“The basic premise of Artificial Intelligence (A.I.) was originally that human intelligence is predictable enough that it can be simulated with computers. As such, A.I. is a broad field involving many areas of research. This includes computer vision, language recognition, decision-making.
In more recent years, A.I. has also acquired other challenges including machine learning/ deep learning, as well as robotics as a whole. In fact, if you were to ask the average person what they thought of when someone mentions “artificial intelligence,” it’s likely they would say “robots” — thanks to pop culture: TV shows, movies, comics, books and toys.”
“At publishing time, 85 percent of respondents preferred that AI be able to detect and react to human emotions; 75 percent preferred a humanlike AI as opposed to one that was robotic, and 44 percent preferred a gender neutral interface, rather than one that was deliberately styled male or female.” Read full article
“New forms of NLP focus on ‘product awareness’ — identifying the primary product being sought and intelligently discarding (or de-prioritizing) search results that may contain the words ‘white’ or ‘flared,’ but may not be a dress — white flared pants, for example. NLP understands that “dress” is the primary item being searched for, and if something is not a dress, that is a deal-breaker — no matter how many matching qualifiers there may be.” Read full article
“David Marcus, Vice President of Messaging Products at Facebook, revealed that there are now 11,000 chatbots on Facebook reaching almost a billion users. Facebook M, the company’s text-based virtual assistant feature, has been modified to make the AI better.
‘M will make automated suggestions based on chat intent,’ he wrote last month. ‘These suggestions will help you get more from your Messenger experience by shortening the distance between what you need to do and getting it done.’”
“According to a March 2017 survey of internet users worldwide conducted by Qualtricsfor Rocket Fuel, 50% or more of respondents from the Gen X, millennial and Gen Z age segments said they value AI for recommending various products and services.” Read full post