Monday, December 17, 2018
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Here Are 6 Trends and Takeaway Messages from 2018 AI World

Cold weather this week didn’t matter to the crowds at the AI World conference here, as activity around artificial intelligence continues to heat up....

5 Important AI Predictions For 2019 Everyone Should Read

Artificial Intelligence – specifically machine learning and deep learning – was everywhere in 2018 and don’t expect the hype to die down over the next 12 months. The hype...

Kai-Fu Lee: Closest Parallel to Spread of AI is Dawn of...

By Kai-Fu Lee, CEO, Sinovation Ventures THE TERM ‘ARTIFICIAL INTELLIGENCE” was coined in 1956, at a historic conference at Dartmouth, but it has been only in...

On DL Patents and Legal in AI: Catching Up with Intraspexion...

Former California litigator and now Intraspexion founder and CEO Nick Brestoff has been patenting deep learning software system patents in his company’s pursuit of...

A Pioneering Scientist Explains ‘Deep Learning’

Buzzwords like “deep learning” and “neural networks” are everywhere, but so much of the popular understanding is misguided, says Terrence Sejnowski, a computational neuroscientist at...

DARPA to Grant $2B to AI Projects Over Next Five Years

DARPA stands for “Defense Advanced Research Projects Agency,” but while defense is good and all, what DARPA is really into is that P, for...

Explaining AI: A Quick Guide to Help Understanding

If you keep hearing about artificial intelligence but aren’t quite sure what it means or how it works, you’re not alone. There’s been much confusion among the...

AI Customer Targeting Levels – From Customer Segmentation to Recommendation Systems

Every time you watch a film Netflix has suggested or buy a “similar product” on Amazon, it is a personalized recommendation. Can you make...

Comcast’s Voice Remote Powered by Deep Learning and AI

Comcast's vice president of AI product, Jeanine Heck, spoke with TechRepublic's Tonya Hall about the success of an AI voice remote product, integrated with deep learning....

Here is a Blunt Guide to Mathematically Rigorous Machine Learning

By Harsh Sikka, graduate student at Harvard University studying AI and biocomputation I recently wrote a brief guide on the Math required for Machine Learning.People liked...