Posts Tagged "watson"
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Ted Talks on IBM Watson & Bayes’ rule in evolution
Some of our most read articles have been on IBM Watson, including suggestions & possible alternatives. We’ve pushed IBM several times to come up with better demos for Watson in a business context. This author went to a demonstration by IBM of Watson in August 2014, an witnessed an overglorified AltaVista demonstrated by an engineer. (AltaVista was the dominant Internet search engine prior to Google. Both Google and AltaVista can handle natural language question-like syntax in search queries, although users tend not to use since it just adds boilerplate text. Similar to AltaVista two decades ago, this Watson demonstration would some respond to questions by coming up with partially-related excerpts from various web pages from a small medical database on the web. It had difficultly understanding many simple questions, and the clips selected weren’t always the most appropriate responses. It didn’t look like this thing was a Jeopardy! champion. As the engineer was told, this is bleeding-edge technology; if you want to sell it to businesses, you need to make the case.… Read the restWolfram mathematica: data visualization example
This is example of visualization using Wolfram Mathematica, a commercial software package. We’ve previously discussed some of Wolfram’s other products and ideas in an earlier post on digital physics and cosmology as well as in our posts on IBM Watson. One of the reasons that data visualization remains something of a black art is that there are so many data visualization packages out there. Each package has its strength in a few kinds of plots or types of visualizations. Some of the better packages are commercial (and, unfortunately, not necessarily inexpensive). The high prices mean the experience of any practitioner is likely to be limited to a few commercial visualization packages over the course of a career (since most sites will only license a few packages). Open source data visualization packages are therefore very powerful, since they potentially combine the best of free tools. There are very good free tools out there.… Read the restWolfram Alpha, von Neumann & digital physics
Continuing our discussion of fractals, digital physics, self-replicating spacecraft, cellular automatons, and von Neumann machines, this is view of a different part of the Mandelbrot Set (produced with a different viewer). Answer to the question at the end of yesterday’s IG photo post involves Stephen Wolfram of Mathematica fame. His company, Wolfram Research, makes the Wolfram Cloud Programming Language, a potential competitor to something IBM Watson-like, which we discussed in an earlier blog post. This language powers Wolfram Alpha, which is currently part of Apple Siri. So, if you’ve used Siri you’ve probably used this software. When not developing technology that became part of Siri, Stephen Wolfram wrote a bestselling (and somewhat controversial) book on Cellular Automatons, A New Type of Science. In one information-centric view of the universe attributed to Wheeler and others (sometimes called “digital physics”) the universe can be thought of as a collection of cellular automatons (or, equivalently, a Turing machine or perhaps a quantum computer).… Read the restopen semantic meaning platforms: alternatives to IBM Watson?
We’ve been a fan of IBM’s Watson semantic meaning analytics system since IBM first announced they were opening up their ecosystem. Around the time of CES we pointed out that the explosion of data from Internet of Things devices meant semantic processing made more sense than just writing more specialized apps. [Update June 2015: Check out our more recent post on Watson, which includes a selection of Ted Talks on Watson. This also talks about Watson’ use of distance matrices in statistical inference, and how this relates to our CEO’s own peer-reviewed academic research in that area. These internal metrics, whether automatically selected or manually defined, are likely to impact all similar systems. It would seem to be key technical factor in the cost and success of any new semantic data implementation.] There’s one small problem with developing IBM Watson cloud apps currently: access to the platform is currently still limited to a few partner companies, and IBM has not yet publicly announced pricing.… Read the restRecent Posts
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