Tom Gruber is the co-creator of Siri. The expert is determined to develop a “humanistic AI” that he hopes will be augmenting and collaborating with humans instead of competing with them. In sharing his vision, he outlines that AI will go quite a long way towards helping people globally reach the superhuman performance in creativity, perception and cognitive function.
As a matter of fact, he hopes that the technological advancement will verse humans with outstanding capabilities. They will be able to remember anything that they have ever learnt as well as remember all names to persons they have ever come across.
According to the expert, the world is at the middle of a renaissance in AI. Humans are not being left behind since they are moving along with the machines. As the machines get smarter, humans also grab the opportunity to grow smarter as well.
This new technological change is expected to simplify things in a major way. At the moment, there is someone that says the technology has helped him a establish relationship with genuine human beings.
Cancer is one of the most difficult to treat complications.AI is moving in bringing about remarkable change towards the treatment of cancer. After being diagnosed with cancer, the pathologists use a microscope to scrutinize the various cells. The AI classifier is what distinguishes what is cancer and what isn’t. The classifier performed pretty well, though it wasn’t as good as the person, who as a matter of fact got it right most of the time.
But one crucial matter is that a combination of the machine’s ability and that of the human hit the 99.5% mark. Also, the addition of the AI to the partnership was able to eliminate about 85% of the errors usually associated with the human pathologists when working alone.
It goes without saying that indeed that would turn out to be a lot of cancer that would have gone untreated. One clear thing was that the human was by far much better at turning down the false positives. On the other hand the machine showcased remarkable capabilities in the recognition of those hard-to-spot cases.