Use technology and technology services to collect data for your research task. a. Use at least one form of technology to collect data. b. Use at least one technology service to collect data. C. Summarise the data. d. Attach proof of how you've used technology and a technology service to collect data to this section of your portfolio . Proof may be provided in any appropriate format. For example : video clip or photo of you using the technology or technology service screen shot of you using technology or the technology service printout of electronic data.

The answer for the above question given below.. To the best of my knowledge..

Step-by-step explanation

Introduction:

Is it a good thing that technologies and computer science are developing so fast? No one knows for sure. There are too many different opinions, and some of them are quite radical! However, we know that technologies have changed our world once and forever. Computer science affects every single area of people's lives.

Just think about Netflix. Can you imagine that 23 years ago it didn't exist? How did people live without it? Well, in 2020, the entertainment field has gone so far that you can travel anywhere while sitting in your room. All you would have to do is just order a VR (virtual reality) headset. Moreover, personal computers give an unlimited flow of information, which has changed the entire education system.

Every day, technologies become smarter and smaller. A smartphone in your pocket may be as powerful as your laptop. No doubt, the development of computer science builds our future. It is hard to count how many research areas in technologies and computer science are there. But it is not hard to name the most important of them.

Artificial intelligence tops the charts, of course. However, engineering and biotechnology are not far behind. Communications and media are developing super fast as well. The research is also done in areas that make our lives better and more comfortable. The list of them includes transport, food and energy, medical, and pharmaceutical areas.

Artificial Intelligence (AI) is a broad branch of computer science that is focused on a machine's capability to produce rational behavior from external inputs. The goal of AI is to create systems that can perform tasks that would otherwise require human intelligence. AI manifests itself in everyday life via virtual assistants, search prediction technology, and even ride-hailing services.

Types of Artificial Intelligence:

1. Reactive Machines

Reactive machines perceive present external information and plan actions accordingly. The machines perform specialized duties and only understand the task at hand. The machines' behavior is consistent, given a repeated situation. In the 1990s, IBM developed a reactive machine named Deep Blue to play competitive chess, predicting chess moves by identifying each piece's board placement.

2. Limited Memory

Limited memory machines can harness recent observations to make informed decisions. The machines consider observational data in reference to their pre-programmed conceptual framework. The observational data is retained for a limited period and then forgotten.

3. Theory of Mind

Theory of mind machines can form thoughts and make decisions in reference to emotional context; thus, they can participate in social interaction. The machines are still in the development stage; however, many exhibit aspects of human-like capability. For example, consider voice assistant applications that can comprehend basic speech prompts and commands but cannot hold a conversation.

4. Self-Awareness

Self-awareness machines demonstrate intelligent behavior through ideation, the formation of desires, and understanding their internal states. In 1950, Alan Turing developed the Turing Test to identify machines that could behave indistinguishably from a human being.

Artificial Intelligence's Increasing Relevance

Artificial intelligence's growing popularity in the 21^st century is largely due to the advancements in the sub-field of machine learning. Machine learning develops systems that improve upon themselves, which is accomplished through the identification of algorithms. Some processes that machine learning optimizes include paperwork automation, forensic accounting, and algorithmic trading.

How is Machine Learning Achieved?

The easiest way to understand how a machine becomes intelligent with AI is to compare it to how humans learn. For example, consider a child learning how to ride a bicycle. The child mounts the bicycle, grips the handlebars, and hopes to stay upright and in control. The child does not learn how to ride a bike by understanding the physics of biking but rather through trial and error.

Over time, the child becomes instinctively adept in perceiving factors that can make him lose control of the bicycle. Just as a child learns the unwritten rules of riding a bicycle through practice, artificial intelligence is developed through repeated simulation.

1. Supervised Learning

Supervised learning is the most common learning method in the field of artificial intelligence. A machine attempts to derive a function given labeled sets of input and output pairs. When dealing with a numerical data set, regression is used. When dealing with categorical variables, classification is the preferred method. If the model provides an incorrect answer, the model can be adjusted to provide more accurate outputs.

2. Unsupervised Learning

Unsupervised learning involves a machine transforming data into useful information. Common methods include clustering and association. Clustering groups similar variables together, whereas association detects correlation among variables. Data mining utilizes clustering and association to filter through large data sets. The process of transforming large data sets into meaningful information can be optimized with unsupervised learning.

3. Reinforcement Learning

In reinforcement learning, a machine autonomously responds to external stimuli and is conditioned through occasional rewards and punishment. The purpose of the reinforcement learning method is to develop a machine that can act rationally independently.

The large investment bank, J.P Morgan, currently uses reinforcement learning algorithms to place trades. This is accomplished through programming that accordingly awards or penalizes the algorithm depending on the decision made.

Future Impact of Artificial Intelligence

Rapid advances in artificial intelligence will result in a profound impact on productivity, employment, and competition. However, AI's future integration into society is a controversial subject.

Impact on Productivity

Impact on Employment

Impact on Competition

Summary

• Artificial Intelligence (AI) aims to develop machines that can accomplish what a human can in terms of reasoning.
• The four types of artificial intelligence are reactive machines, limited memory, theory of mind, and self-awareness.
• Artificial intelligence now affects productivity, employment, and competitive behavior in significant ways.