revolutionizing the user experience through secure neural network acceleration at the...
TRANSCRIPT
REVOLUTIONIZING THE USER EXPERIENCE THROUGH SECURE
NEURAL NETWORK ACCELERATION AT THE EDGE
Huibert Verhoeven – SVP & GM IoT Division
© 2019 Synaptics Incorporated 2
NEURALNETWORKS
1986 - Synaptics was founded to commercialize analog neural network
chips for ultra-low power pattern matching
Action potential
Pre-synaptic(“sending”) cell
SYNAPSE
Post-synaptic(“receiving”) cell
© 2019 Synaptics Incorporated 3
Advanced Underlying Technologies
Far-field Voice and
Speech Capture
Acoustics and Audio
Output Processing
Video and Image
Processing
Optical Imaging
Display Driver and
Integrated Sensing
Capacitive Sensing Machine Learning
© 2019 Synaptics Incorporated 4
What is Synaptics’ HMI Vision?
Human machine interface so ubiquitous, intuitive and natural
that we lose conscious awareness of our interactions
© 2019 Synaptics Incorporated 5
Global Adoption of Voice UI – What are the Pain Points?
3%
6%
8%
10
%
64
%
2018 GLOBAL SMART SPEAKER INSTALLED BASE
US
Source: Canalys estimates and forecasts, Smart Speaker Analysis, May 2018
CONSUMER CONCERNS WITH VOICE UI
CHINA UK GERMANY SOUTH KOREA
41% 40% 46%
Privacy Security Data Control
Source: Accenture global survey, Reshape to Relevance, January 2019
CONSUMER EXPECTATIONS IN USABILITY
Home Security
Home Automation
Paying Bills
Virtual Medical Advice
61%
59%
55%
52%
© 2019 Synaptics Incorporated 6
Secure Inferencing at the Edge Addresses Consumer Concerns
• User identifiable data stays
on device while only
abstracted data sent to the
cloud
• Multimodal interface where
audio and video streams are
not sent to the cloud
• Functions handled locally –
Home control and security
functions performed with
lower latency
• Contextual awareness
anticipates user intent
• Functions handled locally –
available even in case of an
outage
• Out of the box voice UI
experience for appliances
etc.
PRIVACY LATENCY ROBUSTNESS
© 2019 Synaptics Incorporated 7
Evolution of the Voice Interface
Voice primarily for calling• Home phones
• Mobile devices
• PCs
Voice enhanced for far-field• Focus on speech recognition
• Enabled with cloud intelligence
Superior voice experience
through local intelligence• Personalized
• Better privacy
• Increased accuracy
• Multimodal
Voice 1.0 Voice 2.0 Voice 3.0
© 2019 Synaptics Incorporated 8
SoC
CPUAI
Typical Voice 2.0 Architecture
SoC
CPUDSP
Remote Attack
AI
Non-secure Mic-to-cloud
© 2019 Synaptics Incorporated 9
Remote Attack
How Do We Implement Voice 3.0?
SoC
Neural Network
Engine
CPU
Secure Processor
TEE
Secure Processor
Secure Mic-to-cloud
AI
© 2019 Synaptics Incorporated 10
Voice 3.0 – Smart Edge Case Study
Morning That would be
great, thanks!
Hi, Steve. Would you like
your usual morning latte?
© 2019 Synaptics Incorporated 11
Voice 3.0 – Smart Edge Case Study
Afternoon Yes, that’s exactly
what I need right now
You look tired, Steve. Should
I make your afternoon
double espresso?
© 2019 Synaptics Incorporated 12
Smart Home Multi Modal Applications
© 2019 Synaptics Incorporated 13
Synaptics has Differentiated Technologies for next-gen HMI
• Far-field Voice & Smart
Trigger Technology
• Analog / Mixed Signal
Solutions
• Flexible & Purpose-built
Audio Processors
• High-Performance,
Multi-Standard, Multi-
Stream Video Codecs
• Leading Edge PQ
Enhancement Engine
• Memory Bandwidth
Efficient Video and
Display Engines
Voice / Audio Video / Display AI Security / Privacy
• Secure Multimedia Paths
through the SoC
• Carrier-Grade Security
• Designed to Withstand
Side-Channel Attacks
• Security Frameworks
Apply to Android TV,
Android Open Source,
& Linux
• Video/Audio/Voice
Analytics
• Adaptive UX through
Contextual Awareness
• Local ASR & NLP
Accelerators
© 2019 Synaptics Incorporated 14
SyNAP™ Hardware Capabilities
<1 TOPS (GPU) 1 TOPS (Dedicated NPU) >4 TOPS (Dedicated NPU)
STBsSpeakers, Soundbars, Wi-Fi Mesh,
AppliancesSTBs, Smart Displays
Video Analytics AIVoice and Sensor
Real-Time AI
Voice, Video, Imaging
Real-Time AI
CPU GPU CPU NPU CPU NPU GPU
© 2019 Synaptics Incorporated 15
Why We Selected SOI
Our HMI vision requires low power, significant
computation, and dedicated neural network
hardware
© 2019 Synaptics Incorporated 16
22nm SOI is a Goldilocks IoT Process Node
0
0,5
1
1,5
2
2,5
3
3,5
28nm 22nm SOI 12/14nm
Active Power Unit Cost Investment
© 2019 Synaptics Incorporated
Synaptics, the Synaptics logo, TouchPad, ClickPad, SecurePad, ClearPad, ClearView, Synaptics TouchView, Natural ID, ClearForce,
SentryPoint, AudioSmart, VideoSmart, ImagingSmart, SyNAP, Design Studio, Image Studio and SafeSense are trademarks or
registered trademarks of Synaptics Incorporated or its affiliates in the United States and/or other countries. All other brands and
names may be trademarks of their respective owners.