Samsung Buying Oxford Semantics to Boost AI Personalization

Samsung Electronics has agreed to acquire UK-based Oxford Semantic Technologies, a knowledge graph firm whose tech will help improve Samsung’s AI-equipped smartphones, TVs and home appliances. When combined with Samsung’s own on-device Galaxy AI, Oxford’s tech will allow “hyper-personalized” user experiences that keep data secure, Samsung said, adding that “knowledge graph technology stores information as an interconnected web of related ideas and process data in a manner similar to how humans acquire, remember, recall and reason over knowledge,” offering insight on “how people use a product or service.” Continue reading Samsung Buying Oxford Semantics to Boost AI Personalization

Google Home Is More Likely to Answer Correctly Than Alexa

A study conducted by New York digital ad agency 360i revealed that Google Home is six times likelier than Amazon Alexa to answer user requests correctly. However, consumers are much more likely to purchase the Amazon product than Google’s. Amazon currently dominates with 70 percent of the voice-controlled speaker market, says eMarketer. Amazon released its new Echo Show with interactive touchscreen this week, and according to one reviewer, it’s not much different from Android or Apple voice assistants. Continue reading Google Home Is More Likely to Answer Correctly Than Alexa

Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

AI visionary Andrew Ng — co-creator of the Google Brain research project, former chief scientist at Chinese web giant Baidu, and co-founder of online education platform Coursera — has launched a new AI company called deeplearning.ai. While details are scarce at this point, Ng recently promised “more announcements soon” via tweet. The company’s website simply features the tagline “Explore the frontier of AI,” followed by #deeplearniNgAI and “August 2017,” suggesting more information is coming later this summer. Continue reading Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

Google Open Sources Language Tools for Virtual Assistants

Google is open-sourcing SyntaxNet, a neural network framework that provides a foundation for Natural Language Understanding (NLU), and Parsey McParseface, a computer program that helps machines understand written English. Offering the code for free lets anyone develop, modify and distribute it, furthering natural language and potentially making Google’s code the standard. Earlier, Google open-sourced its machine-learning code TensorFlow (which SyntaxNet runs on top of); other companies that have similarly open-sourced code include Amazon and Facebook.

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Google Hones Mobile Search with More Music, TV, Movie Info

Google already offers information on music, TV and movies, but with a new update, Google search will offer more structure to a broader range of information, including recommendations on songs, TV shows, movies and more. For example, a search for a singer will produce tabs on her songs, albums, upcoming events, and a link to listen to her music on YouTube, Spotify, Google Play Music and iHeartRadio. The update is now available to mobile users on Android phones and tablets, and will be available for iOS soon. Continue reading Google Hones Mobile Search with More Music, TV, Movie Info

Rovi Tech Personalizes Cable Guide with Recommendations

California-based Rovi is developing technology that will turn cable TV guides from endless grids to a more-personalized recommendation service. Its version of the TV guide tracks viewer habits to make recommendations based on what the viewer has watched before, at what time, and even in what room. It searches through the live line-up, on-demand content, and Netflix to make recommendations. Users can also search for movies and shows using voice commands. Continue reading Rovi Tech Personalizes Cable Guide with Recommendations

Google Updates Search Engine to Handle Greater Complexity

Google announced that it is changing its search engine to handle more complex queries. This change has required one of the greatest modifications to the company’s search algorithm since 2000. Google will now focus on comprehending the meanings of searches as well as the relationships of words, as opposed to simply matching keywords. One reason for the change relates to the fact that users are asking longer and more complex questions. Continue reading Google Updates Search Engine to Handle Greater Complexity

Google Trends Adds Charts Feature for Tracking Searches

Google has announced a new data tracking service for Google Trends that offers information and related charts regarding the most-searched people, locations and assorted topics across more than 40 categories. The Top Charts feature provides those interested with details based on rankings by search interest for topics from movies to cities to sports teams to tourist attractions. The service is updated monthly and goes back to 2004. Continue reading Google Trends Adds Charts Feature for Tracking Searches

Trends in Mobile Are Changing the Online Search Model

Google still remains in firm control of the online search market, with roughly two-thirds of the market in its grasp. But as mobile devices grow in number, the way people are searching for information and services is changing. This puts the $22 billion online search industry at a crossroads, as it tries to figure out how mobile and online search can work together — and for a profit. Continue reading Trends in Mobile Are Changing the Online Search Model