He took a Linux repository (all the source files and headers files), combined it into one giant document (it was more than 400 MB of code) and trained the RNN with this code. In 2015, Andrej Karpathy, a former Stanford Computer Science PhD student now Director of AI at Tesla, used Recurrent Neural Networks to generate code. Have a listen to Magenta’s first computer-generated song, composed without any human assistance. The team that created Magenta used TensorFlow, a Google machine learning library. Magenta is a Google Brain project, and its objective is to figure out whether machine learning can be used to create compelling art and music, and how we should go about it. This was a new and important development in breast cancer detection. A neural network was trained to find signs of cancer using tens of thousands of mammographic images of the disease.īut the neural network has learned that it is not so important to look for the tumors themselves, but rather some other modifications of the tissue which aren’t in the immediate vicinity of the tumor cells. In an experiment in 2013, artificial intelligence was was tasked with detecting breast cancer. Lee Sedol won only the fourth game.ĪI has already led to breakthroughs in medical diagnostics. The man and the machine played a five-game tournament in Seoul. In March 2016, AlphaGo-a computer program from Google DeepMind created to play the board game Go-beat Lee Sedol, the World Champion.
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