Computers could only execute commands that were entered but could not store them for later use. With the help of artificial intelligence and machine learning, this would soon change. Artificial Intelligence flourished between 1957 and 1974. It was during this point in time that machine learning algorithms also improved.
Allen Newell, Cliff Shaw, and Herbert Simon wrote a program designed to mimic the problem-solving skills of a human and was funded by Research and Development (RAND) Corporation called "Logic Theorist" Too many, this is considered the first artificial intelligence program.
"The government was particularly interested in a machine that could transcribe and translate spoken language as well as high throughput data processing. Optimism was high and expectations were even higher. In 1970 Marvin Minsky told Life Magazine, “from three to eight years we will have a machine with the general intelligence of an average human being.”
This quote was taken straight from the Harvard article this post is getting most of its information from.
There was a great push for Artificial Intelligence and Machine Learning with the possibilities of what can be done in the '70s but the only thing stopping the progression was that computers were not adept for the kind of computation that was needed. In short, computers could not handle artificial intelligence....yet.
When the 1980s came around, the expansion of the algorithmic toolkit and a boost of funds reignited the implementation and use of artificial intelligence. John Hopfield and David Rumelhart popularized Deep Learning techniques which allowed computers to learn using experience. " On the other hand, Edward Feigenbaum introduced expert systems which mimicked the decision-making process of a human expert. The program would ask an expert in a field how to respond in a given situation, and once this was learned for virtually every situation, non-experts could receive advice from that program. Expert systems were widely used in industries."
http://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/
Information on this blog post was gathered from the website above. Thank you.
This quote was taken straight from the Harvard article this post is getting most of its information from.
There was a great push for Artificial Intelligence and Machine Learning with the possibilities of what can be done in the '70s but the only thing stopping the progression was that computers were not adept for the kind of computation that was needed. In short, computers could not handle artificial intelligence....yet.
https://image.slidesharecdn.com/neuralnetworkfinale-170924112506/95/neural-network-intro-79-638.jpg?cb=1506262455
Artificial intelligence thrived in the absence of government funding and public hype. Throughout the 1990s and 2000s, many landmark goals of artificial intelligence had been achieved. In 1997, Gary Kasparov, world chess champion, was defeated by IBM's Deep Blue, a chess-playing computer program. Later that year, speech recognition software developed by dragon systems was implemented on Windows.
https://media.pri.org/s3fs-public/styles/story_main/public/story/images/DeepBlue.png?itok=N01yMnCK
Since then artificial intelligence has been exponentially expanding since computers are getting exponentially faster and better equipped to take on tasks. Now artificial intelligence is everywhere. In the era of big data, artificial intelligence, machine learning, and deep learning can be found in banking, movie theaters, and even your very smartphone you have in your hand or pocket right now.
https://cdn-images-1.medium.com/max/1200/1*PlOTeS5syDCWSrYDUb7J7w.jpeg
http://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/
Information on this blog post was gathered from the website above. Thank you.
Awesome!
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