The document summarizes a Women in AI meetup event held on May 22nd, 2017. It includes an agenda for the event with times for food, introductions, and featured speaker presentations. Two featured speakers are highlighted - Julie Choi, Head of Marketing at Intel's AI Products group, and Anahita Bhiwandiwalla, a Senior Software Engineer at Intel. Their presentations covered topics like how AI is changing different industries, the growth of AI compute cycles and machine learning, and Intel's new class of AI products designed for neural networks. The document also shares Anahita's perspective working with AI through examples of her past research on speaker recognition, language modeling, social network analysis, and healthcare analytics.

1. Women in AI
Kickoff - May 22nd, 2017

2. Welcome!
if hungry
grab_food()
meet_someone_new()
else
meet_someone_new()

3. Nice to meet you
Amara Keller
AI Developer Advocate with Intel
Nervana (AI Products)
@MissAmaraKay

4. Agenda
6 - Grab food, meet someone new
6:15 - Intro, welcome
~6:30 - Featured Speakers!
Julie Choi, Head of Marketing (AI Products, Intel)
Anahita Bhiwandiwalla, Sr. Software Engineer (AI Products,
Intel)
Q&A and Mingling to Follow

5. Things to consider
● Hashtags to use: #WomenInAI #WIAI
● Please adhere to our Code of Conduct.
● Let me know if you are interested in speaking!
● We are hiring: nervanasys.com/careers

6. Ai&beyond
JulieShinChoi
HEADOFMARKETING,AIPRODUCTSGROUP
INTEL
WomeninAImeetup
MAY22,2017

7. 2
background
Nerd marketing
Spelling bee winner
Wife and mom
Slow distance runner

8. 3
Aiischangingeverything
Consumer Health Finance Retail Government Energy Transport Industrial Other
Smart
Assistants
Chatbots
Search
Personalization
Augmented
Reality
Robots
Enhanced
Diagnostics
Drug
Discovery
Patient Care
Research
Sensory
Aids
Algorithmic
Trading
Fraud Detection
Research
Personal
Finance
Risk Mitigation
Support
Experience
Marketing
Merchandising
Loyalty
Supply Chain
Security
Defense
Data
Insights
Safety &
Security
Resident
Engagement
Smarter
Cities
Oil & Gas
Exploration
Smart
Grid
Operational
Improvement
Conservation
Autonomous
Cars
Automated
Trucking
Aerospace
Shipping
Search &
Rescue
Factory
Automation
Predictive
Maintenance
Precision
Agriculture
Field
Automation
Advertising
Education
Gaming
Professional &
IT Services
Telco/Media
Sports
Source: Intel forecast
examples
Earlyadoption

9. 4
AIneedsdataBy 2020…
The average internet user will generate
~1.5GBoftrafficperday
Smart hospitals will generate over
3,000GBperday
Self driving cars will be generating over
4,000GBperday…each
All numbers are approximated
http://www.cisco.com/c/en/us/solutions/service-provider/vni-network-traffic-forecast/infographic.html
http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html
https://datafloq.com/read/self-driving-cars-create-2-petabytes-data-annually/172
http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html
http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html
A connected plane will generate over
40,000GBperday
A connected factory will generate over
1,000,000GBperday
radar ~10-100KB persecond
sonar ~10-100KB persecond
gps ~50KB persecond
lidar ~10-70MB persecond
cameras ~20-40MB persecond
Self driving cars will generate over
4,000GBperday…each

10. 5
Andcompute
AIComputeCycleswillgrow by202012X
mainframes Standards-
basedservers
Cloud
computing
Artificial
intelligence
Datadeluge
COMPUTEbreakthrough
Innovationsurge
Source: Intel forecast

11. 6
Machine Learning
Neural Networks
Deep
Learning AI
Aicontinuestoevolve

12. 7
IntelNervana:AIProducts
ACCELERATEAI by Design
discoverApplied AI Research
evolveHuman Intelligence

13. 8
New class of AI products designed for
neural networks, architected to handle
higher level matrix operations and non-
linearities inherent to this problem space.
Deep Learning & Beyond
Next Level Silicon
AIbydesign

14. 9
Healthcare: Tumor detection
Automotive: Speech interfaces
Positive:
Negative:
Industry: Agricultural Robotics Energy: Oil & Gas
Positive:
Negative:
Genomics: Sequence analysisFinance: Time-series search engine
Query:
Results:
AIapplied

15. 10
libraries Intel® MKL MKL-DNN Intel® MLSL
toolkits
Frameworks
Intel® DAAL
hardware Memory/Storage NetworkingCompute
Intel Distribution
Mlib BigDL
Intel® Nervana™ Graph*
Intel®Nervana™PORTFOLIO
experiences
Intel® Nervana™
DL Software &
Cloud
Computer Vision
*Future
Intel® DL
Training &
Deployment
Intel®
Computer
Vision SDK
Movidius
Fathom
Intel® GO™
Automotive
SDK
*

16. 11
comebuildthefuturewithus
nervanasys.com/careers
email: julie.choi AT intel.com

19. Artificial Intelligence through
my lens
Anahita Bhiwandiwalla
Women in AI Meetup – 05/22/2017

20. About me
Math geek and fitness enthusiast

21. Recognizing Speakers?
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.232.6270&rep=rep1&type=pdf
- All that math actual does something!!!
- I can barely tell the difference between these two speakers
- So much noise! Is anyone even speaking?
- Each speaker has it’s own mathematical representation
- The system improved it’s representation over time!
- Accent/language independent
- Who spoke when in a conversation?
- This is actually useful
THIS IS COOL!
Rewind 8 years ago
to
Mumbai, India

22. Make new words in a Language I don’t know?
http://www.cs.columbia.edu/~rasooli/papers/acl2014.pdf
Rewind 5 years ago
to
New York
- Generate new words! But I am clueless about
Turkish, Tagalog, Pashto
- Prefix/suffix can be modeled?
- Keyword search, okay that I know
- Predict new words you are likely to search for
- Wait did the system learn the rules of the
language before I could even try?
THIS IS SUPER COOL

23. Predicting friends?
https://event.cwi.nl/grades/2013/04-jain-slides.pdf
Rewind 4 years ago
to
Oregon
- Graphs are more than
- Storage matters
- Applying math concepts to derive
insights – recommendations,
filtering, influential nodes, drug
similarity
- Why is all this free?
(READ - Open Source)
HIRED!

24. Patient re-admittance
- Your numbers tell your story!
- Your numbers can also tell you
what may not know, yet.
- What can you do if you know you
are at risk?
- What can your doctor do?
- What can your insurance do?
OKAY I LOVE MY JOB!
Last three
years, Oregon

25. Are these drugs similar?
Last three
years,
Oregon
- Analyzing drug similarity
- Saving lives – side effects, allergies!
- Accessible healthcare
- Helping doctors make decisions

26. http://technologyadvice.com/blog/healthcare/5-dicom-viewers/
http://dicom.nema.org/
Analytics on MRI/CT images
- Assist in healthcare
- Uncover hidden insights
- Validate opinions
- Leverage benefits of
massive data to make
smart models
- Faster time to result
OKAY I LOVE MY JOB ++!
Last three
years,
Oregon

27. What is Artificial Intelligence?
Intelligence exhibited by machines
Better lives!
Automation
Faster
insights
Mind
blowing!
Prediction
and
PrecautionRapid
development

28. Making it possible for everyone
https://www.nervanasys.com/technology/intel-nervana-graph/
NOW

29. Ethical Future
• In our hands(READ: code)
• Humanity

30. Join us J
http://jobs.intel.com/ShowJob/Id/1185284/Distributed-DL-Algorithms-Developer/

31. Thank you J