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The History of Artificial Intelligence



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Artificial intelligence (AI) is the construction of computer programs capable of performing high-level mental processes. Its roots can trace back to the Rockefeller Institute's summer 1956 Dartmouth College conference. This meeting was attended by six people and is considered the beginning of AI workshops. John McCarthy, Marvin Minsky and others were responsible for the foundation of the field. This article will cover the history and effects of AI on humans.

Dartmouth College, summer 1956 conference

The Dartmouth artificial-intelligence conference was held July 13-15 2006. The purpose of the Dartmouth AI conference was threefold: to celebrate the accomplishments of the Summer Research Project from 1956, assess the progress made in AI, and project the future of the field. The conference was sponsored by Dartmouth College, DARPA, and private donors. For more information about the conference, please read on.

At the summer 1956 conference, attendees argued that the thinking processes of biological beings and humans were similar. Symbolic methods were developed, and the term "artificial intelligence" was coined. Many of these participants would become important contributors to AI. Nathaniel Rochester was also part of the group. He designed the IBM 701, which was the first computer that was commercially available. Arthur Samuel, who invented the term "machine-learning", was also a participant. He designed one of first self-learning computer software programs.


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The MOLGEN programme

MOLGEN was a program developed by Stanford University researchers. It was originally intended to be used in molecular biology research. This program learned how to manipulate DNA, slice it, and perform other chemical processes. Science published the results in 1979. Artificial intelligence has improved significantly since then and many programs are available to reproduce these abilities. These tasks are only possible with a small number of programs.


MOLGEN was formed to document and codify a system that could replicate the thinking involved in Hans Krebs’ discoveries. The system was also capable to perform shocking experiments and respond accordingly. It was still an important milestone in artificial intelligence history. They also made important advances in this field. Artificial intelligence made significant advances in the 1990s in machine learning and data mining. It was also during this time that Rodney Brooks' MIT Cog project made important advances towards a humanoid robot.

The theory of mind technology

Artificial intelligence's most controversial topic is the theory of mind. If it is properly conceived, this would make self-aware artificial Intelligence possible. Such a machine would know its presence in the world, what it sees, and understand the needs and emotions of others. AI needs to understand the nature and replicate consciousness in order for this to happen. It isn't yet possible. Here are three important things to know about Theory of Mind.

First, let's consider whether mind technology theory is scientifically sound. Computationalists are often the most prominent advocates of AI. While it is entirely possible that some of these machines might have conscious experiences, it is impossible to prove that all of them have them. While it may not be scientifically proven, the theory about mind technology is unlikely to stop AI becoming successful. There are many different ways to see the theory about mind technology.


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The impact artificial intelligence has on the human race

AI isn't a new phenomenon. For centuries, humans have used tools to make their lives easier and faster. The invention of tools was a driving force behind progress. Tools allowed humans to work more efficiently and faster. Modern tools and machines enable humankind to do so much more than without them. Artificial intelligence has allowed humans to stop working as hard as before.

The Future of Humanity Institute, Oxford University, conducted a June 2018 survey of 352 machine learning researchers. In the study, When Will AI Exceed Human Performance?" Evidence from AI Experts. The researchers interviewed optimists about AI evolution, and how AI will impact humankind. According to their survey, AI will soon outperform human labor in many areas, including retailing, school essay writing, and self-driving vehicles.




FAQ

How will governments regulate AI

While governments are already responsible for AI regulation, they must do so better. They must ensure that individuals have control over how their data is used. And they need to ensure that companies don't abuse this power by using AI for unethical purposes.

They also need ensure that we aren’t creating an unfair environment for different types and businesses. Small business owners who want to use AI for their business should be allowed to do this without restrictions from large companies.


What are the benefits to AI?

Artificial Intelligence is a revolutionary technology that could forever change the way we live. Artificial Intelligence has revolutionized healthcare and finance. It's expected to have profound impacts on all aspects of education and government services by 2025.

AI is already being used in solving problems in areas like medicine, transportation and energy as well as security and manufacturing. As more applications emerge, the possibilities become endless.

It is what makes it special. First, it learns. Computers are able to learn and retain information without any training, which is a big advantage over humans. Instead of being taught, they just observe patterns in the world then apply them when required.

AI is distinguished from other types of software by its ability to quickly learn. Computers can process millions of pages of text per second. They can instantly translate foreign languages and recognize faces.

Because AI doesn't need human intervention, it can perform tasks faster than humans. In fact, it can even outperform us in certain situations.

A chatbot called Eugene Goostman was developed by researchers in 2017. The bot fooled dozens of people into thinking it was a real person named Vladimir Putin.

This is proof that AI can be very persuasive. Another advantage of AI is its adaptability. It can be taught to perform new tasks quickly and efficiently.

This means businesses don't need large investments in expensive IT infrastructures or to hire large numbers.


How does AI function?

An artificial neural network consists of many simple processors named neurons. Each neuron takes inputs from other neurons, and then uses mathematical operations to process them.

Neurons are organized in layers. Each layer performs an entirely different function. The raw data is received by the first layer. This includes sounds, images, and other information. These data are passed to the next layer. The next layer then processes them further. Finally, the last layer produces an output.

Each neuron has a weighting value associated with it. This value gets multiplied by new input and then added to the sum weighted of all previous values. The neuron will fire if the result is higher than zero. It sends a signal to the next neuron telling them what to do.

This process repeats until the end of the network, where the final results are produced.


What do you think AI will do for your job?

AI will take out certain jobs. This includes drivers, taxi drivers as well as cashiers and workers in fast food restaurants.

AI will create new jobs. This includes positions such as data scientists, project managers and product designers, as well as marketing specialists.

AI will make it easier to do current jobs. This includes jobs like accountants, lawyers, doctors, teachers, nurses, and engineers.

AI will make jobs easier. This includes agents and sales reps, as well customer support representatives and call center agents.


What countries are the leaders in AI today?

China is the leader in global Artificial Intelligence with more than $2Billion in revenue in 2018. China's AI industry is led in part by Baidu, Tencent Holdings Ltd. and Tencent Holdings Ltd. as well as Huawei Technologies Co. Ltd. and Xiaomi Technology Inc.

China's government is heavily involved in the development and deployment of AI. The Chinese government has created several research centers devoted to improving AI capabilities. These centers include the National Laboratory of Pattern Recognition and the State Key Lab of Virtual Reality Technology and Systems.

China is home to many of the biggest companies around the globe, such as Baidu, Tencent, Tencent, Baidu, and Xiaomi. These companies are all actively developing their own AI solutions.

India is another country making progress in the field of AI and related technologies. India's government focuses its efforts right now on building an AI ecosystem.


What is AI good for?

There are two main uses for AI:

* Prediction – AI systems can make predictions about future events. AI can help a self-driving automobile identify traffic lights so it can stop at the red ones.

* Decision making – AI systems can make decisions on our behalf. You can have your phone recognize faces and suggest people to call.


Is Alexa an AI?

Yes. But not quite yet.

Amazon created Alexa, a cloud based voice service. It allows users to communicate with their devices via voice.

The Echo smart speaker, which first featured Alexa technology, was released. However, similar technologies have been used by other companies to create their own version of Alexa.

Some of these include Google Home, Apple's Siri, and Microsoft's Cortana.



Statistics

  • In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
  • According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
  • More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
  • In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
  • While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)



External Links

forbes.com


hbr.org


en.wikipedia.org


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How To

How to get Alexa to talk while charging

Alexa, Amazon's virtual assistant can answer questions and provide information. It can also play music, control smart home devices, and even control them. It can even speak to you at night without you ever needing to take out your phone.

Alexa allows you to ask any question. Simply say "Alexa", followed with a question. She will give you clear, easy-to-understand responses in real time. Alexa will continue to learn and get smarter over time. This means that you can ask Alexa new questions every time and get different answers.

You can also control other connected devices like lights, thermostats, locks, cameras, and more.

You can also tell Alexa to turn off the lights, adjust the temperature, check the game score, order a pizza, or even play your favorite song.

Setting up Alexa to Talk While Charging

  • Step 1. Step 1.
  1. Open Alexa App. Tap Settings.
  2. Tap Advanced settings.
  3. Select Speech recognition.
  4. Select Yes, always listen.
  5. Select Yes to only wake word
  6. Select Yes, then use a mic.
  7. Select No, do not use a mic.
  8. Step 2. Set Up Your Voice Profile.
  • Choose a name for your voice profile and add a description.
  • Step 3. Step 3.

Say "Alexa" followed by a command.

For example: "Alexa, good morning."

If Alexa understands your request, she will reply. Example: "Good Morning, John Smith."

Alexa will not respond to your request if you don't understand it.

  • Step 4. Step 4.

After these modifications are made, you can restart the device if required.

Notice: If you have changed the speech recognition language you will need to restart it again.




 



The History of Artificial Intelligence