CH 1: Introduction to AI Agents, Blockchain, and Quantum Computing Chapter Objectives

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24 Terms

1

Artificial Intelligence (AI)

The creation of machines capable of performing tasks that typically require human intelligence.

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This intelligence includes learning, reasoning, problem-solving, perception, and understanding language.

  • began with simple algorithms to mimic basic human problem-solving and decision-making processes.

  • primarily rule-based, programmed to respond to specific inputs with predetermined responses

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Collects large data volumes from diverse sources, such as smart sensors, human-generated content, monitoring tools, and system logs.

  • analyzes the data and uses it to assist business operations effectively.

  • making software smarter for customized user interactions and complex problem-solving.

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2

Machine Learning (ML)

A subfield of AI, defined as the capability of a machine to imitate intelligent human behavior. 

  • AI systems are used to perform complex tasks in a way that is similar to how humans solve problems.

  • “the field of study that gives computers the ability to learn without explicitly being programmed.”

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3

Deep Learning (DL)

Type of Machine Learning that uses artificial Neural Networks to learn from data.

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4

AI, ML, and DL relation

AI > ML > DL

<p><strong>AI &gt; ML &gt; DL</strong></p>
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5

Types of AI Technologies

  • Video generation 

  • Image generation 

  • Text generation 

  • Speech generation 

  • Multimodal AI

  • Speech to text

  • Translation

  • Virtual assistants: Siri and Alexa

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Predictive Analytics:

  • Medical: analyze medical records and imaging data to assist in diagnoses and treatment plans. 

  • Finance: fraud detection, risk assessment, and algorithmic trading. 

  • Autonomous vehicles: advanced decision-making algorithms are crucial in navigating complex traffic environments.

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6

Categories of AI

Narrow AI (Weak AI)

General AI (Strong AI)

Super AI

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7

Narrow AI

Weak AI

  • Designed for specific tasks

  • Limited scope

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8

General AI

Strong AI

  • A theoretical AI (remains a goal in AI research)

  • Capable of performing any intellectual task a human can do

  • Could include Artificial General Intelligence (AGI)

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9

Super AI

A hypothetical AI surpassing human intelligence in any field

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10

Internet of Things (IoT)

Network of devices: hardware, software, firmware, and actuators that allow the devices to connect, interact, and freely exchange data and information.

  • User or industrial devices that are connected to the internet

  • As the number of internet-connected devices continues to grow, increasingly important role in shaping our world.

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11

Blockchain

Offers a decentralized and secure ledger system. This distributed database maintains a continuously growing list of records, known as blocks, linked and secured using cryptography.

  • signifies a fundamental shift in storing, organizing, and conducting digital data transactions.

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Each block within a blockchain contains a cryptographic hash of the previous block, a timestamp, and transaction data, making the data within each block resistant to unauthorized modification.

  • This feature has profound implications for applications requiring transparent and trustworthy record-keeping.

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12

Blockchain Importantance

Ideal for delivering information because it provides immediate, shared, and observable information, stored on an immutable ledger that only permissioned network members can access. 

  • Blockchain networks can track orders, payments, accounts, production and much more.

  • See all details of a transaction end to end, giving you greater confidence, and new efficiencies and opportunities.

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13

Blockchain vs. Bitcoin

Bitcoin is a cryptocurrency, while blockchain is a distributed database. 

  • Bitcoin promotes anonymity, while blockchain is about transparency

  • Bitcoin is powered by blockchain technology, but blockchain has found many uses beyond Bitcoin.

Blockchain’s initial association with Bitcoin has often overshadowed its broader applications.

  • Gained recognition for its role in developing and overseeing cryptocurrency

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14

Blockchain: Smart contracts

Self-executing contracts, with the terms of the agreement between buyer and seller being directly written into lines of code.

  • automate and enforce contractual agreements with a level of efficiency and security previously unattainable

  • extending blockchain’s utility to any scenario that requires contractual agreements (real estate transactions to legal process)

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15

Neural Network

Uses interconnected nodes or neurons in a layered structure that resembles the human brain.

  • Creates an adaptive system that computers use to learn from their mistakes and improve continuously

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Allows AI systems to learn from vast amounts of data.

  • can make decisions and predictions based on patterns and experiences rather than just preprogrammed rules.

  • attempt to solve complicated problems, summarizing documents, natural language processing, speech recognition, faces, and image recognition with greater accuracy

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Before ____, often used rule-based systems which required domain expertise and couldn’t easily adapt to changing conditions.

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16

Quantum Computing

A new approach to processing information that harnesses the principles of quantum mechanics.

  • Able to process massively complicated problems at orders of magnitude faster than modern machines

  • Processing vast amounts of data simultaneously through quantum bits (qubits) opens up new frontiers in computation and problem-solving.

being used, but they are not yet practical for real-world use.

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17

Principles of quantum mechanics useful for Quantum Computing

Superposition

Entanglement

Decoherence

Interference

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18

Superposition

state in which a quantum particle or system can represent not just one possibility, but a combination of multiple possibilities.

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19

Entanglement

process in which multiple quantum particles become correlated more strongly than regular probability allows.

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20

Decoherence

process in which quantum particles and systems can decay, collapse, or change, converting into single states measurable by classical physics.

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21

Interference

the phenomenon in which entangled quantum states can interact and produce more and less likely probabilities.

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22

Quantum Bits (Qbits)

Possess the unique ability to exist simultaneously in multiple states due to superposition and entanglement, enabling quantum computers to process many possibilities simultaneously.

  • Classical computers rely on binary bits (1 & 0) to store and process data

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Can behave like a bit and store either a 1 & 0

  • weighted combination of 1 & 0 at the same time

  • in superposition can scale exponentially. 2 ___ can compute with 4 pieces of information

  • 3 = 8, 4 = 16

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Each qubit can only output a single bit of information at the end of the computation

  • Quantum algorithms work by storing and manipulating information in a way inaccessible to classical computers

  • Provide speedups for certain problems

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23

Why might we fear AI?

Job Displacement – Is this the same fear that the industrial revolution had?

Bias and Discrimination – could be amplified if trained wrong

Privacy and Surveillance – police state?

Autonomous Weapons – deadly

Loss of Human Control – unpredictable?

Economic Inequality – will this grow?

Dependence on AI – or overdependence on AI?

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24

Why might we have Optimism towards AI?

Passive Income

Increased Efficiency

Medical Advancements

Improved Quality of Life

Tackling Global Challenges

Empowering Creativity

Economic Growth

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