ML/AI based Applications-driving demand
Manish Sharma
Director, R&D Strategy
Samsung R&D Institute, India
Introduction
• Example AI-based applications• Voice Intelligence (AI speakers and Voice assistants)
• Vision Intelligence
• Streamed services in Broadcast Networks
• Conclusions• Role of Data and the Network
• Interoperability and Standards
Voice Intelligence
3
Current screen
USER’s SAY
Get relevant response based on Context
Voice Intelligence Goal
4
Understand conversational speech, dialogue naturally, answer questions correctly, and providemulti-lingual interpretation/translation like a human
Communicate with user through multi-modal interfaces and understand dynamic environment
Always Helpful & Always Learning
Voice Intelligence
Voice Recognition
Speaker Recognition
Voice Synthesis
Language Generation
NLUDialog
Management
Action Planning
Q&A
Summary
Auto Translation
Language Detection
Inherent FunctionExtended Function
6M LanguagesAmbient
Knowledgeable Empathetic
Multi-lingualRespond to Various User
Environments: Multi-device,
Multi-user, Multi-modal…
Respond Smartly to Any Question
through Continuous Learning
Improve User Satisfaction through
Personalized Emotional Response
Provide Multiple
Languages Support
Vision Intelligence
5
Translate as-you-go
Foreign language is no barrier Translate as you looki through the
camera
Discover Near By Places
Guide by your side….always Find nearby places of interests Identify landmarks or businesses and learn
more about them
Point & Shop Camera
Shop on sight Shop anytime and anywhere. Not knowing the name….No Problem Point the camera and get product info Multiple purchase options with price Recognise products and connect with
respective CPs to get relevant information
Vision Intelligence Goal
6
Always Helpful & Always Learning
Vision Intelligence
Landmark Recognition
Sensor Fusion Object Detection
Object Tracking
AR Rendering
Face Landmarks& Tracking
Face Detection
UserRecommendation Auto Translation
Inherent Function
Extended Function
Visual Understanding
User Personalization Augmented Rendering
Spatial Understanding
Detect & recognize objects
User Preference Mining Rendering of virtual objects and
augment information
Sensor calibration &
Camera tracking
User Personalize
Detect, recognize and track objects in real-time
Get distance of objects in a scene, estimate size and dimension of objects, sense depth
Understand user preferences and personalize user’s visual experience
Samsung TV Plus(OTT Service) TV Plus is a new video service that provides a rich experience for Samsung Video
partners. The experience isn’t rooted in applications, but in native channels. Partners can provide a lean-back or interactive user experience
7
TV Shows / Movies
Promotional
On Now
Up Coming
New Release
Editorial TV Genre
Sports
Promotional
On Now
Up Coming
Cricket
FIFA 2018
Promotional
On Now
Up Coming
Just Ended
Related
Apps
Oscars 2018
Movies
News
TV Shows
For You
On Now
Up Coming
Continue Watching
Trending TV Shows
My Recordings
Newly Released
Editorial
Promotional
Manual Curated
User Personalized
All Content
Samsung AI Platform
8
SDK
Context Analytics Engine - App usage , User activity logging- Device status , Sensor info - Time, Place base Recommendation- User behavior
Personalization
Deep Integration
- Interfacing 3rd party data & services- Deep integration with BixbyHome- Template based design- API for integration – Client & Server side
Bixby “Brain”
Samsung Apps/Services
Utility
OTT & Internet Partner Content
….
RealtimeAd Engine
ML in Video Broadcast Networks
• Recommendation systems for OTT viewing
• Demand driven Video Broadcast
• Dynamic Content caching at edge
• 8K video streaming through next generation 5G network-Network Resource Allocation
5G-XcastHybrid broadcast service; combinations of networks and technologies give a seamless experience
as the user moves between different locations
Media/Entertainment
Multimedia public warning alert
Samsung part of the EU standardization of 5GXcast
5G testbed for Video Streaming @Samsung Lab, IIT Delhi
• 5G Testbed under development• Based on Software Defined
Radio with High Speed Xilinx FPGA.
• Focus on next generation Content streaming and delivery applications over wireless networks
Conclusions
• Changing nature of data moving through the network• Dynamic/Active data+ML inferencing in real-time• Not just streamed video but analysed/annotated video
• Changing nature of the network• Dynamic and adaptive to real-time demand changes• Not just single topology but data-aware and application-aware network
• Role of interoperability• Disaster-recovery• Real-time reliability constraints• Customers asking for multi-platform networks