Charlie Ortiz, head of Nuance’s Sunnyvale based AI lab, is #15 on CNET’s list of most influentual latinos in the tech industry. He was also featured there last year.
Nuance and DFKI announced an extension of their partnership recently. Among other things Nuance Research now has an office on the DFKI campus in Saarbrücken
Pablo Peso, a PhD student in the DREAMS research programme at Nuance has received the DREAMS Best Paper Award
Notwithstanding the great positive potential for AI, there has recently been a debate in the media and industry, and even in recent movies, regarding the possibility that AI could lead to dangerous super intelligence (SI) – one that might overrun the human race.
In part one of our look at the future of artificial intelligence, expert Charlie Ortiz told us that to envision a future in which machines transcend their programming and become a problem is too negative a view to take, despite such suggestions from high profile figures like Stephen Hawking and Elon Musk.
Science fiction has a habit of portraying the future of Artificial Intelligence as one in which machines break their programming and cause all kinds of trouble. From 2001: A Space Odyssey in 1968 to new movies such as Transcendence and Chappie, the future of AI looks fraught with danger.
A recently released biopic of Alan Turing (“The Imitation Game”) tells the story of the British mathematician and cryptographer who built a machine to crack the German Enigma code during World War II. But Turing is perhaps best known for his pioneering work on artificial intelligence.
There’s a growing school of thought that it might be a good idea to rethink the Turing test as it has traditionally been practiced — that is, by building bots that try to converse with people and pass themselves off as human — and instead focus on something more aligned with actual machine intelligence. One popular alternative is called the Winograd Schema challenge, which replaces conversations with computers with common-sense questions to computers.
A computer still may not be able to pass the test for artificial intelligence as proposed by Alan Turing in the 1950s, but some of the work being done on natural language computing is taking AI in a completely new direction.
There has been renewed interest in Artificial Intelligence (AI) and Natural Language Processing (NLP) as a means of humanising the complex technological landscape that we encounter in our day-to-day lives. This has not escaped the attention of industry analysts: Gartner has recently released its top industry trends, naming the smart machines era as the ‘most disruptive in the history of IT.’
With the initial report that a computer modeled after a 13-year-old boy had passed the Turing Test, followed much skepticism and doubt, Nuance announces a new way to measure Artificial Intelligence with the Winograd Schema Challenge. Providing a more accurate reading of true Artificial Intelligence through sets of multiple-choice questions, the Winograd Schema Challenge will be hosted annually by Nuance and Commonsense.org to push the boundaries of Artificial Intelligence.