Weekly Wireless Report July 14, 2017
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Keyword Based Speech Recognition Technique Using Python for C
Science, Technology and Development ISSN : 0950-0707 Keyword Based Speech Recognition Technique Using Python for C# Somnath Hase Dr. Sunil Nimbhore Department of CS Department of CS & IT Smt. S. K. Gandhi Arts, Amolak Science & Dr.Babasaheb Ambedkar Marathwada P. H. Gandhi Commerce College, Kada, University, Aurangabad, (MS), India. (MS), India. Abstract: awareand lacking what RSI is or how The Programming Language is serious it can be. text-oriented to develop software, with a Braille, gives the idea that no keyboard for input and as of typing development has empowered visually program source code.This content- impaired and outwardly disabled arranged nature of programming dialects individuals for contributing assistive is a barrier to people experiencing arms innovations that have madeComputers handicap. A person with sound and the Internet accessible. In a knowledge, splendid brain, and potential programming language, a visually for programming aptitudes also impaired programmer takes more time to experiences arm wounds or being fragile find syntactic errors than a sighted couldn't turn into a good software programmer. Novice programmer takes engineer. In case, if theprogrammer more time as it has to learn syntax as memorizes the syntax and keywords of well as programming skills the programming language then he will simultaneously.The text editor is an good programmer. Inthe essential instrument for writing computer proposedresearch programmer will speak programs. The text Editors are in English like a statement and code in manipulated entirely via keyboard and C# language will be written accordingly. mouse. Nowadays most peopleuse Keyword: Integrated Development Environment Text to Speech, SAPI,ASR, RSI,C# (IDE) that enables not only writing code but help to compile and debug a Introduction program.This is usually for any The software development programming language. -
Article Intelligent Personal Assistants and the Intercultural Negotiations Of
! ! Intelligent Personal Assistants and the Article Intercultural Negotiations of Dataveillance in Platformed Households Jason Pridmore Michael Zimmer ! ! "#$%&'%!()*+,#%*-./!01,!2,-1,#3$)4%! ! ! ! ()*+,#%*-.!56!7*%85)%*)/!(9:! ;#*4&5#,<,%188=,'#=)3! !!! ! ! ! >*&&,#&<'?&=,4'!! Jessica Vitak Anouk Mols ! ! ! ()*+,#%*-.!56!@$#.3$)4/!(9:!! ! ! ! "#$%&'%!()*+,#%*-./!01,!2,-1,#3$)4%!!! ! A+*-$B<'&4=,4'!!! ! ! ! ! ! &53%<,%188=,'#=)3!! Daniel Trottier Priya C. Kumar ! ! "#$%&'%!()*+,#%*-./!01,!2,-1,#3$)4%! ! ! ! ()*+,#%*-.!56!@$#.3$)4/!(9:! -#5--*,#<,%188=,'#=)3!!! ! ! ! ! ;B'&$#CD<'&4=,4'! Yuting Liao ! ! ()*+,#%*-.!56!@$#.3$)4/!(9:!! ! ! ! .3*$5EFG<'&4=,4'!!!! ! ! ! ! ! ! ! Abstract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
Usefulness of Artificial Intelligence-Based Virtual
ORIGINAL RESEARCH Usefulness of Artificial Intelligence-based Virtual Assistants in Oral and Maxillofacial Radiology Report Writing Kavya S Muttanahally1, Rutvi Vyas2, Jyoti Mago3, Aditya Tadinada4 ABSTRACT Aim and objective: This study aimed to evaluate the usefulness of four voice-based virtual assistants in oral and maxillofacial radiology report writing. Materials and methods: A questionnaire consisting of 100 questions was queried to 4 commercially available voice-based virtual assistants namely Alexa, Siri, Cortana, and Google Assistant. The questions were divided based on five categories. The categorization was based on the frequency and reason for a radiologist to refer to either a textbook or an online resource before diagnosing and finalizing a radiology report. Two evaluators queried the devices and rated them on a 4-point modified Likert scale. Results: In the order of efficiency, Google Assistant was the most efficient followed by Cortana, Siri, and Alexa. A significant difference between the examiners was observed with Cortana in anatomy, dental anatomy, differential diagnosis, and pathology. Conclusion: In this small study that queried only four voice-powered virtual assistants, it showed that they were helpful and convenient in responding to questions regarding oral and maxillofacial radiology. But there is significant scope for expansion in the number of topics and type of information delivered before these can be used specifically in oral and maxillofacial radiology report writing. Clinical significance: Oral radiologists often gather additional and updated information regarding various topics like disease-specific features, genetic mutations, and differential diagnoses which they typically get from a textbook or a website. Artificial intelligence-based virtual assistants offer radiologists a simple voice-activated interface to gather this information and can immensely help when additional information is required. -
Virtual Voice Assistants Win Shih and Erin Rivero Table 4.1 Platform and UI Shifts
Chapter 4 Future Actions Win Shih Search is moving from a place of answers to a state of serving their customers in this transformation, iden- action. tifying a new service model centered on these new —Microsoft Voice Report 1 technologies. he AI-driven voice technology is described as a major disruptive technology trend.2 In this chap- Platform Shift Tter, we first review the future trends of voice technology and conversation AI. We then offer guid- Our relationship with computers and technology has ance and suggestions for preparing such changes at been evolving over time. Based on the way we interact the organizational and leadership level. with technology, Kinsella identified three technology platform and user interface shifts since the advent of the World Wide Web more than twenty-five years ago Looking Forward (see table 4.1).5 Websites and hyperlinks are the first generation of technology platforms and user inter- After a decade of development, conversational AI and faces that we use to interact with digital content and voice technology have progressed beyond the early services. The introduction of mobile devices and apps infancy stage and moved into a phase of mass adop- in the late 2000s expanded the apparatus for us to tion. According to Gartner’s Hype Cycle, which charts engage with the digital world. Conversational AI and the maturity, adoption, and business applications and voice technology elevate us to a new experiential level values of emerging technologies and innovations, of human-computer interaction. Although we are still voice assistant technology has now surpassed the ini- in the midst of voice-based platforms, Deloitte Con- tial proof-of-concept and marketing hype stages and sulting has already predicted that intelligent inter- entered into a zone that demands further realization faces will be the next breakthrough of human expe- May/June 2020 May/June of its value and fulfillment of expectations. -
Smart Reply Feature ` 01-Feb-2018
SMART REPLY FEATURE ` 01-FEB-2018 Google announced that it is now rolling out the Smart Reply feature to messaging app Android Messages. The AI-based Smart Reply feature was launched with GooglePHISHING Allo back in September 2016. It will be available only for Project Fi users currently, with no timeline on a wider rollout. Google will require access to your SMS history to help it generate intelligent responses. The announcement was made through a tweet on Project Fi's official Twitter account. Smart Reply, launched with Google Allo, automatically suggests responses to messages that you have received. It provides contextual replies by analysing the recent message in the thread.PHISHING It can be turned off by going into Settings in Android Messages, under Smart Reply. The feature currently works with Google Allo, Gmail, Google Assistant, and, now, Android Messages - but the last as we mentioned is only for Project Fi users. Notably, this addition of Smart Reply to Android Messages comes a week after a teardown of Google's Gboard beta APK revealed that the Smart Reply intelligent suggestions are coming to the Gboard app on Android. The keyboard is expected to offer phrase-length suggestions in the topmost row. Thanks to the upcoming integration, the feature will work on wide variety of apps, negating the need for third-party app developers to bring Smart Reply support or similar features on their offerings. Apart from first party apps like Allo, Android Messages, and Hangouts, the feature was also spotted working on Facebook, Messenger Lite, WhatsApp, Facebook Messenger, and Tencent's platforms. -
Smart Speakers' Adoption: Technology Acceptance Model and the Role Of
Department of Business and Management Master’s Degree in Marketing Analytics & Metrics Chair of Marketing Metrics Smart speakers’ adoption: Technology Acceptance Model and the role of Conversational Style Prof. Michele Costabile Prof. Maria Giovanna Devetag SUPERVISOR CO-SUPERVISOR Flavia Pigliacelli ID 712581 CANDIDATE Academic Year 2019/2020 1 A mio padre, tra le cui braccia calde anche l’ultima paura morì. A mia madre, forte e debole compagna. A mia sorella Claudia, vento e magica corrente. Alla mia famiglia, carburante del mio fare e paracadute del mio disfare. 2 “Do not be fobbed off with mere personal success or acceptance. You will make all kinds of mistakes; but as long as you are generous and true, and also fierce, you cannot hurt the world or even seriously distress her.” Winston Churchill 3 TABLE OF CONTENTS INTRODUCTION ......................................................................................................................................................... 5 CHAPTER ONE ............................................................................................................................................................ 7 1.1 Smart speakers: home voices paving the way to the Internet of Things .......................................................... 7 1.2 Artificial Intelligence and Machine Learning in voice search: disruptive ingredients for the IoT business revolution ................................................................................................................................................................ -
Serverless Computing, Artificial Intelligence, and Vmware Collaboration: Amazon Is the Public Cloud Vendor to Beat!
Serverless Computing, Artificial Intelligence, and VMware Collaboration: Amazon is the Public Cloud Vendor to Beat! Introduction 55% year over year revenue growth and approximately $13 billion in 2016 total revenue (over three times the size of its closest competitor, Microsoft Azure) demonstrate Amazon Web Services’ (AWS) strong momentum. Amazon claims that new customers are mostly attracted by two core advantages: rapid provisioning speed of easily consumable services and cost savings. Research by Enterprise Management Associates (EMA) confirms this claim and EMA continues to be impressed by Amazon’s pace of innovation and bold investments in future technologies, such as serverless computing, artificial intelligence and the Internet of Things. Exactly this innovation-centric strategy made Amazon.com the sustained and undisputed market leader in online retail, e-readers and ebooks. The sheer number of significant fourth-quarter announcements (28), combined with this year’s size of the AWS re:Invent show in Las Vegas, NV, (32,000 attendees, 562 sessions, and 996 speakers) demonstrate that Amazon will not take their foot off the gas. This EMA Impact Brief provides an overview of the most strategically significant announcements and what they mean for customers and competition. The VMware Collaboration: Bringing vSphere Customers VMware’s upcoming into the AWS Universe Cross-Cloud Architecture Later in 2017, customers will be able to run their vSphere-based applications inside Amazon’s data centers. VMware will offer this option will tie the vSphere and the to its customers so they can rapidly create a hybrid or public cloud AWS universe together. while still using the same VMware management and provisioning tools. -
Case 6:20-Cv-00573-ADA Document 1 Filed 06/29/20 Page 1 of 36
Case 6:20-cv-00573-ADA Document 1 Filed 06/29/20 Page 1 of 36 IN THE UNITED STATES DISTRICT COURT FOR THE WESTERN DISTRICT OF TEXAS WACO DIVISION WSOU INVESTMENTS, LLC d/b/a § BRAZOS LICENSING AND § DEVELOPMENT, § CIVIL ACTION NO. 6:20-cv-573 § Plaintiff, § JURY TRIAL DEMANDED § v. § § GOOGLE LLC, § § Defendant. § § ORIGINAL COMPLAINT FOR PATENT INFRINGEMENT Plaintiff WSOU Investments, LLC d/b/a Brazos Licensing and Development (“Brazos” or “Plaintiff”), by and through its attorneys, files this Complaint for Patent Infringement against Google LLC (“Google”) and alleges: NATURE OF THE ACTION 1. This is a civil action for patent infringement arising under the Patent Laws of the United States, 35 U.S.C. §§ 1, et seq., including §§ 271, 281, 284, and 285. THE PARTIES 2. Brazos is a limited liability corporation organized and existing under the laws of Delaware, with its principal place of business at 605 Austin Avenue, Suite 6, Waco, Texas 76701. 3. On information and belief, Google is a Delaware corporation with a physical address at 500 West 2nd Street, Austin, Texas 78701. JURISDICTION AND VENUE 4. This is an action for patent infringement which arises under the Patent Laws of the United States, in particular, 35 U.S.C. §§ 271, 281, 284, and 285. 1 Case 6:20-cv-00573-ADA Document 1 Filed 06/29/20 Page 2 of 36 5. This Court has jurisdiction over the subject matter of this action under 28 U.S.C. §§ 1331 and 1338(a). 6. This Court has specific and general personal jurisdiction over the defendant pursuant to due process and/or the Texas Long Arm Statute, because the defendant has committed acts giving rise to this action within Texas and within this judicial district. -
Oxygen Forensic® Detectivev.9.3
Release notes April 2017 Oxygen Forensic® Detective v.9.3 HUAWEI CLOUD DATA DECRYPTION OF ICLOUD WHATSAPP BACKUP Huawei Consumer Business Group is recognized as the third Oxygen Forensics is proud to introduce the ability to decrypt largest smartphone manufacturer by market share. We at WhatsApp backup data extracted from iCloud. To decrypt data Oxygen Forensics always strive to provide our customers with you need to enter a code received via SMS or a phone call the most up-to-date tools for data extraction and analysis. into the specified field of Oxygen Forensic® Cloud Extractor. The latest Oxygen Forensic® Detective enables you to acquire Once the backup is fully decoded you can view and analyze data from Huawei cloud via login/password or token. You gain contacts, group and private chats with all the attachments. immediate access to messages, calls, device list and general Access to WhatsApp backup in iCloud is possible via login/ information of Huawei devices saved to the cloud. password or token that can be extracted from a mobile device. PORTABLE OXYGEN FORENSIC® VIEWER APPLE NOTES DECODING Our Oxygen Forensic® Viewer is now available in Starting from iOS 9.3 Apple Inc. offered an a portable version. It requires no installation or opportunity to the customers to lock their notes activation. All you need to do is to download the with a password. The updated Oxygen Forensic® program archive from your customer area and Detective extracts and decrypts notes created in unpack it to any specified folder on PC. Apple devices running iOS 9.x and 10.x. -
Formatvorlage Für Beiträge Zur Konferenz
‘ALEXA, WHO ARE YOU?’ – ANALYSING ALEXA’S, CORTANA’S AND SIRI’S VOCAL PERSONALITY Anabell Hacker Technische Universität Berlin, FG Kommunikationswissenschaft [email protected] Abstract: The paper answers the research question of whether listeners assign a per- sonality to synthetic voices by using the example of Alexa by Amazon, Cortana by Microsoft and Siri by Apple. Moreover, the voices were assessed regarding their at- tractiveness. A perception experiment was conducted with 37 participants (28 female, nine male). Listeners were asked to rate the voice recordings using the 30-item short version of the NEO-FFI personality test and additionally on a seven-point attractive- ness scale. The participants were able to assign personality to the synthetic voices. In the dimension of Extraversion, Siri showed the highest values, followed by Alexa. Alexa was deemed the most conscientious, with Siri and Cortana after that. Cortana had the highest Neuroticism values, followed by Siri and then Alexa. Siri was rated the most open to experience while Cortana received the lowest scores. Siri was also perceived as the most agreeable, Cortana had lower values in this dimension with Alexa in between. Siri and Alexa were rated significantly more attractive than Cortana. Lastly, an acoustic analysis of the recordings showed parallels to observations from research on the subject of voice and personality. 1 Introduction Smart speech assistants are becoming more popular because of their ease of use and by con- ducting tasks automatically just by voice command [1] [2]. Due to the growing acceptance and use of these artificial intelligences, this paper answers the research question of whether users assign a personality to synthetic voices. -
Google Data Collection —NEW—
Digital Content Next January 2018 / DCN Distributed Content Revenue Benchmark Google Data Collection —NEW— August 2018 digitalcontentnext.org CONFIDENTIAL - DCN Participating Members Only 1 This research was conducted by Professor Douglas C. Schmidt, Professor of Computer Science at Vanderbilt University, and his team. DCN is grateful to support Professor Schmidt in distributing it. We offer it to the public with the permission of Professor Schmidt. Google Data Collection Professor Douglas C. Schmidt, Vanderbilt University August 15, 2018 I. EXECUTIVE SUMMARY 1. Google is the world’s largest digital advertising company.1 It also provides the #1 web browser,2 the #1 mobile platform,3 and the #1 search engine4 worldwide. Google’s video platform, email service, and map application have over 1 billion monthly active users each.5 Google utilizes the tremendous reach of its products to collect detailed information about people’s online and real-world behaviors, which it then uses to target them with paid advertising. Google’s revenues increase significantly as the targeting technology and data are refined. 2. Google collects user data in a variety of ways. The most obvious are “active,” with the user directly and consciously communicating information to Google, as for example by signing in to any of its widely used applications such as YouTube, Gmail, Search etc. Less obvious ways for Google to collect data are “passive” means, whereby an application is instrumented to gather information while it’s running, possibly without the user’s knowledge. Google’s passive data gathering methods arise from platforms (e.g. Android and Chrome), applications (e.g. -
Factors Affecting Intention to Use Google
International Journal of Multidisciplinary Research and Publications ISSN (Online): 2581-6187 Factors Affecting Intention to use Google Bakr Al Samman PhD Aspirant, Limkokwing University, Malaysia Email address: bakralsamman @ gmail.com Abstract— There is lack of scholastic exploration on expectation to promoting (Salvaterra, 2020). Facebook has solid sales utilize Google search mobile application, particularly with regards to revenues, and gives a 'stylish' center engaging business, which rising economies like Malaysia, consequently the objective for this is more helpless against market changes and newcomers research is to investigate factors influencing aim to utilize Google (Smyth, 2019). Shopee stays solid in their target markets, but search. The research gap will be filled by utilizing a quantitative confronting expanding difficulties in retaining earnings (Atifi, exploration approach. Research findings have found that lack of ease of use, lack of relative advantage, and lack of observability are 2018). Google's presentation is generally disturbed by its problems that have lowered Malaysian online users’ intentions to use rivals' presences, as Google is step by step losing piece of the Google search. Both mobile application developers and marketers of pie to Facebook and Shopee (Wozniakowski, 2020). Google Malaysia from Alphabet Inc. are ought to invest proactive managerial involvement and the stronger the communicational Problem Statement advantages, to encourage exploitation by means of policies Google should be in front of its rivals like Facebook and promoting digital infrastructure, to make opportunities more visible, Shopee, on the grounds that it drives the internet paid pursuit to increase consumers’ intention to use Google search. by a huge margin, and claims majority of the promotion- plumbing mechanism in the web (Salvaterra, 2020).