By using probability-based algorithms to derive meaning from huge amounts of data, researchers discovered that they didn’t need to teach a computer how to accomplish a task; they could just show it what people did and let the machine figure out how to emulate that behavior under similar circumstances. They used genetic algorithms <http://en.wikipedia.org/wiki/Genetic_algorithm>, which comb through randomly generated chunks of code, skim the highest-performing ones, and splice them together to spawn new code. As the process is repeated, the evolved programs become amazingly effective, often comparable to the output of the most experienced coders.
https://www.wired.com/2010/12/ff_ai_essay_airevolution/ On Wed, Mar 15, 2017 at 4:08 PM, Chris Zell <chrisz...@wetmtv.com> wrote: > > > > > What Quantum Computers do is solve optimization problems based on Big data > that is not organized or sequenced such as... find the cure to cancer from > a million experiments worth of data. > > > > I recall a Japanese study from about 30 years ago that produced dramatic > results in tumors using a seaweed extract. There are surprising results > from dandelion root right now. And Teva stopped making Vermox when it > became clear that it might be a cheap treatment for tumors. I don’t think > quantum computers are the obstacle. >
