Transer Learning : Super Intelligence

GIS Group

Dr Narayan Panigrahi , MA Rajesh,

Shibumon Alampatta , Rakesh K P

of Centre for AI and Robotics, Defence Research and

Development Organization, C V Raman Nagar, Beangaluru

Artificial Intelligence (1)

Algorithms Enabled for

Constraints Exposed By

Representation that Supports

Models Targeted At

Thinking, Perception, Action

Artificial Intelligence (2)

The Branch of Computing Science attempting to built

machines and systems capable of intelligent behaviour

Artificial Intelligence (3)

It is a discipline to impart ability into a machine to learn rather than programmed explicitly.

(All possible data, events, behaviour, action)

Machine Learning (ML) ML<AI

Genesis and History of AI

• Turing Test (1950)

• Summer School in Dartmouth College, Hannover, US (1956) by John McArthy the genesis of the name AI

• 1960-1970 Winter of AI, All academic papers but no commercial exploitation/ no application/no system

• Small AI spring 1990-2000

Domain Specific Applications of AI

• Intelligent Search Engines

• On Line Portals

• Suggestions for Turbine Maintenance

• Medical data diagnostic (Cancer Detection)

• Credit Rating of Enterprises

• Customer Profiling for retail malls

• Face recognition

• Anomaly Detection

Un-Supervised Learning

Supervised Learning

Deep Learning

Convoluted Neural Network

Artificial Neural Network

Transfer Learning

Super Artificial Intelligence

Artificial Intelligence

Machine Learning

Contributing Fields of AI

Human Learning System

Human Intelligence System

3D-Model of a Neuron

ANN(Modelling Human Learning)

Domain Specific NN (Convoluted NN)

Deep Learning through ANN

Machine Learning through NN

• Domain Specific Learning of the ANN

• Through Supervised Learning Technique

• Multi Layer Perception Network With Feed Back

• Tunnelling for Efficient and high speed Convergence

• Re-enforcement Learning from marginal attributes

Transfer Learning

• Transferring the Learning that has already Learnt through deep learning.

• Input is about time series events (Time-series data) Through on line sensors.

• Earth quake data, Seismic data, Patient vital records, Weather data, Stock market data, Social network data....

Convoluted ANN

Machine Learning

• ML>NN>Convolution NN>Deep Learning>Transfer Learning

• ML (Supervised Learning With Feed back)

• ML(Unsupervised Learning (Without feedback... Search for things we have no clue about) No Domain Specific, unstructured data, NLP

Applications

• Anomaly Detection (Gesture Learning) for Disaster Prediction, Identification and mitigation

• Speech Synthesis/ Speaker Identification / Speaker Recognition

• Motion Picture Based Lost Human / Child Tracking.

• Assert Monitoring

• Smart Parking, Resource Utilization, Smart City

Cyber Defence Monitoring

• IP Network with Cellular Phone Network and IoT, has created an unprecedented NW-of-NW

• It Has increased the profile and attack surface of the network

• First detection of anomalous behaviour of such network is beyond action of few professionals.

• Cyber Traffic Profiling, Clustering, Anomaly Detection, Fishing detection, Counter attack Planning

• AI based cyber traffic profiling and monitoring is only solution.

AI For Cyber Security

https://www.cbinsights.com/blog/cybersecurity-artificial-intelligence/

• MIT builds AI based system that can detect 85% of Cyber Attacks

• AI2 : Training a big data machine to defend

Veeramachaneni, Kalyan, et al. "AI^ 2: Training a Big Data Machine to Defend." Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS), 2016 IEEE 2nd International Conference on. IEEE, 2016.

Robotic Applications

• Autonomous Navigation System / Mobile Robotics Platform(Land, Air and Water)

• Simultaneous Localization and Mapping (SLAM), Vision, LiDAR and RGB-Depth based

• Real Time Object Recognition and Tracking

• Human Activity Analysis

• Autonomous Unmanned Systems are used in different warzones to enhance the operational capabilities of the military.

• UAV for Surveillance and Reconnaissance purpose

• AI technologies that is used to synthesize 3D world model of the environment, demonstrate perception informed autonomous navigation, automatic object classification and detection, Multiple level of situation awareness

PGM mounted on a Tracked Platform

Humanoid Engaging a Target

IA Applications Recognized as AI Applications

• Game Playing

• General Problem Solving

• Expert System

• Natural Language Processing

• Computer Vision

• Robotics (AI on Wheel)

Disruptive Innovation using AI AI is coming

Technology is making it happen

possible doable useful viable

And is very powerful Your digital transformation through AI is inevitable Intelligent amplification of machine better than

human, Automation of Intelligence are on the way

Road to Super Intelligence

Artificial Narrow Intelligence (ANI) (Dr Watson)

Artificial General Intelligence (AGI)

Artificial Super Intelligence (ASI)

Advertisement

• Job Code: 011/2027/Jan 15/220

• Job Profile: To Search 10 TB of data and detect anomalous behaviour and report to authorities within 20 minutes

• Who can Apply: Human with domain specific knowledge / Machines capable of TB data search and anomaly detection

• Only machine with having capability of scanning 20TB data and predict anomaly or event likely to happen 20 minutes in advance can apply

Thank You

Applications of AI more of IA

This isolated road

network is an ‘object’, one

of whose behaviors is that

it must be connected...

…to the main road network.

So the operator will be

prompted during production,

densification or validation

A behavior of a major road is

that when it intersects a river,

there must be a bridge.

Therefore the operator will be

prompted during production,

densification or validation.

This lake object

has behavior

that makes it

display as a

complex

polygon.

Spatio-temporal Object Detection and Classification