Question Answering
Dr House goes digital as IBM's Watson diagnoses rare diseases
Doctor House is going electronic. Medics charged with diagnosing the kind of extremely rare diseases that Hugh Laurie's consultant routinely spots in TV drama House have found that artificial intelligence can do a similar job – but in seconds rather than days or weeks. From December, doctors at the University Hospital of Marburg's Centre for Undiagnosed and Rare Diseases (known as ZusE in German) will start using IBM's Watson to speed up their diagnoses. In 2011, Watson famously won the gameshow Jeopardy! Doctors are now training it on peer-reviewed rare disease literature to help them spot unusual illnesses.
It's Elementary, Says (IBM) Watson!
You read that right – it's not Sherlock saying it this time! IBM Watson's cognitive computing capabilities and superhuman intelligence stand it in good stead to switch roles with the legendary fictitious detective Sherlock Holmes who could crack the most mind-boggling of mysteries, find answers to the unanswered questions everyone had and draw insights from information in a way no one could even fathom! For those of you who aren't yet familiar with IBM Watson, it is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data. It has refined cognitive abilities to quickly understand context, learn from experience and draw inferences and insights from a sea of information that would otherwise be humanly impossible to wade through. This is way beyond mere data-matching or search engine functions – Watson uses advanced ways of inferring context, meaning, implications and fallouts of the voluminous content it indexes in its operations.
Helping developers validate skills with first global Watson Certification Program - IBM Watson
In 2014, IBM launched the Watson Developer Cloud, making the power of cognitive computing available to developers across the world through a set of APIs on IBM's BlueMix platform. We've seen volumes of applications built by companies covering everything from personal health and fitness to travel and entertainment to financial services. It was amazing to see these early adopters jump onboard and showcase the power of cognitive computing. We want to make it even easier for developers to learn how to build and deploy cognitive applications – and even more importantly, to distinguish themselves for having developed these critical skills. That's why today, IBM is announcing a new program -- the IBM Watson Application Developer Certification -- designed to help developers all across the world build and validate their skills as well as connect with companies looking to leverage their unique talents. We watch every day as individuals explore and apply Watson in new ways -- from building natural language interfaces in a variety of languages so consumers can get answers faster to helping doctors uncover critical new insights from medical imagery.
Lucidworks integrates IBM Watson to Fusion Enterprise Discovery Platform - SD Times
Enterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights. Today's knowledge workers face an avalanche of data and documents. Lucidworks' Fusion is an application framework for creating powerful enterprise discovery apps that help organizations access all their information to make better, data-driven decisions. Fusion can process massive amounts of structured and multi-structured data in context, including voice, text, numerical, and spatial data. By integrating Watson's ability to read 800 million pages per second, Fusion can deliver insights within seconds.
Watson's the name, data's the game
It's a lightning-fast learner, speaks eight languages and is considered an expert in multiple fields. It's got an exemplary work ethic, is a speed reader and finds insights no one else can. On a personal note, it's a mean chef and even offers good dating advice. Named after IBM's first CEO, Watson was created back in 2007 as part of an effort by IBM Research to develop a question-answering system that could compete on the American quiz show "Jeopardy." Since trouncing its human opponents on the show in 2011, it has expanded considerably.
Watson's the name, data's the game
He's a lightning-fast learner, he speaks eight languages and he's considered an expert in multiple fields. He's got an exemplary work ethic, is a speed reader and finds insights no one else can. On a personal note, he's a mean chef and even offers good dating advice. Named after IBM's first CEO, Watson was born back in 2007 as part of an effort by IBM Research to develop a question-answering system that could compete on the American quiz show "Jeopardy." Since trouncing its human opponents on the show in 2011, it has expanded considerably.
IBM just inked a major deal with an industrial giant to get its technology into more hospitals
IBM just made another major step toward getting its Watson supercomputer into hospitals around the world. Siemens and IBM Watson Health are teaming up in something they're calling a five-year "global strategic alliance" to bring Watson to population health -- a concept that's aimed at improving the health of people in an entire community, not just those in the hospital needing immediate care. The companies did not disclose the financial terms of the partnership. Siemens is a German industrial company which, in addition to a healthcare branch (dubbed Siemens Healthineers), also works in energy and transportation. The partnership basically just gives Watson a chance to reach out to a lot more people who provide healthcare, as according to Siemens, the company is involved in more than 70% of "critical clinical decisions" thanks to Siemens instruments.
How Aussies are evolving IBM's Watson
IBM Australia is looking to maintain its first-mover advantage in the burgeoning enterprise artificial intelligence (AI) space by putting more resources behind its cognitive drive. The vendor has spent 2016 arming its commercial operation with a new team that has the industry domain knowledge to drive Watson harder into specific verticals. Its local Research team has revealed involvement in cutting-edge projects for IBM's nascent Watson Health business, as well as around neuromorphic computing, which is seen as the next evolution of Watson. Since IBM created the US 1 billion ( 1.3 billion) Watson Group in 2014, the vendor has been selling business on the benefits of cognitive computing, while at the same time trying to create as many applications and use cases for the technology as it can. While these efforts were initially internally-driven, the growth of Watson over the past two years has increased the number of people and organisations working with the technology, with a growing amount of this work being done behind the scenes.
Watson's the name, data's the game
He's a lightning-fast learner, he speaks eight languages and he's considered an expert in multiple fields. He's got an exemplary work ethic, is a speed reader and finds insights no one else can. On a personal note, he's a mean chef and even offers good dating advice. Named after IBM's first CEO, Watson was born back in 2007 as part of an effort by IBM Research to develop a question-answering system that could compete on the American quiz show "Jeopardy." Since trouncing its human opponents on the show in 2011, it has expanded considerably.
IBM Watson creates the first AI-made film trailer – and it's incredibly creepy
The film studio 20th Century Fox has called in IBM Watson, the supercomputer, to create the trailer for its upcoming AI horror/thriller, Morgan. IBM Watson has done many things; beat human contestants in quiz shows, created bespoke recipes and described the contents of photos. Now it has become the first-ever AI to produce a film trailer for the new sci-fi film. IBM researchers fed Watson more than 100 horror film trailers cut into separate moments and scenes. It performed a series of visual, sound and composition analyses on each scene to get an idea of how to create the dynamics of a trailer.