Intelligent Technology
Remember when you could type metadata into a search field and not get results that included NSA? Linux Gizmos brought this information to our […]
Every year at the Gartner Symposium, a list of top technology trends are predicted for the year to come. These aren’t meant to be […]
Twitter is making artificial intelligence efforts a priority. They are seeking experts to fill out a new team called ‘Cortex.’ Business Insider brought this […]
A couple weeks ago, Google changed its algorithm to give preference to 'mobile-friendly' sites when users perform a search on a mobile device. The change was coined as 'Mobilegeddon' because of the potential to bury websites that haven't been optimized to display correctly on various sizes of mobile devices, while also boosting the ranking of mobile-friendly sites.
Google has started on an adventure that could change health care and medicine as well as add a whole new avenue of work. Google’s Head of Life Sciences, Andrew Conrad, recently announced that the company is building a nanoparticle platform that could one day be used to continuously measure a person’s health through ingestible nanoparticles.
It is like half of an encyclopedia. If more people, businesses, writers, users, etc. are posting content to social media platforms like Facebook, Twitter, Instagram, etc., why isn’t Google indexing this information?
It is a bird, it is a plane, no wait, it is a bird. A hummingbird to be exact. Google has released a new search algorithm designed to be more precise and provide faster query results, the algorithm is based on semantic search, focusing on user intent versus individual search terms.
A recent study by Stone Temple Consulting on whether or not Google + shares alone can affect search engine rank. This seems a little precise for a study, but they took three websites and had two unique pages of applicable content published on each. One was a control page and one was a test page. Next , they had Google+ influencers share the page, as well as a handful of other participants who were instructed to only share the page, not visit or link to it in any other way.
Google has awarded over $1.2 million to support research in several areas of several natural language understanding that relate to Google's concept of the Knowledge Graph. This substantial investment in machine learning is motivated by their need to further search technology.