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Scaling AI:
Science, Healthcare and more…
Wei Li
VP & GM, Artificial Intelligence and
Analytics (AIA)
GITEX 2021
https://www.youtube.com/watch?v=mC9jNhWfFQo
Intel Confidential
Department or Event Name 3
Intel – GITEX 2021 3
GPU ACCELERATORS
CPU
GENERAL PURPOSE PURPOSE BUILT
Intel Confidential
Department or Event Name 4
Intel – GITEX 2021 4
Deploy
Create Machine Learning &
Deep Learning Models
Engineer Data
Container Repository
oneContainer
Developer Sandbox
DevCloud
MLOps
Cnvrg.io
Accelerate End to End Data Science and AI AI Analytics Toolkit
Connect AI to Big Data E2E Apps: RecSys, Time Series, PPML
BigDL
(Analytics Zoo)
Data Analytics at Scale Optimized Frameworks and Middleware Optimize and Deploy Models
oneDNN oneMKL
oneDAL oneCCL
Write Once
Deploy
Anywhere
Automate
Model Tuning
AutoML
Automate
Low-Precision
Optimization
OpenVINO
Toolkit
SigOpt
Neural
Compressor
(LPOT)
* Other names and brands may be claimed as the property of others
Intel Confidential
Department or Event Name 5
Intel – GITEX 2021 5
10 - 100x
Up to
HW Acceleration
With SW
Acceleration
Photo Source: NASA
Source: Intel, https://venturebeat.com/2021/09/22/software-ai-accelerators-ai-performance-boost-for-free
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex
For details: https://venturebeat.com/2021/09/22/software-ai-accelerators-ai-performance-
boost-for-free/
Intel Confidential
Department or Event Name 6
Intel – GITEX 2021 6
* Other names and brands may be claimed as the property of others
Intel Confidential
Department or Event Name 7
Intel – GITEX 2021 7
Sources: Conference paper: 10th International Conference on Pattern Recognition Applications and Methods
Blog: https://www.nextplatform.com/2021/02/01/cern-uses-dlboost-oneapi-to-juice-inference-without-accuracy-loss
* Other names and brands may be claimed as the property of others
Original Model
Low Precision Model
Compressed Model
Intel Neural Compressor
Quantization
Pruning/Sparsity
ML-Driven Auto-Tuning
▪ Deep Generative Adversarial Networks (GAN) models can
replace Monte Carlo simulation to significantly save
computation needs and ensure computing requirements
remain manageable
▪ Simulations are Essential to All High Energy Physics
Experiments
▪ Complex physics and geometry modeling requires >50%
power of worldwide LHC Computing Grid (WLCG)
▪ Faster inference via INC allows GAN models to generate data
on the fly delivering more timely simulations
Intel Confidential
Department or Event Name 8
Intel – GITEX 2021 8
med.upenn.edu/cbica/fets/
How much better does each institution do when
training on the full data vs. just their own data?
Finding tumors from MRIs
Source: med.upenn.edu/cbica/fets/. Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex
* Other names and brands may be claimed as the propertyof others
on the hold-out
BraTS data
17%
BETTER
on their own
validation data
2.6%
BETTER
Intel Federated Learning (OpenFL)
and Intel SGX
https://pypi.org/project/openfl/
Secure Distributed Machine Learning
• Machine Learning collaboration without
sharing sensitive data
(such as patient records, financial data, IP)
• Intel Software Guard eXtensions protect
data in use with HW-hardened enclaves
Intel Confidential
Department or Event Name 9
Intel – GITEX 2021 9
Deployment
Model
Data
Large History
of Transaction Records
(>1 Billion)
Personalized
Recommendations
Improving the customer experience, new product campaign performance, and better personalized
recommendation accuracy by using the deep learning-based neural recommendation models
Source: https://software.intel.com/content/www/us/en/develop/articles/deep-learning-with-analytic-zoo-optimizes-mastercard-recommender-ai-service.html
* Other names and brands may be claimed as the property of others
+
Domain
Specific
Solutions
RecSys
Recommendation
System
Time
Series
PPML
Privacy
Preserving ML
End-to-End
Pipeline
Distributed DL
(TF/PyTorch/OpenVINO) on Big Data
BigDL
(Distributed Deep Learning Framework for Spark)
K8s Cloud
Laptop Hadoop/
Spark
Intel’s Open Source Big Data AI Toolkit
Intel Confidential
Department or Event Name 10
Intel – GITEX 2021 10
AI is driving new insights and usages in every industry
Intel offers full hardware + open software tools
We are ready to scale
Learn more about Intel’s tools and
partnerships at ai.intel.com
Software and workloads used in performance tests may have been optimized for
performance only on Intel microprocessors.
Performance varies by use, configuration and other factors. Learn more at
www.Intel.com/PerformanceIndex.
Performance results are based on testing as of dates shown in configurations and
may not reflect all publicly available updates. See backup for configuration details.
Intel technologies may require enabled hardware, software, or service activation.
No product or component can be absolutely secure.
Your costs and results may vary.
© Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of
Intel Corporation or its subsidiaries.
Other names and brands may be claimed as the property of others.
AI for good: Scaling AI in science, healthcare, and more.

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AI for good: Scaling AI in science, healthcare, and more.

  • 1. Scaling AI: Science, Healthcare and more… Wei Li VP & GM, Artificial Intelligence and Analytics (AIA) GITEX 2021
  • 3. Intel Confidential Department or Event Name 3 Intel – GITEX 2021 3 GPU ACCELERATORS CPU GENERAL PURPOSE PURPOSE BUILT
  • 4. Intel Confidential Department or Event Name 4 Intel – GITEX 2021 4 Deploy Create Machine Learning & Deep Learning Models Engineer Data Container Repository oneContainer Developer Sandbox DevCloud MLOps Cnvrg.io Accelerate End to End Data Science and AI AI Analytics Toolkit Connect AI to Big Data E2E Apps: RecSys, Time Series, PPML BigDL (Analytics Zoo) Data Analytics at Scale Optimized Frameworks and Middleware Optimize and Deploy Models oneDNN oneMKL oneDAL oneCCL Write Once Deploy Anywhere Automate Model Tuning AutoML Automate Low-Precision Optimization OpenVINO Toolkit SigOpt Neural Compressor (LPOT) * Other names and brands may be claimed as the property of others
  • 5. Intel Confidential Department or Event Name 5 Intel – GITEX 2021 5 10 - 100x Up to HW Acceleration With SW Acceleration Photo Source: NASA Source: Intel, https://venturebeat.com/2021/09/22/software-ai-accelerators-ai-performance-boost-for-free Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex For details: https://venturebeat.com/2021/09/22/software-ai-accelerators-ai-performance- boost-for-free/
  • 6. Intel Confidential Department or Event Name 6 Intel – GITEX 2021 6 * Other names and brands may be claimed as the property of others
  • 7. Intel Confidential Department or Event Name 7 Intel – GITEX 2021 7 Sources: Conference paper: 10th International Conference on Pattern Recognition Applications and Methods Blog: https://www.nextplatform.com/2021/02/01/cern-uses-dlboost-oneapi-to-juice-inference-without-accuracy-loss * Other names and brands may be claimed as the property of others Original Model Low Precision Model Compressed Model Intel Neural Compressor Quantization Pruning/Sparsity ML-Driven Auto-Tuning ▪ Deep Generative Adversarial Networks (GAN) models can replace Monte Carlo simulation to significantly save computation needs and ensure computing requirements remain manageable ▪ Simulations are Essential to All High Energy Physics Experiments ▪ Complex physics and geometry modeling requires >50% power of worldwide LHC Computing Grid (WLCG) ▪ Faster inference via INC allows GAN models to generate data on the fly delivering more timely simulations
  • 8. Intel Confidential Department or Event Name 8 Intel – GITEX 2021 8 med.upenn.edu/cbica/fets/ How much better does each institution do when training on the full data vs. just their own data? Finding tumors from MRIs Source: med.upenn.edu/cbica/fets/. Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex * Other names and brands may be claimed as the propertyof others on the hold-out BraTS data 17% BETTER on their own validation data 2.6% BETTER Intel Federated Learning (OpenFL) and Intel SGX https://pypi.org/project/openfl/ Secure Distributed Machine Learning • Machine Learning collaboration without sharing sensitive data (such as patient records, financial data, IP) • Intel Software Guard eXtensions protect data in use with HW-hardened enclaves
  • 9. Intel Confidential Department or Event Name 9 Intel – GITEX 2021 9 Deployment Model Data Large History of Transaction Records (>1 Billion) Personalized Recommendations Improving the customer experience, new product campaign performance, and better personalized recommendation accuracy by using the deep learning-based neural recommendation models Source: https://software.intel.com/content/www/us/en/develop/articles/deep-learning-with-analytic-zoo-optimizes-mastercard-recommender-ai-service.html * Other names and brands may be claimed as the property of others + Domain Specific Solutions RecSys Recommendation System Time Series PPML Privacy Preserving ML End-to-End Pipeline Distributed DL (TF/PyTorch/OpenVINO) on Big Data BigDL (Distributed Deep Learning Framework for Spark) K8s Cloud Laptop Hadoop/ Spark Intel’s Open Source Big Data AI Toolkit
  • 10. Intel Confidential Department or Event Name 10 Intel – GITEX 2021 10 AI is driving new insights and usages in every industry Intel offers full hardware + open software tools We are ready to scale Learn more about Intel’s tools and partnerships at ai.intel.com
  • 11. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates. See backup for configuration details. Intel technologies may require enabled hardware, software, or service activation. No product or component can be absolutely secure. Your costs and results may vary. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.