We’ve curated some of the big news surrounding structured data for the week to help you stay on top of changes and news:
In an attempt to make web browsers “immediately useful instead of demanding input when you launched them,” Mozilla hopes to enrich every web page with Mozilla-imposed links to content that can be “useful and magical”; that is, content the author of the web page didn’t choose but that Mozilla thinks you’ll like anyway.
Computers are very fast, they’re extremely sophisticated, and they can process data of gargantuan complexity in just a fraction of a second, Humans are very good at other things. They can look at a scene and immediately know what’s going on. They can establish complex relationships. The issue that is now emerging is an issue of communication. So the underlying problem and question is, how do humans, who are extremely powerful and complex, interact with their increasingly complex and capable environments?
Nicolai Helling posted on Google+ a new shopping and maps feature that Google seems to be testing that allows searches to click on a button to search the local stores inventory directly from the map results.
There are some estimates that five percent of all AI talent within the private sector are currently employed by Google. Perhaps no one among that rich talent pool has as deep a set of perspectives as Geoff Hinton. He has been involved in AI research since the early 1970s, which means he got involved before the field was really defined. He also did so before the confluence of talent, capital, bandwidth, and unstructured data in need of structuring came together to put AI at the center of the innovation roadmap in Silicon Valley and beyond.
Like emoticons before them, emojis serve as valuable signifiers of tone and feeling in digital spaces — now, several tech companies are exploring ways not only to make finding emojis easier, but to predict which ones you may want to use.
NTENT, a leading semantic search and natural language processing company announced that it has appointed Dr. Ricardo Baeza-Yates as the company’s Chief Technology Officer (CTO). In this role, Baeza-Yates will play a key role in fortifying NTENT’s innovation leadership in semantic and natural language processing and in shaping NTENT’s technology vision. He will lead the company’s technology evangelism efforts and also work with NTENT’s growing base of global partners to realize desired business outcomes through technology innovation.