![]() ![]() This computer was 70% better at recognizing objects than any prior computer. The Google computer that did well learning to recognize cats had a billion connections. The computers being used for this research are already getting impressive. This process is repeated until the computer is able to recognize complex sounds. Several first-layer inputs are fed to the second layer of neurons which can then recognize more complex patterns. The first layer learns the basic concept, like recognizing somebody speaking the letter S. This is done today by enabling multiple levels of ‘neurons’. Probably the most interesting current research is in teaching computers to learn on their own. IBM has also started selling time on the machine to anybody and there is no telling all of the ways it is now being used. Watson is currently being groomed to help doctors make diagnoses, particularly in the third world where there is a huge lack of doctors. There are some deep learning techniques in IBM’s Watson computer that beat the best champs in Jeopardy. ![]() Their computer did twice as good as any previous test, which was particularly impressive since the Google team had not pre-defined what a cat was to the computer ahead of time. One of the best known demonstrations was done last summer by Google who had their computer look at over 10 million YouTube videos and asked it to identify cats. In September Google announced that it had the best results on this test and just this month Microsoft said their computers beat not only Google, but did better than what people can do on the test.Īll of the companies involved readily admit that their results are still far below what a human can do naturally in the real world, but they have made huge strides. The various teams are trying to get a computer to identify various objects in a defined data set of millions of pictures. The current public race deals with pattern recognition. It’s definitely a race, because breakthroughs are always compared to the other competitors. Microsoft and Google have gone back and forth with public announcements of breakthroughs, while other companies like Facebook and China’s Baidu are keeping their results quieter. The race is between a few firms that are working to be the best in the field. The field has been around for decades, with limited success, and has needed faster computers to make any real headway. But there is one big race going on now that it’s likely you never heard of, which is the race to develop deep learning.ĭeep learning is a specialized field of Artificial Intelligence research that looks to teach computers to learn by structuring them to mimic the neurons in the neocortex, that portion of our brain that does all of the thinking. There is something about seeing somebody strive to win that gets our blood stirring. ![]()
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