Singularity guru Ray Kurzweil has announced he will start to work for Google on December 17, 2012.
Now that Kurzweil has some serious cash to back his and Google’s ideas on the Singularity, it remains to be seen if this is a catalyst in exponential or Accelerating Intelligence as Kurzweil frames the idea.
It also appears that Google is mounting a competitive challenge to other interests as Microsoft and Apple et al.
As seen here no entity or person ha recognized the challenge of the undermining of technology by the Chemical Assault – Scorched Earth Program known as MOEC.
Since Kurzweil has Singularity University and Google is located in California this challenge to the sanitization has to be met for Singularity to be a legitimate study and business platform.
Bhakta David Nollmeyer
Ray Kurzweil confirmed today that he will be joining Google to work on new projects involving machine learning and language processing.
“I’m excited to share that I’ll be joining Google as Director of Engineering this Monday, December 17,” said Kurzweil.
“I’ve been interested in technology, and machine learning in particular, for a long time: when I was 14, I designed software that wrote original music, and later went on to invent the first print-to-speech reading machine for the blind, among other inventions. I’ve always worked to create practical systems that will make a difference in people’s lives, which is what excites me as an inventor.
“In 1999, I said that in about a decade we would see technologies such as self-driving cars and mobile phones that could answer your questions, and people criticized these predictions as unrealistic. Fast forward a decade — Google has demonstrated self-driving cars, and people are indeed asking questions of their Android phones. It’s easy to shrug our collective shoulders as if these technologies have always been around, but we’re really on a remarkable trajectory of quickening innovation, and Google is at the forefront of much of this development.
“I’m thrilled to be teaming up with Google to work on some of the hardest problems in computer science so we can turn the next decade’s ‘unrealistic’ visions into reality.”