In earlier updates I emphasized how I believe that true artificial intelligence will come from an accumulation of various targeted self-learning algorithms that go after specific areas. I said that that such algorithms may already exist for the stock market, but these algorithms are not viewable because people or companies are using them to make money in the market, and they are aware that the disclosure of these algorithms may make them useless or cause laws to be passed against their usage.
In my last blog I went into some detail on how Tesla’s AutoPilot is a self-learning system, and how similar systems are likely to grow into true autonomous cars.
Another area I have noted as being ripe for AI is medical. In a 10/15/2015 article in ScienceDaily (http://www.sciencedaily.com/releases/2015/10/151007084259.htm), they discuss “a new diagnostic technology based on advanced self-learning computer algorithms which — on the basis of a biopsy from a metastasis — can with 85 per cent certainty identify the source of the disease and thus target treatment and, ultimately, improve the prognosis for the patient… The newly developed method, which researchers are calling TumorTracer, are based on analyses of DNA mutations in cancer tissue samples from patients with metastasized cancer, i.e. cancer which has spread.”
Even more exciting is that “Researchers expect that, in the long term, the method can also be used to identify the source of free cancer cells from a blood sample, and thus also as an effective and easy way of monitoring people who are at risk of developing cancer.”
AI is coming!