Clinc, a four-year-old conversational AI startup, is teaming up with Ford to power voice recognition in the Detroit automaker's cars. The two companies announced the collaboration today during the Detroit Auto Show, at a panel hosted by Inforum about machine learning and the future of in-vehicle technology. According to Clinc CEO Dr. Jason Mars, the Ann Arbor company's automotive platform, which was announced in September 2018, is enabling drivers and passengers to control vehicle systems using natural language in Ford's connected car lab. They can make verbal requests to turn up the air conditioning, adjust cruise control, and check fuel mileage, or ask if there's enough gas for a trip to a specific address. "What we found in our collaboration with Ford is that when you bring in a conversational experience that allows you to talk to your car naturally, it improves the lives of people driving those cars," Mars said.
Daimler's all-new Mercedes A-Class includes the automaker's own machine-learning and voice recognition technology in one of the industry's boldest attempts so far to take on its competitors. The Mercedes "MBUX" dashboard system is capable of understanding what you say, and even more importantly, what you mean, similar to Amazon's Alexa, Apple's Siri or Alphabet's Google Assistant. The vehicle also uses artificial intelligence to make sense of commands and even anticipate them by learning the preferences and habits of up to eight different users. Voice instructions can command everything from navigation to infotainment. One big difference is that unlike its cloud-based rivals that are available only when online, the Mercedes assistant uses embedded software from Nuance Communications to continue functioning when data connections fail.Continue reading for another video, more pictures and information.
The "NariTra" multilingual translation app employs noise-canceling techniques and recognizes a wide range of speech. Offered by the airport at no cost, the app is designed to work hands-free -- and therefore suitable for foreign visitors who have just arrived and who have their hands full with luggage. The tests will see the app deployed on a shuttle bus running between Terminal 1 and Terminal 2, translating Japanese into English, Chinese and Korean, and vice versa. The airport operator plans to roll out the app by the time the 2020 Tokyo Olympic and Paralympic Games take place.
Most humans are pretty good at reading and interpreting text; computers...not so much. Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and you see examples of it in everything from chatbots to the speech-recognition software on your phone. Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. NLP promises to help you improve customer interactions, save cost, and reinvent text-intensive applications like search or product support.