Get started fast with our advanced machine learning models out-of-the-box or customize them for your use case. IBM Watson Speech to Text: IBM Watson® Speech to Text technology enables fast and accurate speech transcription in multiple languages for a variety of use cases, including but not limited to customer self-service, agent assistance, and speech analytics. Get underneath your data using text analytics to extract categories, classification, entities, keywords, sentiment, emotion, relations, and syntax. IBM Watson Natural Language Understanding: IBM Watson® Natural Language Understanding uses deep learning to extract meaning and metadata from unstructured text data. The platform uses innovative, market-leading natural language processing to uncover meaningful business insights from documents, webpages, and big data, which can cut research time by more than 75%. IBM Watson Discovery: Watson Discovery is an award-winning AI-powered intelligent search and text-analytics platform that eliminates data silos and retrieves information buried inside enterprise data. With best-in-class NLU, Watson Assistant understands colloquial speech patterns and surfaces dynamic rich media - video, image, audio - to automate the customer experience while engaging your customers. Still, Venkatakrishnan thinks consumers will be willing to pay more to dry their clothes much faster - and, of course, save money on their electricity bill.IBM Watson Assistant: Watson Assistant converses as naturally as your best support agent. He doesn’t know how much they’ll cost yet, and people might not run out to buy what could be an expensive purchase. But, he says, “I think we are about four years away from being able to buy this dryer at a Home Depot or at Lowe’s or any appliance retailer.” They still have to test this technology on bigger batches of clothes and build a more sophisticated prototype. GE has partnered with Oak Ridge to help put the ultrasonic dryer on the market. “But it is not an idea that everybody thinks of, because there is a lot of science that goes into it.” “It is not very far-fetched, not very difficult to do,” he says. Venkat Venkatakrishnan, director of research and development at GE Appliances, calls the technology a “big breakthrough.” “This dryer technology has the potential to save somewhere 1 percent of the overall energy consumption of the United States,” he says. The fabric sizzles and steams, and in about 20 seconds, it’s dry. He then douses a small piece of fabric in water and places it on top. It’s basically a small circle of metal called a transducer that he plugs into a battery. Momen’s current prototype looks nothing like a conventional dryer. If I wanted to do the same thing with heat, it’s taking somewhere between 20 to 40 minutes.” “In less than 14 seconds, I could dry a piece of fabric from completely being wet. And Momen thought: What if I use the same technology on a piece of wet fabric? Then, one day, he was thinking about ultrasonic humidifiers - a kind of portable room humidifier that uses high-frequency vibrations to turn water into steam without getting hot. He knows it’s an energy hog, and it takes so long to dry anything. Clothes dryers in the United States use about as much energy each year as the entire state of Massachusetts, according to an estimate from EnergyStar, which is part of the reason the Department of Energy is trying to develop more efficient home appliances.Īmong those making significant progress is Ayyoub Momen, a staff scientist at Oak Ridge National Laboratory in Tennessee.
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