IBM's Watson question answering supercomptuer is an impressive bit of kit. The machine has competed very well against humans in many areas, including on the game show Jeopardy. IBM has announced a new API that makes the Watson question answering machine available as a service.
I've always thought that the IBM Watson supercomputer was a very cool device indeed. In fact, I thought Watson was such an interesting machine that I even watched the episodes of Jeopardy where Watson was a contestant. I think it's the only time I ever watched Jeopardy.
IBM has competed in contests against human players with supercomputers like Watson before. IBM has announced that its Watson computer will compete against two of the all time great champions in Jeopardy. The two humans that Watson will play include Ken Jennings and Brad Rutter.
IBM envisions the future of medicine where vast networks of medical information are securely stored in a cloud network. IBM plans to use its AI supercomputer, Watson, to analyze the data and a make new record keeping system that could be used by all health care systems. IBM has reportedly developed a new department at its headquarters dedicated to developing Watson for the medical field. Furthermore, IBM recently acquired the medical analytics company Explorys, which has access to 50 million medical records in the U.S., and Phytel which gives feedback to doctors and patients about after-care.
IBM's Watson supercomputer may not be the first pseudo-teacher you'd think to leave with your child, but startup Elemental Path thinks wrapping the cognitive computer in a cute dinosaur casing might change that. CogniToys - currently a cute green dino, but with other shapes and species expected to follow - pair Watson's ability to learn, remember, and adapt with a speech recognition engine, so that - so the theory goes - as kids play the dinosaur can quietly broaden their learning while personalizing it to keep them engaged.
IBM’s Watson knows quite a bit — enough to compete on Jeopardy. A brilliant database of info, Watson isn’t so great at other languages. To help with learning Japanese, IBM has enlisted the help of SoftBank to train Watson in Japanese. The aim of this partnership is to bring Watson to a new enterprise space; beyond that, IBM and SoftBank either don’t specifically know what they will do with Watson, or just aren’t saying. What they do know is that Watson needs to learn the native tongue before anything else.
IBM is throwing open the cognitive computing power of Watson to mobile developers, setting up a new challenge to create apps that take advantage of the supercomputer's natural language processing, machine-learning, and ability to process huge qualities of data in seconds. The IBM Watson Mobile Developer Challenge, which will be accepting entries over the next three months, is looking for the best consumer and enterprise applications for the supercomputer that beat Jeopardy, as it tries to encourage adoption of its APIs.
IBM's Watson supercomputer has been tasked with profiling users from one side of the Internet to the other, using information it gathers from social media accounts to learn about individuals. This information can then be used by service providers and similar to best reach out to customers and potential customers, and could also be used by advertisers.
IBM's infamous Watson supercomputer is making its way to the classroom after appearing on Jeopardy! a while back. IBM announced today that they'll be building another Watson supercomputer and will be giving it to the Rensselaer Polytechnic Institute to be the first university to receive a Watson supercomputer. Other universities are planned to get one in the future.
This week IBM's Watson has been going up against Jeopardy champs in the Jeopardy challenge. Now, IBM has announced that it will collaborate with Nuance to apply Watson's advanced analytics to the healthcare industry. The initiative will combine IBM's Deep Question Answering (QA), Natural Language Processing, and Machine Learning capabilities with Nuance's speech recognition technology and Clinical Language Understanding solutions. They hope to assist doctors in making patient diagnoses, by helping them to process large amounts of information more quickly.