Get a read on your analytical skills
That’s one hell of an exciting trip through this week that’s going to take you into the whole intelligence experience with an up-close understanding of what it is and what it really means to be in great elevation. Well, let’s take a tour of its different applications, and the way above this enormous domain shows the enormous scales of transforming realities.
From health to finance, industry to transportation and beyond, entertainment, a keyword in this topical debate, AI’s dash over industries is transforming how we live and work and interact with technology. By the time we end this journey, one should already be half won over by the sheer volume and at times dangerous power of AI in our lives and what it can do with the future.
Learning Objectives:
- Define AI and its core concepts.
- Explore examples, applications, and the broader impact of AI across a variety of sectors.
- Study Generative AI and its possible use cases.
- Use an artificial intelligence application to see what it can do firsthand.
GRADED: WHAT IS AI? APPLICATIONS AND EXAMPLES OF AI
1. Which of the following is NOT a good way to define AI?
- AI is the use of algorithms that enable computers to find patterns without humans having to hard code them manually
- AI is all about machines replacing human intelligence. (CORRECT)
- AI is Augmented Intelligence and is not intended to replace human intelligence rather extend human capabilities
- AI is the application of computing to solve problems in an intelligent way using algorithms.
But AI is not merely replicating the intelligent behavior that a human may manifest, as it is clearly much more focused than that. Humans will also come much closer to augmenting themselves in terms of intelligence and what they could do-if anything is possible in that sense-with machines that would enable them to make more informed decisions or solve even the most complicated issues, thus allowing greater efficiency in various tasks.
2. Which of the following is an attribute of Strong or Generalized AI?
- Can perform specific tasks, but cannot learn new ones
- Operate with human-level consciousness
- Perform independent tasks (CORRECT)
- Cannot teach itself new strategies
General AI, or Artificial General Intelligence (AGI), means the independent performing task-and-learning systems on their own and later programming themselves for entirely new problem-solving techniques. Opposite to being specialized or narrow, which defines the excellence to specific tasks, Generalized AI understands, learns, and applies intelligence to its several activities or actions as human cognitive abilities exhibit.
3. AI is the fusion of many fields of study. Which of these fields, along with Computer Science, plays a role in the application of AI?
- All responses are correct (CORRECT)
- Mathematics
- Philosophy
- Statistics
The meeting point of several throwing fields is today achieved in the most complex and contrived prose. It is with the contribution of philosophy for its fundamentals about smartness and ethics that these lines are drawn.
4. Which of these is NOT a current application of AI?
- Self-Driving vehicles utilizing Computer Vision to navigate around objects
- Collaborative Robots helping humans lift heavy containers
- Classifying rock samples to identify best places to drill for oil
- Making precise patient diagnosis and prescribing independent treatment (CORRECT)
It has the capability of helping the clinician in the preliminary diagnosis and analyses of the medical data patterns and further decision support. Replacing doctor-patient one-on-one interactions is yet. This is to augment his expertise and not replace the doctor-patient such that all human connections and communications that occur sometime during the consultation are built along personal interaction, empathy, and ability in understanding the unique patient concerns-without any possibility of replication by the artificial intelligence.
5. Natural Language AI algorithms that learn by example are the reason we can talk to machines and they can talk back to us.
- True (CORRECT)
- False
Artificial intelligence has Natural Language Processing (NLP) and Natural Language Generation (NLG) capabilities by which machines understand, interpret, and produce human speech, thus enabling a two-way interaction between humans and machines via natural languages. Such AI-enabled systems include an example collection: IBM Watson, Amazon Alexa, Apple Siri, Microsoft Cortana, and Google Assistant. All these virtual assistants can understand, answer questions, issue recommendations, or perform tasks through spoken or written language input in order to reach more accessible human-computer interaction.
6. Advances in the field of Computer Vision make which of the following possible?
- Real-time transcription
- Detecting cancerous moles in skin images (CORRECT)
- On-demand online tutors
- Detecting fraudulent transactions
The computer vision algorithms are most helpful to a doctor to make a preliminary diagnosis. With the assistance of AI, such technology analyzes medical images, including X-rays and MRIs. They create patterns to show symptoms, abnormalities that the eye can’t see. For instance, AI may be used to find a tumor or a fracture or any other health conditions. An artificial intelligence algorithm can also be used to spot moles on the skin that are growing into cancer, enabling greater early detection and timely intervention. These technological advances are enhancing accuracy in diagnosis accomplishment.
7. Which of these is currently NOT an application of Collaborative Robots or Cobots?
- Robots helping humans lift heavy containers
- Robots assisting or replacing humans in jobs that may be dull, dangerous, ineffective or inefficient when done by humans
- Personal use in the home such as doing the laundry and cooking for example (CORRECT)
- Robots helping move items on shelves for stocking purposes
Absolutely! Through collaborative robots, or cobots, everyone would like to think that there would be a day future venturing into doing independent activities such as doing laundry. Yes, many things are happening in the robotics field, with robots meant for lift assistance, manufacturing, or performing lesser tasks at home; full-on laundry jobs would still not be in the near future in a household.
8. Which of the following aspects involved in converting the stethoscope into a digital device to support patient diagnoses involves the use of AI?
- Graphing heart beat data on the mobile device allowing a physician to spot trends
- Sending digital signals to a mobile device with a machine learning app via bluetooth
- Inserting a digitizer into the stethoscope tube to convert the analog sound of the heart beat into a digital signal
- An app on the mobile device that applies learnings from previous diagnosis data to assist the physicians in their current diagnoses (CORRECT)
A perfect example of AI applications in healthcare would be an app that uses ML algorithms learned from previous dataset diagnoses to offer potential diagnoses to a physician as guidance in findings. This application is classified under Clinical Decision Support Systems (CDSS), which further helps to provide better healthcare by supporting physicians in accurate and timely decisions.
9. Which of the following are applications of Artificial Intelligence in action?
A. IBM Watson utilizing its information retrieval capabilities to provide technical information to oil and gas company workers.
B. Watson analyzing Grammy nominated song lyrics over a 60-year period and categorizing them based on their emotions.
C. Assisting patients with neurological damage by detecting patterns in massive movement related datasets and using robots to trigger specific movements in the human body to create new neural pathways in the brain.
D. Law enforcement authorities using facial recognition algorithms to identify suspects in multiple streams of video footage
- Only option A is correct
- None of the options are correct
- All of the options are correct (CORRECT)
- Only options A, B, and C are correct
10. Which of the following is NOT a way that AI learns?
- Intuitive learning (CORRECT)
- Reinforcement learning
- Unsupervised learning
- Supervised learning
Indeed! AI learns by looking at examples and building machine learning models from these examples as input or goal outputs. Learning can be categorized into these three broad categories: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Let’s take a closer look at each one of these:
11. Which one of these ways is NOT how AI learns?
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Proactive Learning (CORRECT)
Yes, this has been summarily put! AI learns from examples taking into account predictions made by machine learning-created models. Such examples used are given input and needed outputs to infer prediction, classification, or actions performed on the input given. These learning methodologies – Supervised Learning, Unsupervised Learning, and Reinforcement Learning – comprise the major learning types by which AI systems learn. Here’s a summary paragraph:
12. Which of the following are attributes of Weak or Narrow AI?
- Perform specific tasks (CORRECT)
- Teach itself new strategies in a variety of domains
- Learn new tasks to solve new problems
- Make decisions based on programmed algorithms and training data in a specific domain (CORRECT)
Yes! Weak or Narrow AI means applying artificial intelligence that works to doa specific task or function under a narrow domain. Such systems operate under certain preprogrammed rules or learned patterns from the training data. They do not have general intelligence or consciousness like a human being. Its strength lies in doing specialized tasks powerfully, such as language translation, image recognition, or recommendation systems, but under the predetermined dimension.
13. What is the role that philosophy plays in AI?
- Determine the application in software and hardware
- Provide guidance on ethical considerations (CORRECT)
- Determine viable learning models and measure performance
Philosophy provides guidance on intelligence and ethical considerations.
14. In which of the following ways can Artificial Intelligence (AI) be defined?
- AI is about giving machines the intelligence and capabilities to think like humans so they can do every job that a human can
- AI is the application of computing to help machines solve problems in intelligent ways without humans having to hard code the desired outcomes manually (CORRECT)
- AI is an augmented intelligence, whihc helps human experts make evidence-based informed decisions while the machines do the time-consuming work (CORRECT)
Of course! Artificial intelligence is supposed to aid human intelligence through processing data on a very large scale and providing insights to experts for improved and well-informed decision making. AI systems process data through mathematical algorithms to identify patterns, trends, and associations. Machine learning, an area of artificial intelligence, specifically allows systems to improve in the course of time by studying examples (inputs) and modifying them in order to generate more precise output.
15. Which of these statements describes AI accurately from the speakers point of view?
- AI enables computers to understand certain kinds of data that they could not have understood before, such as natural language, auditory and visual data (CORRECT)
- AI is human intelligence simulated wholly within a computer
- AI will be the downfall of humanity
True enough! AI does process both structured and unstructured data to figure out the intricate patterns, trends, and insights within them.
16. Which of the following are applications of Computer Vision?
- On-demand online tutors
- Detecting fraudulent transactions
- Self-driving cars (CORRECT)
- Finding symptoms in X-Ray and MRI scans (CORRECT)
And it helps detect the signs in cases of X-ray or MRI scanning, as well as cancer detection in skin images.
Self-driving cars with the assistance of computer vision navigate streets and highways while safely maneuvering around obstacles.
17. Which of the following aspects involved in converting the stethoscope into a digital device to support patient diagnoses involves the use of AI?
- Amplifying the sound of heart beats so the physician can detect patterns more easily
- Inserting a digitizer into the stethoscope tube to convert the analog sound of the heart beat into a digital signal
- Using a machine learning model trained with previous diagnosis results to assist physicians with their current diagnosis (CORRECT)
Machine learning algorithms trained on historical diagnosis data are prime examples of AI technology at work in helping physicians make their findings.
18. Which of these is NOT an application of AI?
- Precise disease diagnoses and prescribing treatments independently (CORRECT)
- Classifying rock samples to identify best places to drill for oil
- Collaborative Robots helping humans lift heavy containers
Artificial intelligence is being used in the healthcare industry to assist physicians in the processes of making more accurate preliminary diagnoses; however, AI is still not capable of making accurate independent disease diagnoses.
19. AI is being used in the recovery of patients who have suffered a neurological trauma by triggering new neural pathways to form in their brain using robotic devices to trigger corresponding movements in the body.
- True (CORRECT)
- False
The different movements of the human body get associated with certain areas of the brain that control them. Thus, using very extensive information collected on how people move and the relationship of such movements with brain regions, AI robotic systems could trigger specific movements in the body that would be instrumental in paving new neural pathways in the brain.
20. In which of these applications did Watson analyse emotional themes and categorize them based on varied human emotions?
- Watson playing Jeopardy to win against two of its greatest champions, Ken Jennings and Brad Rutter
- Watson teaming up with the Academy to analyze Grammy nominated song lyrics over a 60 year period and categorize them (CORRECT)
- Watson collaborating with ESPN to share insights that help Fantasy App users make better decisions to win their weekly matchups
Watson dug through the lyrics of Grammy-nominated songs across the course of over fifty years to find the emotional themes that come through music and categorized them according to emotions like joy, sadness, and others.
CONCLUSION – What is AI? Applications and Examples of AI
At the conclusive end of this edition from week five, the enlightenment that the exposure to “artificial intelligence” (AI) this week has opened up is key for appreciating its fundamental definitions, uses, and transformational impact on society. As with their practical translation into industry applications, we have traced the way AI is currently changing lives.
As they go toward the future, in a continuously changing technological environment, let them continue to be curious and enthusiastic and informed so that they can responsibly harvest the fruits of AI’s further improvements to the human experience.