
Streampy
Add a review FollowOverview
-
Founded Date November 27, 1955
-
Sectors Sales
-
Posted Jobs 0
-
Viewed 6
Company Description
What Is Artificial Intelligence (AI)?
The idea of “a device that thinks” go back to ancient Greece. But since the arrival of electronic computing (and relative to some of the subjects talked about in this short article) essential events and milestones in the development of AI include the following:
1950.
Alan Turing releases Computing Machinery and Intelligence. In this paper, Turing-famous for breaking the German ENIGMA code throughout WWII and often described as the “daddy of computer science”- asks the following concern: “Can devices think?”
From there, he offers a test, now famously referred to as the “Turing Test,” where a human interrogator would try to compare a computer system and human text reaction. While this test has actually gone through much scrutiny given that it was released, it stays a fundamental part of the history of AI, and an ongoing principle within approach as it uses concepts around .
1956.
John McCarthy coins the term “artificial intelligence” at the first-ever AI conference at Dartmouth College. (McCarthy went on to invent the Lisp language.) Later that year, Allen Newell, J.C. Shaw and Herbert Simon produce the Logic Theorist, the first-ever running AI computer program.
1967.
Frank Rosenblatt develops the Mark 1 Perceptron, the very first computer system based upon a neural network that “discovered” through experimentation. Just a year later, Marvin Minsky and Seymour Papert release a book titled Perceptrons, which becomes both the landmark deal with neural networks and, at least for a while, an argument against future neural network research initiatives.
1980.
Neural networks, which use a backpropagation algorithm to train itself, became extensively used in AI applications.
1995.
Stuart Russell and Peter Norvig release Artificial Intelligence: A Modern Approach, which turns into one of the leading textbooks in the research study of AI. In it, they explore 4 potential objectives or meanings of AI, which differentiates computer systems based on rationality and thinking versus acting.
1997.
IBM’s Deep Blue beats then world chess champ Garry Kasparov, in a chess match (and rematch).
2004.
John McCarthy writes a paper, What Is Artificial Intelligence?, and proposes an often-cited meaning of AI. By this time, the era of huge data and cloud computing is underway, making it possible for companies to handle ever-larger information estates, which will one day be used to train AI designs.
2011.
IBM Watson ® beats champions Ken Jennings and Brad Rutter at Jeopardy! Also, around this time, data science starts to emerge as a popular discipline.
2015.
Baidu’s Minwa supercomputer uses an unique deep neural network called a convolutional neural network to recognize and classify images with a higher rate of accuracy than the typical human.
2016.
DeepMind’s AlphaGo program, powered by a deep neural network, beats Lee Sodol, the world champ Go player, in a five-game match. The success is significant given the big variety of possible relocations as the game progresses (over 14.5 trillion after simply 4 moves). Later, Google bought DeepMind for a reported USD 400 million.
2022.
A rise in big language designs or LLMs, such as OpenAI’s ChatGPT, creates an enormous change in efficiency of AI and its possible to drive business worth. With these brand-new generative AI practices, deep-learning designs can be pretrained on big quantities of information.
2024.
The current AI trends indicate a continuing AI renaissance. Multimodal designs that can take multiple types of information as input are providing richer, more robust experiences. These models unite computer system vision image acknowledgment and NLP speech recognition capabilities. Smaller designs are also making strides in an age of diminishing returns with massive models with big parameter counts.