Photo AI

Answer all of the following: (a) Industry 4.0 (4th industrial revolution) is a fusion of leading-edge production techniques and smart systems that integrate with organizations and people - Leaving Cert Engineering - Question 2 - 2022

Question icon

Question 2

Answer-all-of-the-following:--(a)-Industry-4.0-(4th-industrial-revolution)-is-a-fusion-of-leading-edge-production-techniques-and-smart-systems-that-integrate-with-organizations-and-people-Leaving Cert Engineering-Question 2-2022.png

Answer all of the following: (a) Industry 4.0 (4th industrial revolution) is a fusion of leading-edge production techniques and smart systems that integrate with or... show full transcript

Worked Solution & Example Answer:Answer all of the following: (a) Industry 4.0 (4th industrial revolution) is a fusion of leading-edge production techniques and smart systems that integrate with organizations and people - Leaving Cert Engineering - Question 2 - 2022

Step 1

Describe the term Artificial Intelligence (AI).

96%

114 rated

Answer

Artificial Intelligence (AI) is a broad field within computer science focusing on creating systems capable of performing tasks that typically require human intelligence. This includes problem-solving, understanding language, recognizing patterns, and making decisions. AI can simulate cognitive functions, enhancing productivity and efficiency in various domains.

Step 2

Explain the basic difference between machine learning and deep learning.

99%

104 rated

Answer

Machine learning is a subset of AI that uses statistical techniques to enable systems to learn from data and improve over time without being explicitly programmed. It involves algorithms that analyze data to identify patterns and make predictions. Deep learning, on the other hand, is a specialized area of machine learning that utilizes neural networks with many layers (hence 'deep') to process complex data such as images and speech, learning to make decisions based on this information.

Step 3

Describe the difference between Artificial Narrow Intelligence (weak AI) and Artificial General Intelligence (strong AI).

96%

101 rated

Answer

Artificial Narrow Intelligence (weak AI) refers to AI systems designed to perform specific tasks, such as voice recognition or image classification, without possessing consciousness or understanding. These systems can excel in their limited scope but lack the ability to adapt to new tasks. In contrast, Artificial General Intelligence (strong AI) represents a theoretical form of AI that would possess the ability to understand, learn, and apply intelligence in a generalized manner, akin to human cognitive capabilities.

Step 4

Explain any two of the following terms in relation to artificial intelligence and smart manufacturing: Reactive machines, Limited memory.

98%

120 rated

Answer

Reactive machines are AI systems that can react to current situations but do not retain past experiences or learn over time. An example is IBM's Deep Blue, which plays chess based on the current state of the game without prior knowledge. Limited memory refers to AI systems that can retain information for a short duration, enabling them to learn from past data, such as self-driving cars that remember recent activities to make informed driving decisions.

Step 5

Explain any two of the following in relation to smart manufacturing: Predictive maintenance; Supply chain management.

97%

117 rated

Answer

Predictive maintenance employs data analytics to anticipate equipment failures before they occur, thus optimizing repair schedules and reducing downtime. This is achieved by analyzing historical performance data and operational conditions. Supply chain management leverages AI to enhance decision-making by predicting demand and optimizing logistics, ultimately improving efficiency and reducing operational costs.

Step 6

Discuss each of the following in relation to artificial intelligence: Economic benefits; Ethical concerns.

97%

121 rated

Answer

Economic benefits of AI include increased automation, which drives efficiency and productivity across industries. AI can lead to innovation in services and products, enhancing customer experience and contributing to overall economic growth. Ethical concerns arise from potential job displacement due to automation, privacy issues related to data usage, and the ethical implications of autonomous decision-making systems, necessitating careful consideration in AI deployment.

Join the Leaving Cert students using SimpleStudy...

97% of Students

Report Improved Results

98% of Students

Recommend to friends

100,000+

Students Supported

1 Million+

Questions answered

;