Everyone wants to stay fit and healthy, and AI can help you to do that even better. While IBM Watson supports personalised apps like the Nutrino pregnancy tracker, it can also help doctors in hospitals draw more accurate conclusions. "Doctors have tens of thousands of brain scans from screening people for cancer," explains Auer-Welsbach. "If IBM Watson went through these it could perhaps recognise signs that no one has been able to know before – whether the brain looks slightly different in people who go on to develop Alzheimer's, for example." Read more: Would you trust artificial intelligence with your pregnancy? Auer-Welsbach says that its food production is also shifting to adopt new AI.

Everyone is talking about chatbots these days. Telegram has them, Facebook got them recently, Slack has them and many more want them (for a good reason). It was time to figure out what these chatbots are and how they can help and make life easier. We are at a point where artificial intelligence is a big thing again. Recent movies like "Ex Machina" and "Her" pictured super smart and dangerous AI-driven bots that could easily become a threat to humanity.

Don't worry: IBM's Watson didn't whip up a bunch of needlessly complicated granola recipes for a cookbook that you must make (for science!). No, we're talking about its partnership with Kellogg's subsidiary Bear Naked, which is the first consumer brand to sell Chef Watson-inspired food. The partnership made it possible for Bear Naked to launch a website where granola enthusiasts can make custom blends. After you select a base -- cacao cashew butter, chocolate or honey -- Watson looks through thousands of possible flavors to find ingredients it can suggest. It's a very simple process, and we wish Watson can customize each can of granola even further.

He had just flown into Augusta, Georgia for the Masters. Bad weather caused a pileup of arrivals. The airport ran out of open gates. His flight was stuck on the tarmac. If air traffic controllers had access to Watson, they might have been able to forecast the flight congestion.

AlchemyLanguage is a collection of APIs that offer text analysis through natural language processing. The AlchemyLanguage APIs can analyze text and help you to understand its sentiment, keywords, entities, high-level concepts and more.

Not every startup CEO can say they were able to grow their business to a point where they were acquired. Even fewer can say they did it twice. But that is exactly the case for AlchemyAPI Founder and CEO Elliot Turner. Turner launched his first startup, MimeStar, a software development company focused on network intrusion detection, while a sophomore in high school. Inc. acquired it by the time he was twenty-one. He quickly saw the shift in the market to the need to democratize artificial intelligence (A.I.), and decided to venture out on his own to start AlchemyAPI.

I would like to propose that Watson could solve one of the biggest challenges facing anyone trying to innovate and product their innovation with a US patent - the USPTO first office action. While everyone is working hard and I know the patent office is overloaded, here how three problems I've seen over my years of working that perhaps Watson could address: 1) Speed - it can take 6-12 months to get a first office action 2) Almost any patent application is nowadays first rejected due to obviousness. But the patents cited to create this argument are often taken out of context. To me, these seem like challenges that Watson would be perfectly designed to addressed. And all the literature to be reviewed is, by definition, in the public domain.

This is the direction of the future. Useful AI that can do the research of a thoudand men instantly. It's definitely worth noting that Watson is capable of learning (a point I didn't touch on in this video), so what you see here is the "baby phase" so to speak. I tried to leave out the technical jargon in this video but for those who want to know more, a wiki dump on Watson is below: According to John Rennie, Watson can process 500 gigabytes, the equivalent of a million books, per second. Software Watson uses IBM's DeepQA software and the Apache UIMA (Unstructured Information Management Architecture) framework.

Cleveland Clinic to use IBM Watson for Genomic Research: Researchers at Cleveland Clinic will use IBM Watson technology in the area of genomic research to help oncologists deliver personalized medicine by uncovering new cancer treatment options for patients. The Lerner Research Institute's Genomic Medicine Institute at Cleveland Clinic plans to evaluate Watson's ability to help oncologists develop more personalized care to patients for a variety of cancers. Clinicians lack the tools and time required to bring DNA-based treatment options to their patients and to do so, they must correlate data from genome sequencing to reams of medical journals, new studies and clinical records. At a time when medical information is doubling every five years, a faster option is needed. This use of Watson aims to find the "needle in the haystack" through identifying patterns in genome sequencing and medical data to unlock insights that will help clinicians bring the promise of genomic medicine to their patients.

Watson has it's visualisation tool called WatsonPaths to show how it has derived answers logically. AI needs large amounts of data and Google, Facebook and Amazon are sitting very pretty in this space. IBM will probably be unable to match either of the 3 – but if it becomes an industry expert – it will mint money in the more expensive and much needed business vertical. To be fair, IBM seems to be transparent on this topic. In this case – they're rolling it out for free!!! Well – upto a point IBM Bluemix services helps with development of a rapid prototype solution.