Unit 5: AI Applications in Mobility

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Questions and Answers

What is the primary focus of Unit 5 according to the provided text?

  • The theoretical underpinnings of artificial intelligence.
  • The ethical considerations of artificial intelligence.
  • The historical development of artificial intelligence.
  • The practical applications of artificial intelligence. (correct)

Which sector is NOT explicitly mentioned as a focus for AI applications in this unit?

  • Finance
  • Retail
  • Mobility
  • Education (correct)

In the context of mobility, what is being referred to in the unit?

  • The movement of people and goods from one place to another. (correct)
  • The methods people use to exercise and maintain physical mobility.
  • The use of public transportation in cities.
  • The study of human migration patterns.

How is artificial intelligence expected to influence the finance sector?

<p>By supporting current processes and fostering new business models (D)</p> Signup and view all the answers

What specific aspects of retail are mentioned as being impacted by artificial intelligence in the text?

<p>Automating workflows, optimizing supply chains, and tailoring services (A)</p> Signup and view all the answers

Which trend is NOT a focus of artificial intelligence in future mobility?

<p>The reduction in price for traditional combustion engine maintenance. (C)</p> Signup and view all the answers

What is a key aspect of the transition between personal and public transportation in new mobility solutions?

<p>A seamless and integrated user experience (A)</p> Signup and view all the answers

What is a major aspect of 'smart mobility'?

<p>A networked mobility using data and AI to connect transport modes. (A)</p> Signup and view all the answers

According to the content, what is one way that new car features represent new selling opportunities?

<p>By using advertising and offering entertainment content. (C)</p> Signup and view all the answers

According to the content, what is a primary driving force behind the rapid changes in mobility?

<p>Economic and social factors combined with AI and engineering advancements. (C)</p> Signup and view all the answers

What is a potential challenge of a complex new mobility ecosystem?

<p>It might become too demanding for drivers and passengers. (B)</p> Signup and view all the answers

What is the argument for a 'gradual' approach to the revolution in mobility?

<p>The industry preference for keeping existing assets until they are fully depreciated. (C)</p> Signup and view all the answers

What is a characteristic of the currently implemented self-driving technology in automobiles?

<p>It is restricted to well-defined settings despite being trialed and tested. (D)</p> Signup and view all the answers

What is a newly included component of mobility systems, alongside traditional infrastructure?

<p>Data. (D)</p> Signup and view all the answers

How can communication signals between vehicles and their surroundings be utilized?

<p>To provide a rich setting for machine learning. (C)</p> Signup and view all the answers

What does 'smart mobility' aim to make transportation in the future?

<p>More personalized, interconnected, and sustainable. (A)</p> Signup and view all the answers

Which key aspect of self-driving technology is a recent development, building on previously available mechanical capabilities?

<p>The ability of Artificial Intelligence to connect different variables for decision making. (A)</p> Signup and view all the answers

Which statement best reflects the content's view regarding the future of mobility?

<p>The future of mobility is expected to evolve to be more affordable, faster, safer, and more efficient. (C)</p> Signup and view all the answers

What contrasting views are present regarding the pace of the revolution in mobility?

<p>One view that change will be gradual, versus an opposing view that change will be disruptive. (C)</p> Signup and view all the answers

What is the industry approach regarding self-driving vehicles before being allowed on public roads?

<p>To train autonomous vehicles to drive prior to permissions being granted. (A)</p> Signup and view all the answers

Besides personal ownership, what other model do new mobility solutions include?

<p>Non-owner pods in urban areas. (C)</p> Signup and view all the answers

What is the primary goal of integrating multiple modes of mobility?

<p>To create a seamless, dependable, sustainable and efficient travel experience. (B)</p> Signup and view all the answers

How might the rise of autonomous driving technology affect the automotive industry?

<p>By reducing the number of vehicles needed to satisfy consumer demand through a shared approach. (D)</p> Signup and view all the answers

Compared to cars with internal combustion engines, manufacturing and maintaining electric cars is generally considered...

<p>Simpler, due to fewer parts needed. (A)</p> Signup and view all the answers

How might the increased adoption of autonomous vehicles have a positive impact on hospitals?

<p>By contributing to a reduced need for emergency room capacity due to fewer accidents. (D)</p> Signup and view all the answers

What type of tax is primarily used to fund infrastructure projects like road maintenance and bridge repairs in the United States?

<p>A fuel tax applied to each gallon of gasoline purchased. (A)</p> Signup and view all the answers

Why does the text suggest that fuel taxes may change in the future?

<p>Because many traditional automobiles will be replaced by electric and autonomous vehicles. (A)</p> Signup and view all the answers

What does the term 'parts' refer to in the context of vehicle manufacturing, according to the text?

<p>Pre-assembled components, including major parts such as transmissions. (D)</p> Signup and view all the answers

In what specific way do electric motors differ from traditional internal combustion engines with regards to torque delivery ?

<p>Electric motors can deliver consistent torque to each wheel. (D)</p> Signup and view all the answers

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Flashcards

What is Artificial Intelligence (AI)?

The study and development of computer systems that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

What is AI's impact on mobility?

The use of AI technologies to improve and revolutionize how people and goods move from one location to another.

How does AI benefit the healthcare sector?

AI is transforming how we diagnose and treat illnesses, improving patient care, and making healthcare more efficient.

What are some applications of AI in finance?

AI is used to automate tasks, analyze financial data, prevent fraud, and create new financial products and services.

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How does AI impact the retail industry?

AI is used in retail to optimize inventory management, personalize customer experiences, and automate tasks like order fulfillment.

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Intermodal mobility

Travel that combines two or more modes of transportation, such as bus and train.

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Mobility ecosystem

A system that supports and enables the interconnectivity of different transport modes.

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Seamless mobility

The ability to use transportation services effortlessly, without complications or disruptions.

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Autonomous driving

The use of autonomous vehicles, meaning vehicles that can drive themselves without human intervention.

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Shared vehicle usage

The ability to share vehicles, reducing the need for individual car ownership.

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Impact of autonomous driving on the automotive industry

The impact of autonomous vehicles on the automotive industry, potentially leading to a decline in car sales.

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Impact on fuel taxes

The financial impact of reducing gasoline consumption due to fewer cars on the road.

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Impact on vehicle licensing fees

The potential change in vehicle licensing fees due to reduced private car ownership.

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Smart Mobility

A future vision of transportation that uses data and AI to seamlessly connect different modes of transport, such as cars, trains, buses, and trolleys.

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Car & Ride-sharing

The shift away from owning a car and towards using shared vehicles or ride-hailing services.

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Autonomous Vehicles

Vehicles that can drive themselves without human intervention, often equipped with advanced sensors to navigate their surroundings.

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Multimodal Transportation

The integration of different transportation modes (like cars, buses, trains) to create a smooth, multi-modal travel experience.

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Gradualism in Transportation

The concept of gradually introducing and evolving new technologies in transportation, ensuring existing infrastructure and systems continue to function.

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Transportation Disruption

Rapid, disruptive changes in transportation due to technological advancements and shifting societal needs.

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Self-Driving Technology in Existing Vehicles

Existing cars fitted with self-driving features while still maintaining the traditional driver-car relationship.

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Trialing Self-Driving Technology

The gradual integration and testing of self-driving technologies in specific, controlled environments.

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What is the traditional mobility ecosystem?

A system of connected roads, airports, train stations, and bridges, along with their associated traffic rules.

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What is the transition in mobility?

The shift from personally owned vehicles like cars or bicycles to using shared public transportation systems.

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What are the new selling opportunities in the mobility industry?

New car features that offer opportunities for businesses to generate revenue through advertising, entertainment, navigation, and data analytics.

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What is the role of data in the new mobility ecosystem?

The increase in data available in the mobility system, including information about vehicles, drivers, and traffic patterns.

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What is the relationship between AI and automobiles?

The application of AI in the automotive industry to develop self-driving vehicles.

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How are autonomous vehicles being trained?

The ability for manufacturers to teach self-driving cars how to operate before they can be used on public roads.

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What is the significance of AI for self-driving cars?

The use of AI to analyze and make decisions about the driving process, factoring in all variables like speed, traffic, and potential dangers.

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What aspects of driving have been automated for a while?

The ability of self-driving cars to perform actions like acceleration, breaking, and steering, which have been possible for some time but with AI, are now more complex and adaptable.

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Study Notes

Unit 5: Applications of Artificial Intelligence

  • Study Goals: This unit covers how AI techniques will impact mobility, healthcare, finance, and retail. It also explores how AI supports financial processes and creates new business models. Finally, the unit highlights AI's role in optimizing retail supply chains and tailoring customer service.

5.1 Mobility and Autonomous Vehicles

  • Mobility: AI is revolutionizing how people move, making it faster, cheaper, safer, and more sustainable. The concept of "smart mobility" integrates various transportation types into seamless experiences.
  • Autonomous Vehicles: AI-powered self-driving vehicles are evolving, enabling 24/7 operation and potentially reducing accidents.
  • Intermodal Mobility: AI is crucial for the seamless integration of multiple transportation options, like buses and trains.
  • Importance of Extended Mobility: Autonomous driving will impact the automotive industry, leading to a decline in car ownership and more reliance on shared mobility services.

Importance of Extended Mobility

  • Paperwork: Accident liability and insurance procedures need to adapt to the use of autonomous vehicles.
  • Other Mobility Considerations: New mobility solutions include self-driving, personalized vehicles, and shared transportation resources.

The Relationship Between Artificial Intelligence and Automobiles

  • Integration: AI is used in cars for tasks like acceleration, braking, and steering, enabling self-driving capabilities.
  • Technologies: Radar, cameras, GPS, and cloud services are critical components for the development of self-driving vehicles.
  • Tesla Example: Tesla exemplifies the application of AI in cars, offering features such as autopilot and predictive maintenance.

5.2 Personalized Medicine

  • Early Detection: AI plays a critical role in detecting diseases early to prevent them from progressing.
  • Personalization: Personalized treatments are a key aspect of modern medical practice, with AI helping to tailor care for each patient, taking genomics and other details into account.
  • Evidence-Based Approach: AI enables a more scientific medical system that combines historical information and clinical trials with new data to inform treatments.

5.3 FinTech

  • FinTech: This encompasses various applications of technology in finance, including general analytics, artificial intelligence, and software using computing as the crucial component.
  • FinTech Hope: FinTech aims to revolutionize the financial sector, bringing about more efficient and secure transactions. This is achieved in part via digital currencies and mobile devices.
  • FinTech Reality: Established financial institutions are adapting to FinTech by innovating and partnering with start-ups.

5.3 FinTech - Product Categories

  • Crowdsourcing: FinTech platforms that leverage crowds for creative tasks, funding, and other services. Crowdlending is specifically about peer-to-peer lending.
  • Blockchain and Cryptocurrencies: Digital currencies that operate on a decentralized ledger to offer potentially efficient and secure transactions.
  • Peer-to-Peer Payment Systems: These systems connect individuals for financial transactions. Examples include PayPal.
  • Robo-Advising: Automated portfolio management services utilizing AI for allocating financial assets.

5.4 Retail and Industry

  • Customer Experience: The technological advancements are creating an enhanced experience for customers.
  • Customer Expectations: AI allows retailers to predict customer behavior and tailor an experience to the needs of an individual customer.
  • Forecasting: Retail sales forecasting continues to evolve, using conventional statistical methods as well as advanced techniques incorporating AI and machine learning.

Miscellaneous Retail Technologies

  • Internet of Things (IoT): Using connected devices enables greater efficiency in retail processes, such as in warehouse operations, or in other areas.
  • Facial Recognition: In retail, AI is used to understand consumer behavior and anticipate customer needs.
  • Predictive Analytics: AI is crucial for improved demand and supply chain management in retail, along with more accurate demand prediction.

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