IBM will be pitted against the two most successful Jeopardy contestants in a test to see if the computer can search its database and find the correct answer faster, the TV Show announced.
“The iconic game show announced Tuesday that it will pit Ken Jennings and Brad Rutter, its all-time most successful contestants, against “Watson,” an IBM computing system, in a series of battles next year,” CNN reported.
The test of the computer is to understand the answer and find the right question in its database of information. It better be better than Google search results that often does not even list the right answer in the top few results.
“After four years, our scientific team believes that Watson is ready for this challenge based on its ability to rapidly comprehend what the ‘Jeopardy!’ clue is asking, analyze the information it has access to, come up with precise answers, and develop an accurate confidence in its response,” David Ferrucci, the scientist leading the IBM Research team that has created Watson, said in a written release.
They could have just called me – I’m pretty good at Jeopardy.
Related reading
Using Latent Semantic Indexing to boost your SEO strategy
Latent semantic indexing is a concept that search engines use to discover how a term and content work together to mean the same thing. Here's how you can use it to boost your SEO strategy and grow your business.
Optimizing for voice assistants: Why actions speak louder than words
The voice assistants of today are closer than ever to the sci-fi ideal of the all-knowing computer that we've been dreaming about for decades. But the way that users are interacting with them isn't just with voice search - it's with voice commands. How are these different, and what can you do to optimize for them?
Taming the local search beast in a post-Possum and Fred world
Two of Google's recent algorithm updates, Possum and Fred, have had a significant impact on local search for various reasons. How can businesses optimize for local search in the wake of these updates?
What does Google’s “Project Owl” mean for search and fake news?
In May 2017, Google introduced Project Owl as its solution to the problem of fake news. It plans to do this with new feedback forms for search suggestions and the answer box, and authoritative content prioritization in the answer box. But how will this affect the user experience of search?
