tracking algorithm Head box heuristic Pose keypoints Keypoint scores Estimated keypoints (smoother) Face bounding boxes People counting module Person ID Face classification score [0,100] Source: Tryolabs (diagram modified) % of People Wearing Masks 44
  • 44. • AI chip start-up investing heavily in software tools • Addressing the full application life cycle • Utilizing an AI-based conversational and visual user interface 46 Dmitry Zakharchenko (Blaize) – Using AI to Develop AI Source: Dmitry Zakharchenko, Blaize
  • 45. • XXX • XXX • XXX • XXX 47 Add an Intel session? [PL reviewing] Source: Patrick Bangert, Samsung Update
  • 46. Use of Neural Networks in Vision Applications Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020 bit.ly/ DeveloperSurvey WhitePaper2020
  • 47. Using Non-Neural Network Algorithms to Perform Computer Vision Functions Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
  • 48. Embedded Vision and Visual AI Industry Map
  • 50. Challenge: Many Technology Choices Images: Canziani, Culurciello, Paszke; Maruti Techlabs; Edge AI and Vision Alliance
  • 51. Type of Processor Used for Deployment of Vision Tasks Ranked as one of top three Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
  • 52. Processors Used for Vision Tasks in Industrial Applications Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, Nov. 2020
  • 53. A Golden Era of Embedded AI Processors (From the Embedded Vision and Visual AI Industry Map) bit.ly/VisionIndustryMap Silicon IP Processors
  • 54. How is Your Neural Network Deployed Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
  • 55. Applications: Autonomous Machines Source: iRobot Source: Knightscope Source: Seegrid Source: Blue River Technology Source: Bossa Nova Robotics Source: Restoration Robotics
  • 56. Skydio Self-Piloting Drone Surveys Roofs https://www.youtube.com/watch?v=MSy_06aOBzg 58
  • 58. Applications: Health and Safety Source: HeartFlow Source: Opternative Source: VirtuSense Source: Reflexion Health Source: Sight Diagnostics
  • 59. Millie Fit: Your AI Pilates Trainer https://www.youtube.com/watch?v=RYhWvJgIcsE
  • 61. The Edge AI and Vision Alliance (www.edge-ai-vision.com) is a partnership of ~100 leading edge AI and vision technology and services suppliers, and solutions providers Mission: To inspire and empower engineers to design products that perceive and understand. The Alliance provides low-cost, high-quality technical educational resources for product developers Register for updates at www.edge-ai-vision.com The Alliance enables edge AI and vision technology providers to grow their businesses through leads, partnerships, and insights For membership, email us: membership@edge-ai-vision.com Empowering Product Creators to Harness Edge AI and Vision
  • 62. Find It on the Agenda …then press the “play” button to launch the stream. Click on the session title for details…
  • 63. Conference Tracks ENABLING TECHNOLOGIES FUNDAMENTALS ENABLING TECHNOLOGIES TECHNICAL INSIGHTS BUSINESS INSIGHTS
  • 64. Most Challenging Areas of Computer Vision Product Development Source: Edge AI and Vision Alliance, Computer Vision Developer Survey, November 2020
  • 66. Questions for the Speaker? Ask your questions to our speakers any time using the Chat tab.
  • 67. Variety of Session Formats 69
  • 68. Technology Demos Format 70 Get your questions answered ➔
  • 69. Filter the Demos Filter by track to hone in the demos of interest to you
  • 70. Add Demos to Your Calendar Click “Send to Calendar” to add to your Outlook or Google calendar.
  • 71. Troubleshooting Problems with audio/video browser permissions? Refresh your browser window.
  • 72. Still Need Help? If you're still having trouble... Reach out to our support team via the Chat or Help icon in the lower left of your screen.
  • 73. Meet with Exhibitors Request a meeting to efficiently get expert answers to your questions!
  • 74. On May 28 (Fri.) at 9 am PT I will: • Recap Summit highlights from the past day or two • Preview what’s coming up next • Share data and insights, including: • Results from the Edge AI and Vision Alliance’s Computer Vision Developer Survey • Observations on key technology and industry challenges • “Lighthouse” applications • Market research highlights • Join me! 76 Daily Remarks with Jeff Bier Update or remove
  • 76. See Who Wants to Meet With You… Accept meeting requests to schedule live conversations with colleagues.
  • 77. • Domain-specific architectures (DSAs) are the way forward • Domain-specific languages are key to exploiting DSAs • Importance of the software stack • Raising the hardware/software interface enables processor innovation • Less is more: It’s harder to come up with simple solutions, but they accelerate progress • Take the time for a quantitative approach • Good benchmarks are essential • The market is impatient! 79 2020 David Patterson Keynote Don’t have a slide on Patterson – maybe mention in passing.