“OK Google, How Do I...?” the Complete Manual
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COMPUTER GURU Google Photos App for Android, Apple, And
COMPUTER GURU By Don Benjamin Technology Lab Programs sponsored by: Novi Wealth Partners Google Photos App for Android, Apple, and Windows Last month I reviewed the Apple Photos app and explained how the photos on iPhones are synchronized with those on iPads and MacBook computers. This month’s article covers Google’s Photos app, which is available for Android and Apple mobile devices, as well as Windows and Apple MacBook computers. In other words—just about everything. Most Android phones include a photo manager called Gallery, where you store and view the pictures you’ve taken with your phone’s camera. 1 However, the Google Photos app (it’s free from the Google Play Store) offers better photo management features as well as free cloud storage to ensure your photos are backed up and available on your other devices (like your tablet and computer.) Google Photos lets you organize your pictures into albums and provides editing and special effect options. It also automatically uploads your photos Google Photos to its cloud server and keeps them synchronized, so if you delete a photo from your phone, it will also delete the photo from your Google Photos cloud file. works with Android But you can also opt to remove a photo from your phone and leave it on the and Apple smart Google Photos server. Neat! phones and tablets, and Windows and Google Photos can also identify objects in your snapshots and create panoramas by knitting the separate pictures of Mac computers. the adjacent scenes you captured. But wait—there’s more! Google provides free unlimited storage on its cloud servers if you’re willing to limit the size of each picture you upload to 16 million pixels (which Google calls “high quality”). -
AGIS SOFTWARE DEVELOPMENT § LLC, § Case No
Case 2:19-cv-00361-JRG Document 1 Filed 11/04/19 Page 1 of 70 PageID #: 1 IN THE UNITED STATES DISTRICT COURT FOR THE EASTERN DISTRICT OF TEXAS MARSHALL DIVISION § AGIS SOFTWARE DEVELOPMENT § LLC, § Case No. § Plaintiff, § JURY TRIAL DEMANDED § v. § § GOOGLE LLC, § § Defendant. § § PLAINTIFF’S ORIGINAL COMPLAINT FOR PATENT INFRINGEMENT Plaintiff, AGIS Software Development LLC (“AGIS Software” or “Plaintiff”) files this original Complaint against Defendant Google LLC (“Defendant” or “Google”) for patent infringement under 35 U.S.C. § 271 and alleges as follows: THE PARTIES 1. Plaintiff AGIS Software is a limited liability company organized and existing under the laws of the State of Texas, and maintains its principal place of business at 100 W. Houston Street, Marshall, Texas 75670. AGIS Software is the owner of all right, title, and interest in and to U.S. Patent Nos. 8,213,970, 9,408,055, 9,445,251, 9,467,838, 9,749,829, and 9,820,123 (the “Patents-in-Suit”). 2. Defendant Google is a Delaware corporation and maintains its principal place of business at 1600 Amphitheatre Parkway, Mountain View, California 94043, and may be served with process via its registered agent, Corporation Service Company at 251 Little Falls Drive, Wilmington, DE 19808. Upon information and belief, Google does business in Texas, directly or through intermediaries, and offers its products and/or services, including those accused herein Case 2:19-cv-00361-JRG Document 1 Filed 11/04/19 Page 2 of 70 PageID #: 2 of infringement, to customers and potential customers located in Texas, including in the judicial Eastern District of Texas. -
13 Cool Things You Can Do with Google Chromecast Chromecast
13 Cool Things You Can Do With Google Chromecast We bet you don't even know half of these Google Chromecast is a popular streaming dongle that makes for an easy and affordable way of throwing content from your smartphone, tablet, or computer to your television wirelessly. There’s so much you can do with it than just streaming Netflix, Hulu, Spotify, HBO and more from your mobile device and computer, to your TV. Our guide on How Does Google Chromecast Work explains more about what the device can do. The seemingly simple, ultraportable plug and play device has a few tricks up its sleeve that aren’t immediately apparent. Here’s a roundup of some of the hidden Chromecast tips and tricks you may not know that can make casting more magical. Chromecast Tips and Tricks You Didn’t Know 1. Enable Guest Mode 2. Make presentations 3. Play plenty of games 4. Cast videos using your voice 5. Stream live feeds from security cameras on your TV 6. Watch Amazon Prime Video on your TV 7. Create a casting queue 8. Cast Plex 9. Plug in your headphones 10. Share VR headset view with others 11. Cast on the go 12. Power on your TV 13. Get free movies and other perks Enable Guest Mode If you have guests over at your home, whether you’re hosting a family reunion, or have a party, you can let them cast their favorite music or TV shows onto your TV, without giving out your WiFi password. To do this, go to the Chromecast settings and enable Guest Mode. -
Senior Google/Chromebook Information
Senior Google/Chromebook Information General Information: 1. Graduating senior Google Accounts will stay active until July 31st of your graduation year. 2. If your parchment account is using your @students.bbchs.org account, please change this immediately. After July 31st you will be unable to reset your parchment account if the password is forgotten. 3. If you want to keep any files or school work follow the instructions on the back of this sheet. 4. If you purchased a Chromebook please follow the instructions to reset your Chromebook to factory to remove any restrictions or managed settings. Once this process is completed, your Chromebook will no longer connect to the BBCHS School Wi-Fi. *This process cannot be completed till the day after you purchase your device. Wipe Chrome device data You can clear all local user data stored on a Chrome device by switching to developer mode and then switching back to normal mode. This is useful if you want to re-enroll a Chrome device after a user signs into it. All account information and data stored on a Chrome device that isn't synced with Google Chrome Sync, such as photos, downloaded files, and saved networks, is deleted during the wipe process. Wipe a Chromebook 1. Press Esc+Refresh+Power. 2. A yellow exclamation point (!) or "Please insert a recovery USB stick" is displayed. 3. Press Ctrl+D to begin Dev mode, then press Enter. 4. Press Space, then press Enter. The Chromebook deletes its local data, returning to its initial state. This can take approximately 40 minutes. -
Semantic Search
Semantic Search Philippe Cudre-Mauroux Definition ter grasp the semantics (i.e., meaning) and the context of the user query and/or Semantic Search regroups a set of of the indexed content in order to re- techniques designed to improve tra- trieve more meaningful results. ditional document or knowledge base Semantic Search techniques can search. Semantic Search aims at better be broadly categorized into two main grasping the context and the semantics groups depending on the target content: of the user query and/or of the indexed • techniques improving the relevance content by leveraging Natural Language of classical search engines where the Processing, Semantic Web and Machine query consists of natural language Learning techniques to retrieve more text (e.g., a list of keywords) and relevant results from a search engine. results are a ranked list of documents (e.g., webpages); • techniques retrieving semi-structured Overview data (e.g., entities or RDF triples) from a knowledge base (e.g., a knowledge graph or an ontology) Semantic Search is an umbrella term re- given a user query formulated either grouping various techniques for retriev- as natural language text or using ing more relevant content from a search a declarative query language like engine. Traditional search techniques fo- SPARQL. cus on ranking documents based on a set of keywords appearing both in the user’s Those two groups are described in query and in the indexed content. Se- more detail in the following section. For mantic Search, instead, attempts to bet- each group, a wide variety of techniques 1 2 Philippe Cudre-Mauroux have been proposed, ranging from Natu- matical tags (such as noun, conjunction ral Language Processing (to better grasp or verb) to individual words. -
SEKI@Home, Or Crowdsourcing an Open Knowledge Graph
SEKI@home, or Crowdsourcing an Open Knowledge Graph Thomas Steiner1? and Stefan Mirea2 1 Universitat Politècnica de Catalunya – Department LSI, Barcelona, Spain [email protected] 2 Computer Science, Jacobs University Bremen, Germany [email protected] Abstract. In May 2012, the Web search engine Google has introduced the so-called Knowledge Graph, a graph that understands real-world en- tities and their relationships to one another. It currently contains more than 500 million objects, as well as more than 3.5 billion facts about and relationships between these different objects. Soon after its announce- ment, people started to ask for a programmatic method to access the data in the Knowledge Graph, however, as of today, Google does not provide one. With SEKI@home, which stands for Search for Embedded Knowledge Items,weproposeabrowserextension-basedapproachtocrowdsource the task of populating a data store to build an Open Knowledge Graph. As people with the extension installed search on Google.com, the ex- tension sends extracted anonymous Knowledge Graph facts from Search Engine Results Pages (SERPs) to a centralized, publicly accessible triple store, and thus over time creates a SPARQL-queryable Open Knowledge Graph. We have implemented and made available a prototype browser extension tailored to the Google Knowledge Graph, however, note that the concept of SEKI@home is generalizable for other knowledge bases. 1Introduction 1.1 The Google Knowledge Graph With the introduction of the Knowledge Graph, the search engine Google has made a significant paradigm shift towards “things, not strings” [7], as a post on the official Google blog states. Entities covered by the Knowledge Graph include landmarks, celebrities, cities, sports teams, buildings, movies, celestial objects, works of art, and more. -
Seo Report for Brands July 2019
VOICE ASSISTANT SEO REPORT FOR BRANDS JULY 2019 GIVING VOICE TO A REVOLUTION Table of Contents About Voicebot About Magic + Co An Introduction to Voice Search Today // 3 Voicebot produces the leading independent Magic + Co. is a next-gen creative services firm research, online publication, newsletter and podcast whose core expertise is in designing, producing, and Consumer Adoption Trends // 10 focused on the voice and AI industries. Thousands executing on conversational strategy, the technology of entrepreneurs, developers, investors, analysts behind it, and associated marketing campaigns. Voice Search Results Analysis // 16 and other industry leaders look to Voicebot each Grading the Experts // 32 week for the latest news, data, analysis and insights Facts defining the trajectory of the next great computing • 25 people, technologists, strategists, and Practical Voice Assistant SEO Strategies // 36 platform. At Voicebot, we give voice to a revolution. creatives with focus on conversational design and technologies. Additional Resources // 39 • 1 Webby Award Nominee and 3 Honorees. • 3 years old and global leader. Methodology • We’ve worked primarily with CPG, but our practice extends into utilities, governments, Consumer survey data was collected online during banking, entertainment, healthcare and is the first week of January 2019 and included 1,038 international in scope. U.S. adults age 18 or older that were representative of U.S. Census demographic averages. Findings were compared to earlier survey data collected in Magic + Co. the first week of September 2018 that included responses from 1,040 U.S. adults. Voice search data results from Amazon Echo Smart Speakers with Alexa, Apple HomePod with Siri, Google Home and a Smartphone with Google Assistant, and Samsung Galaxy S10 with Bixby, were collected in Q2 2019. -
Arxiv:1812.02903V1 [Cs.LG] 7 Dec 2018 Ized Server
APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS Timothy Yang*, Galen Andrew*, Hubert Eichner* Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Franc¸oise Beaufays Google LLC, Mountain View, CA, U.S.A. ftimyang, galenandrew, huberte haicsun, liweithu, kongn, dramage, [email protected] ABSTRACT timely suggestions are necessary in order to maintain rele- vance. On-device inference and training through FL enable Federated learning is a distributed form of machine learn- us to both minimize latency and maximize privacy. ing where both the training data and model training are decen- In this paper, we use FL in a commercial, global-scale tralized. In this paper, we use federated learning in a commer- setting to train and deploy a model to production for infer- cial, global-scale setting to train, evaluate and deploy a model ence – all without access to the underlying user data. Our to improve virtual keyboard search suggestion quality with- use case is search query suggestions [4]: when a user enters out direct access to the underlying user data. We describe our text, Gboard uses a baseline model to determine and possibly observations in federated training, compare metrics to live de- surface search suggestions relevant to the input. For instance, ployments, and present resulting quality increases. In whole, typing “Let’s eat at Charlie’s” may display a web query sug- we demonstrate how federated learning can be applied end- gestion to search for nearby restaurants of that name; other to-end to both improve user experiences and enhance user types of suggestions include GIFs and Stickers. Here, we privacy. -
Knolwedge Acquisi$On from Music Digital Libraries
Knolwedge Acquision from Music Digital Libraries Sergio Oramas, Mohamed Sordo Mo0vaon • Musicological Knowledge is hidden between the lines • Machines don’t know how to read Why Knowledge Acquisi0on? • Obtain knowledge automacally • Make complex ques0ons • Visualize the informaon • Improve navigaon • Share knowledge 4 Musical Libraries Musical Libraries digital recording, scan Musical Libraries OCR, manual transcrip0on digital recording, scan Musical Libraries Informaon Extrac0on, seman0c annotaon OCR, manual transcrip0on digital recording, scan Musical Libraries Informaon Extrac0on, seman0c annotaon Current DL OCR, manual transcrip0on digital recording, scan Musical Libraries Web search Informaon Extrac0on, seman0c annotaon Current DL OCR, manual transcrip0on digital recording, scan Musical Libraries Web search Informaon Extrac0on, seman0c annotaon Current DL OCR, manual transcrip0on digital recording, scan Seman0c Web • The Semanc Web aims at conver0ng the current web, dominated by unstructured and semi-structured documents into a web of linked data. • Achievements useful for Digital Libraries – Common framework for data representaon and interconnec0on (RDF, ontologies) – Seman0c technologies to annotate texts (En0ty Linking) – Language for complex queries (SPARQL) Wikipedia and DBpedia - Digital Encyclopedia - Knowledge Base - Unstructured - Structured - Keyword search - Query search 13 14 15 DBpedia • Dbpedia example queries – Composers born in Vienna in XVIII Century – American jazz musicians that have wri\en songs recorded by RCA -
Google's Knowledge Graph
Google’s Knowledge Graph Google has just announced that it will completely reshape the presentation of its search results. Instead of listing websites where people can find the answer to their queries, it will present data, links, pictures, etc. from its own databases, some 500 million “items”. The redesign is said to represent the biggest change in search for the last five years, not just conceptually but also in terms of business impact. The goal, of course, is to make sure that web surfers remain on Google properties instead of clicking away to another site for answers. Internet companies all over the world already complain and regulators can add the move to their list of Google features to investigate from an antitrust perspective. The announcement is also a subtle tactical move, just one day before Facebook’s IPO. It reinforces Google’s positioning as the owner of the “knowledge network” as opposed to the “social network”. It is hard to anticipate what the new ‘product’ will really be but there are a few important pointers. First, it will make connections between the different information elements. At the moment, search provides a list of sources but does not really categorize them. Knowledge Graph will and may even link the sources to one another. People (not least Tim Berners-Lee) have always argued for the, so called ‘semantic web’ to replace the traditional web. Google’s Knowledge Graph is a fine approximation of the idea. Another aspect of the service will, hopefully, have to do with formatting. We may get a more standardized presentation of the information, which is quite important for rapid processing. -
The Rise of KNOWLEDGE GRAPHS
THOUGHT LEADERSHIP SERIES The Rise of KNOWLEDGE GRAPHS 2019 | MAR THOUGHT LEADERSHIP SERIES | March 2019 2 MAKING NEW CONNECTIONS WITH KNOWLEDGE GRAPHS In today’s business world, time-to-insight and time-to-action are critical competitive differentiators. The demand for quick, easy access to information is growing. However, the challenge of combining data into meaningful information is also mounting—alongside the proliferation of data sources and types. While companies nowadays are investing heavily in initiatives to increase the amount of data at their disposal, most are spending more time finding than analyzing data. Data silos remain a huge problem at many enterprises, and legacy data management technologies and processes are having trouble keeping up with the speed, scalability, and flexibility requirements of new workloads and use cases. Data volumes are exploding in will be driven by specific applications Graph databases, a type of NoSQL organizations and the pressure to exploit and increasing expertise. “NoSQL” data database that employs structures that data for faster time to insight is management approaches, features, and with nodes, edges, and properties to increasing. Along with this store data and places data growth, there is a new a heavy emphasis wave of tools to expand The ability for knowledge graphs to gather on relationships, are what is possible with the growing in use. More proliferation of data and information, relationships, and insights—and recently, the term data types. connect those facts—allows organizations to “knowledge graph” While relational databases in particular has are still both the biggest discern context in data, which is important for gained popularity with source of transactional as well as complying with the introduction of data in most organizations extracting value several high-profile and the greatest source of increasingly stringent data privacy regulations. -
Summarized by © Lakhasly.Com Real-Time Data Feeds Although It
Real-time Data Feeds Although it doesn’t promote itself as such, Google is actually a collection of data and a set of tools for working with it. It has progressed from an index of web pages to a central hub for real-time data feeds on just about anything that can be measured such as weather reports, travel reports, stock market and shares, shopping suggestions, travel suggestions, and several other things. Sorting Tools Big Data analysis which implies utilizing tools intended to deal with and comprehend this massive data becomes an integral factor whenever users carry out a search query. The Google’s algorithms run complex calculations intended to match the questions that user entered with all the available data. It will try to determine whether the user is searching for news, people, facts or statistics, and retrieve the data from the appropriate feed. Knowledge Graph Pages Google Knowledge Graph is a tool or database which collects all the data and facts about people, places and things along with proper differentiation and relationship between them. It is then later used by Google in solving our queries with useful answers. Google knowledge graph is user-centric and it provides them with useful relevant information quickly and easily. Literal & Semantic search The main aim of the literal search engine is to find the root of your search phrase by looking for a match for some of the word or entire phrase. The root of the phrase is then examined and explored upon to display better search results. While semantic search engine tries to understand the context of the phrase by analyzing the terms and language in knowledge graph database to directly answer a question with specific information.