Everywhere you look, now there is some form of artificial intelligence appearing. Whether it's to make a process more efficient or whether it's to keep humans safe and away from danger, robots are creeping in at every chance they get, and this is expected to carry on for quite some years to come. Now, a new center has been launched in Cambridge, England that will look to continue the study of AI more closely along with the implications that come with these marvelous machines. The Centre for the Future of Intelligence (CFI) has one aim: "to work together to ensure that we humans make the best of the opportunities of artificial intelligence as it develops over coming decades." It's a collaboration between four top universities which are Cambridge, Oxford, Imperial, and Berkeley, and has the full backing and support of the Leverhulme Trust.
Nick Bostrom, University of Oxford and director of both the Future of Humanity Institute and the Strategic Artificial Intelligence Research Centre "We are only 20 to 50 years away from Machine AI achieving human-level intelligence... and from reaching a human equivalent level of capability, AI is forecast to then see its progress take a rapid upward curve to super- intelligence.
The University of Cambridge professor was an iconic figure in both the scientific community and in popular culture, known for his keen mind and humor, as well as his striking physical challenges. Dr. Hawking had long battled with amyotrophic lateral sclerosis, which left him wheelchair-bound for most of his life. Commonly known as Lou Gehrig's disease or motor neuron disease, the condition damages the nerves that control movement and results in paralysis. Patients with ALS typically die within five years of diagnosis. Dr. Hawking, who was diagnosed in 1963 at the age of 21, is believed to have been the longest-living survivor, a fact that still perplexes neurologists.
From the Darmouth Conferences to Turing's test, prophecies about AI have rarely hit the mark. In 1956, a bunch of the top brains in their field thought they could crack the challenge of artificial intelligence over a single hot New England summer. Almost 60 years later, the world is still waiting. The "spectacularly wrong prediction" of the Dartmouth Summer Research Project on Artificial Intelligence made Stuart Armstrong, research fellow at the Future of Humanity Institute at University of Oxford, start to think about why our predictions about AI are so inaccurate. The Dartmouth Conference had predicted that over two summer months ten of the brightest people of their generation would solve some of the key problems faced by AI developers, such as getting machines to use language, form abstract concepts and even improve themselves.