Qualcomm Incorporated · NASDAQ:QCOM
Qualcomm — Technical Presentation (February 2020)
35 slides from Qualcomm's technical presentation, February 2020
Slide 1: Making AI ubiquitous
Feb 2020 @qualcomm_tech Making AI ubiquitous Qualcomm Technologies, Inc.
Slide 2: Devices, machines, and things are becoming more intelligent
Devices, machines, and things are becoming more intelligent 2
Slide 3: Offering new capabilities to enrich our lives
Reasoning Learn, infer context, Offering new and anticipate capabilities to enrich our lives Perception Action Hear, see, monitor, Act intuitively, and observe interact naturally, and protect privacy 3
Slide 4: A world where virtually everyone and everything is intelligently connected
A world where virtually everyone and everything is intelligently connected 4
Slide 5: The intelligent wireless edge
Distributed autonomy Privacy/security New experiences Immediacy Processing over 5G The intelligent Edge cloud wireless edge Efficiency On-device On-device AI, processing, sensing, Customized/local value Reliability vision,… augmented by edge cloud Process data closest to the source to scale for mass
Slide 6: Process data at the source to scale AI and make sense of a digitized world
Process data at the source to scale AI and make sense of a digitized world Past Today Cloud-centric AI Partially-distributed AI AI training and AI inference Power-efficient in the central cloud on-device AI inference On-device Future Fully-distributed AI With lifelong on-device learning
Slide 7: On-device intelligence is paramount
On-device Privacy intelligence is Reliability paramount Low latency Process data closest to the source, complement the cloud Efficient use of network bandwidth
Slide 8: On-device intelligence is quickly gaining momentum
On-device intelligence is quickly gaining momentum Key segments are expected to see full AI attach rates by 2025 10% AI attach rate 100% AI attach rate 2018 2025 PCs / Smart Mobile Automotive XR Tablets speakers Source: Tractica, 2019
Slide 9: Mobile is becoming the pervasive AI platform
Mobile is becoming the pervasive AI platform ~ 7.8 Billion Cumulative smartphone unit shipments forecast between 2018–2022 Source: IDC Aug. ‘18 9
Slide 10: Bringing AI to the masses
Mobile computing Smart cities Mobile scale changes everything Smart homes Automotive Bringing AI Smartphones to the masses Healthcare Industrial IoT Networking Wearables Extended reality Rapid replacement cycles Superior scale Integrated/optimized technologies 10
Slide 11: AI offers enhanced experiences and new capabilities for smartphones
AI offers enhanced experiences and new capabilities for smartphones True personal assistance Superior photography Extended battery life Natural user interfaces Enhanced connectivity Enhanced security A new development paradigm where things repeatedly improve 11
Slide 12: AI will drive transformation across industries
AI will drive transformation across industries 12
Slide 13: Boundless mobile XR experiences
Boundless mobile XR experiences 13
Slide 14: Shaping the future of transportation
Shaping the future of transportation Personalized driver settings Driver awareness monitoring Greater autonomous capabilities 14
Slide 15: Powering the factory of the future
Powering the factory of the future 15
Slide 16: IoT
Autonomous manufacturing Smart security for home Smart displays Smarter and robotics and enterprise and speakers agriculture More efficient use Home hubs and Sustainable cities Digitized logistics of energy and utilities smart appliances and infrastructure and retail IoT AI for IoT across the home,
Slide 17: Power and thermal efficiency are essential for on-device AI
Power and thermal efficiency are essential for on-device AI The challenge of Constrained mobile AI workloads environment Very compute intensive Must be thermally efficient for sleek, ultra-light designs Large, complicated neural network models Requires long battery life for all-day use Complex concu
Slide 18: Making power efficient AI pervasive
Making power efficient AI pervasive Focusing on high performance HW/SW and optimized network design Efficient Algorithmic Software hardware advancements tools Developing heterogeneous compute to Algorithmic research that benefits from Software accelerated run-time run demanding neural networks at lo
Slide 19: Our AI leadership
Our AI leadership Over a decade of cutting-edge AI R&D, speeding up commercialization and enabling scale Research face MWC demo Collaboration Brain Corp Qualcomm® Artificial Power efficiency gains Mobile AI Enablement detection with deep showcasing photo with Google on raises $114M Intelligence Rese
Slide 20: Leading research and development across the entire spectrum of AI
Leading research and development across the entire spectrum of AI Fundamental Applied research research Deep Neural Graph and Machine Deep G-CNN transfer network kernel learning learning for learning compression optimization training tools graphics Bayesian Deep Neural Compute Source Voice UI CV DL
Slide 21: Can we apply foundational mathematics of physics to deep learning?
Can we apply foundational mathematics of physics, like quantum field theory, to deep learning? 21
Slide 22: G-CNN
G-CNN Video 22
Slide 23: Advancing fundamental AI research, such as generalized CNNs
Today’s deep learning Tomorrow’s deep learning Traditional CNNs Gauge Equivariant CNNs Produce state-of-the art results but… No matter how you rotate or move the object, do not generalize input like rotations the generalized model will still identify the object Applying Translation foundational Rota
Slide 24: Pioneering deep learning research in generalized CNNs
Unifying framework Equivariance Gauge equivariant CNN unify special cases like No matter how you rotate or move the Group CNNs and Steerable CNNs, all pioneered object, it will still be identified by Qualcomm AI Research G-CNN can generalize models for different Robust performance, faster training,
Slide 25: Advancing AI research to increase power efficiency
Trained neural network model New Inference input data output Compression Quantization Compilation Learning to prune model while Learning to reduce bit-precision Learning to compile AI models for keeping desired accuracy while keeping desired accuracy efficient hardware execution Applying AI to optim
Slide 26: Advancing AI research to increase power efficiency: results
Trained neural network model New Inference input data output Compression Quantization Compilation Learning to prune model while Learning to reduce bit-precision Learning to compile AI models for keeping desired accuracy while keeping desired accuracy efficient hardware execution Applying AI to optim
Slide 27: 5th Gen Qualcomm Artificial Intelligence Engine
Qualcomm® Artificial Intelligence Engine The hardware and software components for efficient on-device machine learning Mobile Apps NN Frameworks Cognitive Toolkit Runtime Software Frameworks 5th Gen Qualcomm® Neural Processing TensorFlow Lite Google NN API SDK AI Engine Libraries Qualcomm® Math Libr
Slide 28: AI highlights
Adreno 650 Qualcomm Neural Processing SDK New AI mixed 2x higher TOPS New features precision instructions 16-bit and 32-bit FP AI and improvements highlights Hexagon 698 NNAPI support 4x higher TOPS Deep learning 3x number of Up to 35% bandwidth accelated operators power savings compression Optimize
Slide 29: Qualcomm Cloud AI 100
Qualcomm Cloud AI 100 ® • Built on 7nm • >350 TOPS Peak AI Performance • Sampling 2nd half of 2019
Slide 30: Qualcomm Neural Processing SDK
Qualcomm® Neural Processing SDK Software accelerated runtime for the execution of deep neural networks on device Efficient execution on Snapdragon • Takes advantage of Snapdragon heterogeneous computing capabilities Qualcomm ® Qualcomm ® Qualcomm ® • Runtime and libraries accelerate deep Kryo CPU ™
Slide 31: Frameworks, OS, Ecosystem
Frameworks OS Ecosystem Features Devices Noise Suppression Super Resolution Night Shot Face Recognition Speech Recognition Qualcomm Object AI Engine Detection Video Segmentation Cognitive Bokeh Toolkit 31
Slide 32: Uniquely positioned to power the intelligently connected future
X50 Qualcomm Ventures AI Fund Foundational 5G + AI Systems Advanced Ecosystem R&D technology design silicon investment leadership expertise Uniquely positioned to power the intelligently connected future
Slide 33: Intelligence is becoming more distributed, with on-device AI complementing the cloud
Intelligence is becoming more distributed, with power-efficient on- device AI complementing the cloud Mobile is democratizing AI and bringing it to new frontiers Qualcomm Technologies is well positioned to provide superior AI solutions and make AI ubiquitous 33
Slide 34: Questions?
www.qualcomm.com/ai www.qualcomm.com/news/onq BLOG @qualcomm_tech Questions? http://www.youtube.com/playlist?list=PL8A Connect with Us D95E4F585237C1&feature=plcp http://www.slideshare.net/qualcommwirelessevolution 34
Slide 35: Thank you!
Thank you! Follow us on: For more information, visit us at: www.qualcomm.com & www.qualcomm.com/blog Nothing in these materials is an offer to sell any of the References in this presentation to “Qualcomm” may mean Qualcomm components or devices referenced herein. Incorporated, Qualcomm Technologies,