Peter Norvig (Google) (May 2017)
Machine learning’s paradigm shift from traditional software development allows computers to learn from data and generate programs, offering unparalleled flexibility and speed in program development. Its applications range from natural language processing to computer vision, and it has the potential to revolutionize industries, but challenges like adversarial attacks and the unpredictable behavior of ML systems remain.