essay

Title: Group Research Project

Jinlinzi Chen Hao-Hsiang,Tseng

Ziyi Wu

CIS 3100 Professor Kan Wang

Artificial Intelligence

Have you ever heard about Artificial Intelligence (AI) in your life? Some people

might know a lot about AI, but some might just hear about it for the first time. Artificial

Intelligence is also called “machine intelligence” which is the area of science that

focuses on creating machines that have the ability to behave more intelligent than

human beings. For example, people nowadays use AI as autonomous weapons,

autonomous industry, decision-making and so on. ​Artificial intelligence has become a

big controversy between scientists within the past few years. All scientists are arguing

that will artificial intelligence improve human’s communities in ways we humans can’t, or

will they just cause danger to human? ​The scope of AI is disputed as a thing which

hasn't been done yet. ​Actually, during over 50 years of research and introduction in

techniques of artificial intelligence programming have led people to believe that the

dream of such smart capabilities will soon become a reality. The main issue of artificial

intelligence is the challenges that have not yet been met and scientists are not yet

aware how to resolve the issue in terms of manufacturing intelligence.

From now, AI is strongly influencing people's life and be more powerful. In recent

years, business and technology companies are looking for another great technological

leap forward. According to The New York Times, it shows “Self-driving cars, factory

robots and a new class of farm hands known as ag-robots are already demonstrating

what increasingly mobile machines can do. Indeed, the rapid advance of computer

vision is just one of a set of artificial intelligence-oriented technologies — others include

speech recognition, dexterous manipulation and navigation — that underscore a sea

change beyond personal computing and the Internet, the technologies that have defined

the last three decades of the computing world. ‘During the next decade we’re going to

see smarts put into everything,’ said Ed Lazowska, a computer scientist at the

University of Washington who is a specialist in Big Data. ‘Smart homes, smart cars,

smart health, smart robots, smart science, smart crowds and smart computer-human

interactions. Apple was the most successful early innovator in popularizing what is

today described as ubiquitous computing. The idea, first proposed by Mark Weiser, a

computer scientist with Xerox, involves embedding powerful microprocessor chips in

everyday objects.”(John, 2013) Through ​continuous efforts and updates on AI by

scientists, it also constantly solve basic a problem efficiently and bring benefits to our

life.

People might have questions on AI: why is it suddenly so hot or why is it

everywhere? According to CNBC, it said “In 2012, Google made headlines when it

trained a neural network with 16,000 central processing unit (CPU) chips on 10 million

images from YouTube videos and taught it to ​recognize cats​. But later that year, the

world of image recognition was rocked when an eight-layer neural network trained on

two graphics processing units (GPUs) ​outdid all others in a competition to accurately

classify images based on their content. Months later, Google acquired DNNresearch,

the University of Toronto team behind the breakthrough. Since then, AI activity has only

accelerated, with the world's top technology companies leading the way.”(Jordan, 2017)

Meanwhile, many and many technology companies continue to research and create

more successful AI on their work which can cause benefit to people’ life.

There are many examples show that AI has strongly connected with people's

lives and make our life to be efficiently working. According to CNBC, it shows that

“Amazon has long used A.I. to recommend products in its e-commerce business, and it

employs robots to move products around fulfillment centers. But in the past few years

the company has brought in some revenue by selling ​Amazon Echo speakers through

which people can talk to Amazon's Alexa virtual assistant. While Alexa's speech

recognition isn't perfect, it does quickly respond to user input, and it plugs into an

increasing number of third-party services and devices. Building on the public's

fascination with Alexa, Amazon last year ​introduced AI services for recognizing objects

in images and understanding voice and text input. Amazon has also opened a

convenience store that uses A.I. to identify the products that customers grab off the

shelves.”(Jordan, 2017) And also like Apple, Facebook, Microsoft and Google

companies have using AI technology add on their product, so that it makes their product

to be more powerful.

In other hands, AI is not only can use on the electronic product, but also on the

car. According to The New York Times, it said “recently General Motors and Nissan

have said they will introduce completely autonomous cars by the end of the decade. In

a blend of artificial-intelligence software and robotics, Mobileye, a small Israeli

manufacturer of camera technology for automotive safety that was founded by Mr.

Shashua, has made considerable progress. While Google and automotive

manufacturers have used a variety of sensors including radars, cameras and lasers,

fusing the data to provide a detailed map of the rapidly changing world surround a

moving car, Mobileye researchers are attempting to match that accuracy with just video

cameras and specialized software.”(John, 2013)

With the development of the times, the field of AI show people that they can

solve basic problems efficiently; help people to build on observations; tie people

application to an end goal and it also has the high percentage of making the right

decisions.

Most people nowadays use technology in many places and on most of the things

as possible. Technology makes people’s life easier and faster to find the solutions or

make more improvements. There are many different areas in the society uses Artificial

Intelligence (AI) to improve their progress of results and the speed of their work. AI is a

machines that learns what was coded or trained by the specialist into the program which

is saved in their system and they will almost perfectly solve the problem.

The one case that our group was focusing on was about healthcare sector which

help post- operative patient care process. We understand that health is really important

to living human being and most hospitals are trying their best to help the society.

However, there are limited doctors and nurse in many of the hospitals and there are

tons and tons of people coming in everyday to the hospital for help. If there are AI

helpers to help, it will make the people who work in the hospital life so much easier.

There are many people that goes to the hospital and have their operations done

in there. The case that we are looking and aiming was where should the patient go after

the operation. Do the patient need to stay in the hospital and move to the general care

hospital floor (GC) or need to be transferred to intensive care (IC) or the patient may go

home right after the operation. These jobs are usually done by the doctors and nurses

before having AIs around. However, it does take a lot of time for the doctors to go

around the patients one by one and examine them and it does take a lot of energy too.

Just imagine there are 15 patients and one doctor on duty, it does take a lot of time and

doctors are humans too.

In order to make things run fast and at the same time very reliable. AI will be the

best helper for the hospitals. All they need to have and collect are all the necessary

datas from the patients which decides whether the patient should stay or not and the

nurses will coded or trained to an AI. And after the AI is well trained, they will easily tell

what is the next step to the patient.

This will be so much faster and accurate for the doctors and nurse to make the

decision. And it is actually more reliable than humans because AI follows the data and

makes the decisions and they will never get tired or interrupted by external factors.

Doctors and specialist however can focus on other important things that need to be

done. And of course patient will be more satisfied about the results and how fast the

process was.

There is another case study that was part of the healthcare sector is about

Breast Cancer Diagnosis Process. This one will be more complicated than the previous

case. This one diagnosis whether the patient have breast cancer or not. The patient

does go through many different progress with different digitized images and use the

computer to analysis it. In order to study, they collected all the datas and train to the AIs

and then AI when learned how to recognize the characteristics of the having the breast

cancer or not.

People use the AI because it does take less time and faster to cure the patient

and it has better reliable results. AIs will do the confusing measurements to use as the

decisions. It is very convenient because it updates the datas and patient’s information

automatically.

As we talked about the two case studies

Reference

1. Markoff, John. “The Rapid Advance of Artificial Intelligence.” The New York

Times, The New York Times, 19 Oct. 2018,

www.nytimes.com/2013/10/15/technology/the-rapid-advance-of-artificial-intelligen

ce.html​.

2. Novet, Jordan. “Everyone Keeps Talking about A.I.-Here's What It Really Is and

Why It's so Hot Now.” ​CNBC​, CNBC, 23 June 2017,

www.cnbc.com/2017/06/17/what-is-artificial-intelligence.html​.

3. Casestudy:

https://zoltansomogyi.blogspot.com/2016/09/case-study-artificial-intelligence-in.html