But new UC Berkeley research suggests that Siri and other digital helpers could someday learn the algorithms that humans have used for centuries to create and understand metaphorical language. Mapping 1,100 years of metaphoric English language, researchers at UC Berkeley and Lehigh University in Pennsylvania have detected patterns in how English speakers have added figurative word meanings to their vocabulary. The results, published in the journal Cognitive Psychology, demonstrate how throughout history humans have used language that originally described palpable experiences such as "grasping an object" to describe more intangible concepts such as "grasping an idea." "The use of concrete language to talk about abstract ideas may unlock mysteries about how we are able to communicate and conceptualize things we can never see or touch," said study senior author Mahesh Srinivasan, an assistant professor of psychology at UC Berkeley. "Our results may also pave the way for future advances in artificial intelligence."

It's been discovered that Google is developing new features for its Chrome OS-powered Chromebooks. The biggest feature that's said to be in-development is the integration of Google Assistant. The new new alleged features for Chrome OS was first discovered by the site Chrome Unboxed. It first began when the news outlet discovered back in October that Google may be working on a new Chromebook model codenamed "Eve." With Chrome Unbox's latest report, it claims to have discovered even more new features for this Eve Chromebook.

Why this UCLA professor thinks she inspired the video game'Halo' UCLA associate professor Patricia Dickson was at her office complex on June 6, 2017. UCLA associate professor Patricia Dickson was at her office complex on June 6, 2017. A brief friendship that began with an online chat and an awkward date may have inspired one of the world's best-selling video games. For two decades, UCLA associate professor of pediatrics Patricia Dickson remembered nothing of her college flirtation with Jason Jones, who went on to create the sci-fi shooter "Halo."

Artificial Intelligence gets a bad rap in pop culture. Movies like Terminator (with its rebellious Skynet) and 2001 (with its murderous HAL 9000) portray a future where the robots get smart, and conclude that it is in their interests to destroy mankind. But the truth about AI is a lot more mundane. Most of us use AI every day when we talk and interact with Siri or Google on our phones, and AI is why Netflix knows what movies you'll like and what other products you'll want to buy on Amazon. AI is poised to become a big deal in banking.

Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user. Towards this goal, energy-based sequence generative adversarial nets (EB-SeqGANs) are adopted for recommendation by learning a generative model for the time series of user-preferred items. By recasting the energy function as the feature function, the proposed EB-SeqGANs is interpreted as an instance of maximum-entropy imitation learning.

In the first part of this series, I introduced the Outbrain Click Prediction machine learning competition. That post described some preliminary and important data science tasks like exploratory data analysis and feature engineering performed for the competition, using a Spark cluster deployed on Google Dataproc. In this post, I describe the competition evaluation, the design of my cross-validation strategy and my baseline models using statistics and trees ensembles. In that competition, Kagglers were required to rank recommended ads by decreasing predicted likelihood of being clicked. Sponsored search advertising, contextual advertising, display advertising and real-time bidding auctions have all relied heavily on the ability of learned models to predict ad click–through rates (CTRs) accurately, quickly and reliably.

The dating app Hinge has just added a video option to its users' profiles. Now, any of a user's six profile photos can be swapped for a video that will autoplay whenever someone scrolls through their profile. The videos can be uploaded from Instagram, Facebook or a phone's camera roll. Hinge isn't the first dating app to start working on a video feature. Bumble announced earlier this year that it would be adding Snapchat-like video stories that disappear after 24 hours and Match is also developing a video option that allows for stitched-together videos, photos and voiceover.

Car owners form special relationships with their vehicles -- they give them names, customize them and get to know their intricacies and quirks. But what if the car could do the same for the driver? That's what Yui is for. Yui is Toyota's artificially intelligent assistant -- sort of like Toyota's version of Alexa or Siri, but wired into a car. It measures emotional responses to routes and even suggests where to go or what to do once you get into the car. "A demo video of Yui from Toyota envisions a man forming a 20-year bond with his own Yui assistant, with the AI knowing about his family, interests and personality very deeply," reports TechCrunch.

Apple's Siri virtual assistant can be used for a variety of tasks on the iPhone and iPad. And soon, the program will be getting some help from its own editor. The company is hiring a Siri "event maven" to join the virtual assistant's team. Apple's job listing says the event maven will help to "provide strategic awareness of cultural happenings in the collective zeitgeist." As an example, Apple mentions themed pop culture holidays like Star Wars Day or Pi Day as events it wants the event maven to bring to Siri's attention. The maven will also help to ensure Siri has coverage and knowledge of general pop culture and trending events.

During a recent visit to Los Angeles, California, I happened to stay at Residence Inn Marriott at LAX. Unable to sustain my hunger pangs in the middle of the night, I ordered some food. And I had the best, and the most surprising experience!. The food arrived quickly and was not carried by a server, but a robot – Wally! Wally is a 3 feet tall robot that moves on wheels, can be programmed for the room number and delivers to the room.