saswatbaral

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Artificial Intelligence
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• The foremost information about artificial
  intelligence is what actual artificial
  intelligence means, how it came to be, and why
  this is challenging human existence as well as
  useful in this fast-growing technological world.
  To get this answer, the initials must be to learn
  about the emergence of artificial intelligence
  and all the information, foundations, and
  concepts about artificial intelligence.

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• The Turing Award, named after him, is the highest
  praise in computer science. 
• Marvin Minsky 
• He was a cognitive and computer scientist who
  worked with John McCarthy and was a member of the
  Dartmouth Conference. He conducted important
  research in the fields of artificial neural
  networks and artificial intelligence. In 1969, he
  received the Turing Award. 
• Allen Newell
• He was also present at the Dartmouth conference.
  Newells contributions to AI included the
  Information Processing Language in 1956, as well
  as two of the early AI algorithms. 
• Claude Shannon 
• The founder of information theory assisted in the
  planning of the Dartmouth Conference. 

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• Nathaniel Rochester 
• Rochester was well-known for creating the first
  assembler, which allowed programs to be written
  in brief comments rather than numbers, and for
  inventing IBMs first commercial computer, the
  IBM 701, as well as for arranging the Dartmouth
  Conference. 
• Geoffrey Hinton 
• He is regarded as one of the Godfathers of AI. 
• His contributions, on the other hand, have been
  considerably more recent than John McCarthys,
  but no less significant, since his work on
  artificial neural networks has gained him and his
  colleagues the title of Fathers of Deep
  Learning. 

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• Information about Artificial Intelligence
• In the recent past, AI has been able to
  accomplish this by creating machines and robots
  that are being used in a wide range of fields,
  including healthcare, robotics, marketing,
  business analytics, and many more. However, many
  A.I. Applications are not perceived as AI because
  we often tend to think of artificial intelligence
  as robots doing our daily courses. But the truth
  is that AI has found its way into our daily lives
  as it has become so general that we dont realize
  we use it all the time. For instance, have you
  ever wondered how Google is able to give you such
  accurate search results or how your Facebook or
  Instagram feed always gives you content based on
  your interests? The answer to these questions is
  artificial intelligence. People frequently
  confuse machine learning and deep learning since
  they have similar uses. Siri, for example, is an
  AI-powered machine learning system. AI contains
  certain separate concepts and features exist in
  and of itself.

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• Artificial Intelligence Concepts and Features You
  Should be Aware of ! 
•          
• The amount of information available about
  Artificial Intelligence (AI) might be
  overpowering. If you want to learn more about it,
  youll certainly come across some complex
  terminology that will make you wonder why you
  began studying AI in the first place. 
• However, there are basic concepts and features of
  Artificial Intelligence that you should be
  acquainted with are as follows
• Machine learning (ML) 
• Machine learning allows machines to learn a
  task from expertise without having to be designed
  particularly for that activity. (In a nutshell,
  robots learn without human input!) This procedure
  begins with giving them high-quality data,
  followed by training the machines by developing
  diverse models using various techniques. The
  algorithms we choose are determined by the type
  of work we are attempting to automate. Though,
  Machine Learning Algorithms are broadly
  classified into three types supervised learning
  unsupervised learning, and reinforcement
  learning. 

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•  Deep Learning 
• Learning is a subfield of Deep Learning. It
  facilitates data processing and prediction using
  neural networks. These neural networks are linked
  in a web-like structure, like the networks seen
  in the human brain. Although artificial neural
  networks have a web-like structure, they can
  handle data in a non-linear manner, which gives
  them a major benefit over standard algorithms.
  PageRank, one of the components in the Google
  Search Algorithm, is an example of a deep neural
  network. 
• Reinforcement learning 
• Reinforcement learning is a branch of AI in which
  the computer learns something in a manner like
  how humans learn. Assume that the machine is a
  student, for example. Through trial and error,
  the potential student learns from its own
  mistakes over time. Googles Alpha Go computer
  program, which defeated the world champion in the
  game of Go in 2017, is a well-known example of
  Reinforcement Learning. 
• Robotics 
• Robotics is a field concerned with the
  development of humanoid machines capable of
  mimicking human behavior and performing certain
  human-like behaviors. Robots can now act like
  people in some settings, but can they also think
  like humans? This is where artificial
  intelligence enters the picture! In some
  instances, Al enables machines to respond
  intelligently. For example, Kismet is a social
  interaction robot created at MITs Artificial
  Intelligence Lab. It acknowledges human body
  language and our voices and interacts with humans
  suitably. 

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• Natural Language Processing (NLP) 
• People and robots can speak via voice, but now
  machines can as well! This is known as Natural
  Language Processing, and it involves machines
  analyzing and comprehending language and speech
  as it is said. Language-related NLP subfields
  include voice recognition, natural language
  production, natural language translation, and so
  on. NLP is now in high demand for customer
  support applications, notably chatbots. 
• Alexa from Amazon and Siri from Apple are two of
  the most well-known examples of NLP
  applications. 
• Recommender Systems 
• Do you get recommendations for movies and
  episodes on Netflix based on your previous
  choices or genres you enjoy? This is accomplished
  via Recommender Systems, which gives you
  suggestions on what to pick next from the
  enormous array of options accessible online.
  Content-based Recommendation or even
  Collaborative Filtering can be used to power a
  recommender system. The content of all products
  is analyzed for Content-Based Recommendation. 
• Artificial intelligence has been evaluated by
  both scientists and the public since its
  beginnings. One major theme is the idea that
  machines will evolve so powerfully, that humans
  will be unable to keep up, and that they will
  take off on their own, redesigning themselves at
  an enormous speed. 

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