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Sources: http://securityaffairs.co/wordpress/13747/cyber-crime/http-botnets-the-dark-side-of-an-standard-protocol.html http://theanalyticsstore.com/deep-learning/ https://www.cs.utexas.edu/~eladlieb/RLRG.html www.fico.com/infographics © 2014 Fair Isaac Corporation. All rights reserved. Artificial Intelligence: Four Ways Analytics Think Like You The rise of robotics has mirrored a boom in artificial intelligence (AI)—analytic software that mimics what we know about how humans think. Analytic algorithms power increasingly intelligent machines that perform advanced human tasks. It’s not science fiction —AI analytics are already used in many business applications. Here are four examples of analytics that imitate the way you think, and how they are used. Data (Transactions) Output Layer (Score Calculations) Calculation Time = 40–60 Milliseconds Input Layer (Features) Rapid High-Risk Expensive Transactions Fraud Score Number of Transactions in Last Hour Large Dollar Amounts Merchant Category Code Hidden Layer (Identifies Relationships) 010 001 101 Neuron (processing element) “Weight” Neural Networks INSPIRED BY: Neurons in the brain that store knowledge in their connections to other neurons and the strength of those synapses. EXAMPLE BUSINESS USE: Detecting payment fraud. HOW IT WORKS: Makes connections between incoming data and specific outcomes, changing the “weight” of connections to learn the relationships be- tween inputs and improve performance. Deep Networks INSPIRED BY: How neurons in the brain use multiple stages of processing in the visual cortex to learn to recognize faces and classify objects. EXAMPLE BUSINESS USE: Automatic video analysis and speech transcription. HOW IT WORKS: Combines bits of data into features, assembles features into more complex parts through multiple processing layers. Diagonal Line Node Face Node Cat Node Neuro- Dynamic Programming INSPIRED BY: Reward system of the brain, which enables us to learn complex task sequences through pleasurable or painful reward signals, which occur later in time. EXAMPLE BUSINESS USE: Automated agents used in travel booking. HOW IT WORKS: Calculates impact of next step and all future possible steps to continually evaluate best next step to reach desired outcome. Internal State Learning Rate α Inverse Temperature β Discount Factor γ New State Reward Environment Action Cyber-Analytics INSPIRED BY: How the brain controls the body and its actions through synapses. EXAMPLE BUSINESS USE: Identifying when malware has taken over computer. HOW IT WORKS: Identifies the command and control relationship between two entities, such as a “bot” on an infected computer and the “bot master” that controls the bot. Botmaster HTTP C&C Server Bot

Artificial Intelligence Four Ways Analytics Think Like You

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The rise of robotics has mirrored a boom in artificial intelligence (AI)—analytic software that mimics what we know about how humans think. Analytic algorithms power increasingly intelligent machines that perform advanced human tasks.

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Page 1: Artificial Intelligence Four Ways Analytics Think Like You

Sources:http://securityaffairs.co/wordpress/13747/cyber-crime/http-botnets-the-dark-side-of-an-standard-protocol.htmlhttp://theanalyticsstore.com/deep-learning/https://www.cs.utexas.edu/~eladlieb/RLRG.html

www.fico.com/infographics © 2014 Fair Isaac Corporation. All rights reserved.

Artificial Intelligence:

Four Ways Analytics Think Like YouThe rise of robotics has mirrored a boom in artificialintelligence (AI)—analytic software that mimics what we know about how humans think. Analytic algorithms power increasingly intelligent machines that perform advanced human tasks. It’s not science fiction—AI analytics are already used in many business applications. Here are four examples of analytics that imitate the way you think, and how they are used.

Data(Transactions)

Output Layer(Score Calculations)

Calculation Time = 40–60 Milliseconds

Input Layer(Features)

Rapid High-Risk Expensive

Transactions

Fraud Score

Number of Transactions in Last Hour

Large Dollar Amounts

Merchant Category

Code

Hidden Layer(Identifies Relationships)

010010111010101100010101010101010101010101

0101

Neuron (processing element)

“Weight”

NeuralNetworksINSPIRED BY:

Neurons in the brain that store knowledge in their connections to otherneurons and the strength of those synapses.

EXAMPLE BUSINESS USE:

Detecting payment fraud.

HOW IT WORKS: Makes connections between incoming data and specific outcomes, changing the “weight” of connections to learn the relationships be-tween inputs and improve performance.

Deep NetworksINSPIRED BY: How neurons in the brain use multiple stages of processing in the visual cortex to learn to recognize faces and classify objects.

EXAMPLE BUSINESS USE: Automatic video analysis and speech transcription.

HOW IT WORKS: Combines bits of data into features, assembles features into more complex parts through multiple processing layers.

DiagonalLine Node

Face Node

Cat Node

Neuro-DynamicProgrammingINSPIRED BY: Reward system of the brain, which enables us to learn complex task sequences through pleasurable or painful reward signals, which occur later in time.

EXAMPLE BUSINESS USE:

Automated agents used in travel booking.

HOW IT WORKS: Calculatesimpact of next step and all future possible steps to continually evaluate best next step to reach desired outcome.

Internal State

Learning Rate α Inverse Temperature βDiscount Factor γ

New State Reward

Environment

Action

Cyber-AnalyticsINSPIRED BY: How the brain controls the body and its actions through synapses.

EXAMPLE BUSINESS USE: Identifying when malware has taken over computer.

HOW IT WORKS: Identifies the command and control relationship between two entities, such as a “bot” on an infected computer and the “bot master” that controls the bot.

Botmaster

HTTPC&C

Server

Bot