TRIVIAL QUIZ - Intermediate Modules EduBreakouts

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ARIN EDUBREAKOUTSINTERMEDIATE LEVEL

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Key concepts (process)

Network Training

Data set

Node

“The process of development of the right choices or pattern recognition on a dataset” is the definition of:

Key concepts (process)

Right answer!

During network training, the neural network learns from input data and adjusts its internal parameters to improve its performance on a specific task, such as image classification or language translation.

Key concepts (process)

Recurrent NN

Modular NN

Hidden NN

Which of these is NOT a type of neural network?

Key concepts (process)

Right answer!

"Hidden" is not a distinct category of neural network. It is a term commonly used to refer to the hidden layers within a neural network architecture responsible for processing and transforming input data before producing the final output.

Key concepts (process)

Input layer - Hidden layer(s) - Output layer

Input layer - Output layer

Hidden layer - Output layer

What is the architecture of a basic neural network?

Key concepts (process)

Right answer!

A basic neural network architecture consists of an input layer that receives the input data, one or more hidden layers that perform computations and extract features from the input, and an output layer that produces the final output or prediction.

AI-Human Interaction

Operating environments including set of tools and services designed to make coding and deploying the applications

Aata (either from databases or object containers)

Provides a platform allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure

There are several Cloud services delivery models. What delivers Platform-as-a-Service (PaaS) model?

AI-Human Interaction

Right answer!

By offering a comprehensive platform, PaaS enables developers to leverage preconfigured environments, development tools, and deployment services, streamlining the application development process and reducing the complexity typically associated with managing infrastructure.

AI-Human Interaction

Private cloud, Community cloud, Public cloud, Hybrid cloud

Corporation cloud, Private cloud

Engineering cloud, Financial cloud, Data processing cloud

What Cloud computing deployment models are identified?

AI-Human Interaction

Right answer!

These four models represent the most commonly acknowledged and utilized Cloud computing deployment approaches, covering a range of organizational needs and requirements.

AI-Human Interaction

Natural Language Processing, Computer Vision, Feature Engineering, Reinforcement Learning

Reinforcement Learning, Mind oriented Learning, Image processing Learning

Car driving applications, Data search applications, Education service applications

AWS Lambda cloud services, representing Function as a Service (FaaS) model, provide applications for:

AI-Human Interaction

Right answer!

While AWS Lambda can be used for a wide range of applications, it is particularly well-suited for tasks that involve Natural Language Processing, Computer Vision, Feature Engineering, and Reinforcement Learning.

Advantages and AI applications

Human intervention and control

Dependence on manual input

Operation without human intervention

What is the key characteristic of autonomous behavior systems?

Advantages and AI applications

Right answer!

Unlike systems that require human intervention and control or dependence on manual input, autonomous behaviour systems are designed to perform tasks and make decisions on their own, without the need for constant human involvement.

Advantages and AI applications

Monitoring social media activity

Enhancing language learning capabilities

Automating the translation of text from one language to another

How can AI be used in translation?

Advantages and AI applications

Right answer!

AI can be used to automate the translation of text from one language to another, making the process faster, more accurate, and more accessible. AI-powered translation systems utilize advanced algorithms and machine learning techniques to analyze and understand the structure and meaning of text in different languages.

Advantages and AI applications

Enhancing cybersecurity measures

Assisting in language translation

Enabling autonomous driving

How is AI utilized in the automotive industry?

Advantages and AI applications

Right answer!

AI's utilization in the automotive industry primarily revolves around enabling autonomous driving. By leveraging AI technologies, vehicles can perceive and interpret their surroundings, make informed decisions, and navigate autonomously, leading to safer, more efficient transportation.

Risks & Threats

The use of manipulated or biased information to intentionally deceive or mislead a system or its users.

An incident where information is stolen or taken from a system without the knowledge or authorization of the system’s owner.

A file that is downloaded on your computer (or mobile device) in order to store data.

What is a system false operation?

Risks & Threats

Right answer!

A system false operation refers to the intentional act of providing incorrect or misleading information to a system, often with the purpose of manipulating its behaviour or deceiving its users.

Risks & Threats

Look carefully at the following 3 pictures of famous people. What is/are the deepfake(s)?

Picture 1 and 3 are deepfakes.

Picture 1 and 2 are deepfakes.

Only picture 2 is a deepfake.

Risks & Threats

Right answer!

Pope Francis's picture was created with MidJouney AI. Tom Cruise's deepfake was created by a Belgue artist

Risks & Threats

Paying attention to the name of the deepfake or to the person it represents, because deepfakes don’t represent real people.

Paying more attention to the video instead of the audio, because deepfakes tend to be more focused on the sound than in the visual content.

Paying attention to the face, looking for unnatural movements, checking the light and shadows, and hearing carefully.

Which actions can help you detect deepfakes?

Risks & Threats

Right answer!

Detecting deepfakes involves scrutinizing the visual and auditory elements of the content. When examining a video, it is essential to observe the face for any irregularities or unnatural movements that may indicate manipulation. It is also important to check different sources to verify the veracity of the content.

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