įor Google, machine learning is an essential tool that enables them to close the communications gap that exists between machines and humans. the hair salon), a recurrent neural network (RNN) to process the question and form an answer, and a deep generative and predictive model (WaveNet) to turn text into speech that sounds like a human. Duplex uses Google’s Automatic Speech Recognition technology (ASR) to understand the input (e.g. Google Duplex is enabled by Google’s research in machine learning and deep neural networks, which are found in all stages of the Duplex process. Because of this, many believe that Google Duplex is the technology that comes closest to passing the Turing Test. The best part: the hair salon assistant had absolutely no idea that she was talking to a robot. Even when the hair salon said there were no availabilities at the time requested, the Google Assistant was able to ask further questions to find the next best time for the appointment and complete the booking. Google played a recording of the Google Assistant making a real-life phone call to a hair salon and successfully scheduling an appointment by holding a full 1-minute conversation with the hair salon. At the annual Google I/O Annual Developer Conference, Google blew the audience away by showing off Google Duplex, a machine learning based natural language processing system built into Google Assistant. Many scientists have attempted to develop artificial intelligence systems to pass the Turing Test, but none are widely viewed to have passed the Turing Test.įast forward to May 8, 2018. His method of testing whether or not machines are indistinguishable from humans later became known as the Turing Test. In the same paper, he described guidelines that would later become the golden standard for artificial intelligence development for the years to come. He predicted that by 2000, machines will be able to communicate with humans in such a way that they are indistinguishable from humans 30% of the time. In 1950, a renowned computer scientist Alan Turing proposed the question “Can machines think?” in his paper Computing Machinery and Intelligence.
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