Artificial Intelligence a Modern Approach 4th US Edition

Artificial Intelligence (AI) is a term used to describe the increasing use of machines without human intervention

to perform tasks which require human intelligence such as visual perception,

speech recognition and decision-making. The AI industry is currently creating applications that assist users with

routine tasks such as doing their taxes while helping them find better jobs or solving complex math problems. Artificial Intelligence a

Modern Approach 4th US Ed This article will give you an insight into the history of artificial intelligence and what

we can expect from it in the coming years. It presents a brief overview of artificial intelligence in order to help

understand its potential benefits while still keeping an eye on future developments.

We’ll also discuss some important developments in the field of machine learning in the near future.

Artificial Intelligence Is Just Changing Our Way Of Thinking

Artificial Intelligence (AI) has been around for decades but have only recently become a mainstream part of

everyday life. Even back then computers had been able to mimic

the cognitive abilities of humans through the creation of software programs called “computers,” like the game playing computer game Chess, although these

were very primitive in processing and outputting information.

Artificial Intelligence a Modern Approach 4th US Ed Computers

were not capable of performing tasks like driving cars or beating their predecessors at Chess.

However, one major step towards making machines more intelligent was made by Alan Turing in 1950

when he developed a test that demonstrated that machines could actually think.

He put his thoughts about this new technology into a fictional story titled As I Lay Dying, which later became a

movie. There were many attempts to create Artificial Intelligence before Alan Turing finally made

it happen but none were any good. During World War II there

weren’t much research going on but since people

wanted to learn more they created machines and began developing these systems after that war ended.

In 1960, in 1962, John McCarthy was awarded a PhD in electrical engineering,

specifically neural networks, during the Dartmouth Summer Research Project.

Later on, three other researchers followed him including Warren McCulloch,

Walter Pitts and Marvin Minsky. They all continued experimenting with neural

networks throughout the next decade. During 1966-1967, Geoffrey Hinton and Aaron Courville, two prominent

scholars of Computer Science, invented their own kind of neural network called Long Short Term Memory

(LSTM). At first, people thought it was really the latest way of remembering stuff but soon after discovered the

system wasn’t just faster because of the longer short-term memory it acquired. People found out it didn’t just

memorized things like the numbers on a calculator, it also remembered past events.

After the same year of development, others came up

with different variations of LSTM to increase the amount of data that they could remember.

how many times a certain word

By 1973, there were hundreds of neural models in use, most of which contained layers between nodes and each node received inputs from previous ones.

So even though our computers are fast and accurate, they have no idea how many times a certain word has already entered their knowledge of the present world.

Artificial Intelligence a Modern Approach 4th US Ed For example,

if someone asks Siri for directions to somewhere she hasn’t seen before,

Siri doesn’t recognize where the person wants to go,

but she knows that her phone will recognise the address of the area with the highest probability.

In 1984, a group named the Society of Mind led several teams of scientists working in various areas to study the brain.

What they saw was amazing but they also observed

it would be far too large to try to model and so instead of trying to predict the result they tried to explain.

By the 1990s, Alan Turing was gone and computers started outperforming humans in simple types of tasks.

But as time went on technology improved more and more. The invention of the internet,

as well as video cameras, television, wireless radio, computers and cell phones, were all huge improvements to make our life easier. With advancements,

these inventions allowed us to interact with other people in

different parts of the globe through satellite tv, social media platforms and e-mails.

As we continue to reach technological milestones,

it allows us to interact with different forms of computing machines which allow us to do everything from watch

movies to buy goods online and communicate with friends, family and loved ones. When researching further,

scientists were shocked to find that computers were smart enough to learn their own language.

When people asked, scientists would say it wasn’t possible but now we know that a computer program can

translate text and other languages in different ways depending on the input given to it. One example was when

IBM’s DeepBlue program won against the best chess player in the last decade in 1997. It could win the first move

of a game and within five minutes, over one billion characters in English were transcribed. Despite being

impossible to beat, this computer program was programmed to play games almost perfectly which lead to

questions whether it was actually conscious or something else else altogether. Today, when you type in google, you

receive results to your searches in real time. We’ve reached human level performance in many kinds of tasks and

even self driving cars can now take instructions from

the driver and follow the road ahead to complete the trip safely.

Computing Machines Are Now Able To Work On Their Own Data

Many AI companies have stated that they aim to build a general AI in the range of 10 to 100 million human-like intelligent machines in the next few years and that many of those will eventually need to work together. An estimated 40 percent of the workforce in the United States alone will be replaced by robots as the average age of a worker is shrinking. And that number increases every day. As tech advances faster than ever, machines are becoming smarter and faster which means that they can be used to perform a wide range of activities, such as driving cars, taking care of people in hospitals and even performing surgical procedures. Artificial Intelligence a Modern Approach 4th US Ed also plays a vital role in medicine allowing doctors to predict certain diseases and treatments to improve the outcome of patients, which helps save lives.

Many of today’s medical devices such as MRI scanners allow medical professionals to see inside the body and diagnose diseases in high detail. Most technologies today are using the power of AI to identify objects and people using photo analysis. The image recognition software that is constantly improving leads to the ability to spot cancers earlier and help specialists detect the disease early. Doctors have access to advanced devices such as X-ray detectors to scan the lungs. The combination of multiple imaging techniques allows doctors to look deeper into the chest and find anything that might be causing breathing difficulties.

How We See AI Developing In The Future

The advancement of AI continues unabated and we can expect a completely transformed world with robots taking jobs and a bigger piece of our income. We can expect the development of Artificial Intelligence a Modern Approach 4th US Ed in many fields such as health diagnosis and prevention, communication, education, security and entertainment. Robots will always be able to fulfill their primary purpose since they don’t age, they can continue using technology as long as necessary and at least they won’t really complain since they don’t live. We also expect that in years to come, robot dogs will be roaming around streets. Or, maybe robot cats, depending on how clever their owners are. We are just very fortunate to enjoy our wonderful planet and we hope to share it with the rest of humanity through a robotic army in the sky.

As we embrace the future we will undoubtedly be faced with some great challenges. That’s why this article is worth reading for anyone who is interested in the topic, whether it be looking forward to the future of AI (especially its impact on our daily life), preparing your mind for the changes that lie ahead or simply wanting to make sure you know what it is like to be connected to a screen. Either way, this post will help you get more aware and get familiar with the current state of affairs in the global economy and may inspire you to start discussing these issues or trying out solutions yourself. Thanks for reading!