At last year's Business Insider IGNITION conference, David Kenny, the general manager of IBM's Watson division, discussed the AI project. According to Kenny, Watson is most advanced in the health field. "The University of Tokyo ran her genetic sequence through Watson," which found a second strain of leukemia, Kenny said. "They then treated her, and now she's healthy." "About one-third of the time, Watson is proposing an additional diagnosis," Kenny said.

In treating brain cancer, time is of the essence. A new study, in which IBM Watson took just 10 minutes to analyze a brain-cancer patient's genome and suggest a treatment plan, demonstrates the potential of artificially intelligent medicine to improve patient care. But although human experts took 160 hours to make a comparable plan, the study's results weren't a total victory of machine over humans. The patient in question was a 76-year-old man who went to his doctor complaining of a headache and difficulty walking. A brain scan revealed a nasty glioblastoma tumor, which surgeons quickly operated on; the man then got three weeks of radiation therapy and started on a long course of chemotherapy.

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IBM is blazing a trail when it comes to how robots interact with humans. The company recently upgraded its Watson AI with a'Tone Analyzer' service that allows it to understand nuance and tone of text. By analyzing word choice, emoji use, and context the AI is learning to understand how we talk to each other. There are thousands of companies doing work in the AI space right now, but most of it happens in the background. It's one thing to teach an AI how to find what you're looking for on the internet, it's more impressive to give AI manners and train it to be a customer service agent.

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We're looking for research scientists who are passionate about developing next generation AI methodologies that will have a profound impact on health and healthcare, and improve people's lives. Our ambitious AI for Healthcare research agenda include deep learning and deep phenotyping integrating multiple aspects of healthcare data, probabilistic temporal modeling of disease and disease progression, causal inference from observational data, structured prediction, federated learning to leverage distributed data sets, integration of medical and health observational data with systems and chemical biology models, knowledge representation and probabilistic reasoning, and affective computing.

IBM said on Thursday it will spend $240 million over the next decade to fund a new artificial intelligence research lab at the Massachusetts Institute of Technology. The resulting MIT–IBM Watson AI Lab will focus on a handful of key AI areas including the development of new "deep learning" algorithms. Deep learning is a subset of AI that aims to bring human-like learning capabilities to computers so they can operate more autonomously. The Cambridge, Mass.-based lab will be led by Dario Gil, vice president of AI for IBM Research and Anantha Chandrakasan, dean of MIT's engineering school. It will draw upon about 100 researchers from IBM (ibm) itself and the university.

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IBM is blazing a trail when it comes to how robots interact with humans. The company recently upgraded its Watson AI with a'Tone Analyzer' service that allows it to understand nuance and tone of text. By analyzing word choice, emoji use, and context the AI is learning to understand how we talk to each other. There are thousands of companies doing work in the AI space right now, but most of it happens in the background. It's one thing to teach an AI how to find what you're looking for on the internet, it's more impressive to give AI manners and train it to be a customer service agent.

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