Prediction of the development of startups in the field of machine learning and artificial intelligence

Robot's> RobotNet: Although Tesla's recent accidental driverless car has caused people to question the technology, it is still the direction of development for many technology giants. It can be said that artificial intelligence and machine learning have escaped from the conceptual settings in the original movie, from wearable instruments that monitor health data, to intelligent robots, which all truly occur in the real world.

The greatest controversy in the development of machines may lie in the substitution of a large number of labor forces and the discussion of moral aspects. Elad Gil, the director of strategy for Twitter and a well-known investor, wrote in this article his predicted areas of possible development around machine learning and artificial intelligence, as well as the impact and impact of the real AI era on society.

In the foreseeable future, artificial intelligence technology will exert its immeasurable influence in many commercial fields. In the next 10-20 years, machine learning may gradually replace the work of white-collar workers and blue-collar workers, and eventually lead to large-scale turmoil across the society.

At present, most of the mainstream reports are still discussing the general use of artificial intelligence (that is, the so-called AGI strong artificial intelligence, which refers to artificial intelligence that can fully compete with human brain work), but few people pay attention to the last five years. The specific vertical market where artificial intelligence and machine learning are most likely to change.

To put it simply, I think we have more than a decade of experience to reach a truly strong artificial intelligence level, but vertical products driven by artificial intelligence will bring about a tremendous change in recent years.

Listed below are the areas where entrepreneurs and investors are underestimating. In these unoptimized areas, I believe that a large number of large AI companies will soon grow.

In all areas of machine learning development (Of course, once we reach true strong artificial intelligence, the world will develop rapidly, but that is still a long time to come true, and the specific timetable is just pure speculation. ), a startup company wants to succeed, there are two key points:

Build the ability to train a useful database of models, and have a simulated environment for recursive testing and closed-loop feedback on the model;