the study of intelligence is one of the oldest disciplines being approximately ____ years old.

AI is one of the newest disciplines, formally initiated in ____ when the name was coined.

intelligence defines "________"

Artificial defines "_______"

AI means "____________"

________ is the simulation of human intelligence processes by machines, especially computer systems

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

Artificial Intelligence is composed of two words _____ and _______

Specific applications of AI include expert systems, robotic language processing, speech recognition and machine vision.

He was one of the first to attempt to codify "thinking". His syllogisms provided patterns of argument structure that always gave correct conclusions, giving correct premises.

To be considered intelligent a program must be able to act sufficiently like a human to fool an interrogator.

The first proposal for success in building a program and acts humanly was the _____ Test

Acting humanly requires "______" of the human mind to see how it works and then comparing our computer programs to this. This is what cognitive science attempts to do.

This contributes to AI through decision-making models. Its theories explain how agents can choose the best action when resources are limited.

This foundation of AI helps AI by revealing how the human brain processes information, learns and forms connections.

This foundation of AI studied logic, reasoning, knowledge, ethics, and mind, which inspired early AI systems that tried to mimic human reasoning, like rule-based systems and knowledge representation.

This foundation of AI focuses on human thinking and behavior which can provide models for intelligence and learning

This foundation of AI provides the hardware and system design that make AI computation possible.

This foundation of AI provides the formal tools used to design and analyze AI systems when it comes to logic, probability, linear algebra, calculus and etc.

This foundation of AI study how systems regulate themselves and respond to changes.

Cognitive and behavioral psychology has a great conribution also in AI. This foundation of AI helps AI systems to interact more naturally with humans (HCI)

Economics has a contribution. What are the contributions of this foundation?

Neuroscience has its contribution to AI. What are the contributions of this foundation to AI?

This foundation of AI which is Control Theory and Cybernetics was used in?

This foundation of AI provides insights into how language is structured and how meaning is formed, which is essential for NLP.

This foundation of AI, which is Linguistic, can be used in?

This foundation of AI is Mathematics, which provides the formal tools used to design and analyze AI systems?

supports logic, algorithms and graph theory.

machine learning, predictions, uncertainty

training AI models, minimizing errors

neural networks and deep learning

basis of reasoning systems and algorithms

What are the Foundations of AI?

Aristotle was one of the first to attempt to codify "______". His syllogisms provided patterns of argument structure that always gave correct conclusions, giving correct premises.

ACTING RATIONALLY / THE RATIONAL AGENT APPROACH

Acting rationally means acting so as to achieve one's goals, given one's beliefs. An agent is just something that perceives and acts.

The study of AI as rational agent design has two advantages:

When did McCulloch & Pitts create the "Neuron Model," the first step toward neural networks?

When was the "Dartmouth Conference" held, where the term "Artificial Intelligence" was coined?

When was the "Perceptron Invented" by Frank Rosenblatt?

In which year was the "Turing Test Proposed" by Alan Turing?

When was "Backpropagation Rediscovered," making deep learning practical?

In which year were "ELIZA & Shakey the Robots" developed?

In which year did IBM’s "Deep Blue Defeat Kasparov"?

When did "AlexNet Beat XRCE" in image recognition?

In which year did "IBM’s Watson Win Jeopardy"?

When did Stanford’s robot car win the "DARPA Grand Challenge"?

In which year did DeepMind’s "DQN Learn Breakout’s Tunnels"?

In which year did "AlphaGo Beat Lee Sedol"?

When were "Generative Adversarial Networks (GANs)" introduced by Ian Goodfellow?

When was the "Transformer Introduced" (via the "Attention Is All You Need" paper)?

In which year did "AlphaFold Predict Protein Structures"?

When did "DeepSeek Launch V3 and R1"?

When was "ChatGPT Launched"?

When was "GPT-3 Released" by OpenAI?

In which year were "PaLM & Scaling Laws" launched by Google Research?

In which year was "LLaMA Released" by Meta?

When did John Hopfield & Geoffrey Hinton win the "Nobel Prize for AI Research"?

What are needs for Artificial Intelligence

No typo, you read that right! Not simply us, organizations additionally feel the dread of passing up a major opportunity. To stay competitive and not get tossed out of the market, they need to adjustappropriately. This is done by putting resources into advances that would upset their enterprises.

As with all other technologies, with time, AI is becoming more and more affordable. This has made it feasible for a lot of organizations that couldn’t bear the cost of them in the past to use these advances. Organizations do not have that barrier of cost to implement AI.

One thing that we all need to comprehend is that future in AI is very safe. Organizations can and ought to guarantee themselves to be future confirmation by actualizing AI advancements. On the off chance that this is where the world is going, why not to head in that equivalent course and be versatile to that change.

The establishment speed, availability, and sheer scale have enabled bolder computations to deal with progressively exciting issues. Not solely is the gear faster, expanded by specific assortments of processors (e.g., GPUs), it is moreover available looking like cloud organizations.

The organizations which mean to have a serious edge over their adversaries are banking upon AI advancements to acquire this. Take the case of the Autopilot highlight offered by Tesla in its vehicles. Tesla is utilizing Deep Learning Algorithms to accomplish Autonomous driving.

What are the types of AI?

Which AI uses past data (most current AI)?

Which AI is brilliant at one thing but useless at everything else (everything today)?

Which AI produces simple input → output with no memory?

Which AI is conscious (pure speculation)?

Which AI is human-level across all domains (theoretical)?

Which AI understands emotions (early research)?

Which AI is beyond human intelligence (highly theoretical)?

In Current Reality and Future Implications. What we have right now?

In Current Reality and Future Implications. What remains theoretical?

1. 1. AI Capabilities: The Power Scale. Capabilities = How general or specialized the AI is.

2. 2. AI Functionalities: How It Actually Works. Functionalities = The mechanisms under the hood.