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“To see what the future might look like it is often helpful to study our history. This is what I will do in this article. I retrace the brief history of computers and artificial intelligence to see what we can expect for the future.”
Copyright: singularityhub.com – “The Brief History of Artificial Intelligence: The World Has Changed Fast – What Might Be Next?”
How Did We Get Here?
How rapidly the world has changed becomes clear by how even quite recent computer technology feels ancient to us today. Mobile phones in the ‘90s were big bricks with tiny green displays. Two decades before that the main storage for computers was punch cards.
In a short period computers evolved so quickly and became such an integral part of our daily lives that it is easy to forget how recent this technology is. The first digital computers were only invented about eight decades ago, as the timeline shows.
Since the early days of this history, some computer scientists have strived to make machines as intelligent as humans. The next timeline shows some of the notable artificial intelligence systems and describes what they were capable of.
The first system I mention is the Theseus. It was built by Claude Shannon in 1950 and was a remote-controlled mouse that was able to find its way out of a labyrinth and could remember its course.1 In seven decades the abilities of artificial intelligence have come a long way.
Language and Image Recognition Capabilities of AI Systems Are Now Comparable to Those of Humans
The language and image recognition capabilities of AI systems have developed very rapidly.
The chart shows how we got here by zooming into the last two decades of AI development. The plotted data stems from a number of tests in which human and AI performance were evaluated in five different domains, from handwriting recognition to language understanding.[…]
Read more: www.singularityhub.com
Der Beitrag The Brief History of Artificial Intelligence: The World Has Changed Fast – What Might Be Next? erschien zuerst auf SwissCognitive, World-Leading AI Network.
Source: SwissCognitive
