DIY Assistant: a Multi-Modal End-User Programmable Virtual Assistant
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Using Emergent Team Structure to Focus Collaboration
Using Emergent Team Structure to Focus Collaboration by Shawn Minto B.Sc, The University of British Columbia, 2005 A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science The Faculty of Graduate Studies (Computer Science) The University Of British Columbia January 30, 2007 © Shawn Minto 2007 ii Abstract To build successful complex software systems, developers must collaborate with each other to solve issues. To facilitate this collaboration specialized tools are being integrated into development environments. Although these tools facilitate collaboration, they do not foster it. The problem is that the tools require the developers to maintain a list of other developers with whom they may wish to communicate. In any given situation, it is the developer who must determine who within this list has expertise for the specific situation. Unless the team is small and static, maintaining the knowledge about who is expert in particular parts of the system is difficult. As many organizations are beginning to use agile development and distributed software practices, which result in teams with dynamic membership, maintaining this knowledge is impossible. This thesis investigates whether emergent team structure can be used to support collaboration amongst software developers. The membership of an emergent team is determined from analysis of software artifacts. We first show that emergent teams exist within a particular open-source software project, the Eclipse integrated development environment. We then present a tool called Emergent Expertise Locator (EEL) that uses emergent team information to propose experts to a developer within their development environment as the developer works. We validated this approach to support collaboration by applying our ap• proach to historical data gathered from the Eclipse project, Firefox and Bugzilla and comparing the results to an existing heuristic for recommending experts that produces a list of experts based on the revision history of individual files. -
Digital Workaholics:A Click Away
GSJ: Volume 9, Issue 5, May 2021 ISSN 2320-9186 1479 GSJ: Volume 9, Issue 5, May 2021, Online: ISSN 2320-9186 www.globalscientificjournal.com DIGITAL WORKAHOLICS:A CLICK AWAY Tripti Srivastava Muskan Chauhan Rohit Pandey Galgotias University Galgotias University Galgotias University [email protected] muskanchauhansmile@g [email protected] m mail.com om ABSTRACT:-In today’s world, Artificial Intelligence (AI) has become an 1. INTRODUCTION integral part of human life. There are many applications of AI such as Chatbot, AI defines as those device that understands network security, complex problem there surroundings and took actions which solving, assistants, and many such. increase there chance to accomplish its Artificial Intelligence is designed to have outcomes. Artifical Intelligence used as “a cognitive intelligence which learns from system’s ability to precisely interpret its experience to take future decisions. A external data, to learn previous such data, virtual assistant is also an example of and to use these learnings to accomplish cognitive intelligence. Virtual assistant distinct outcomes and tasks through supple implies the AI operated program which adaptation.” Artificial Intelligence is the can assist you to reply to your query or developing branch of computer science. virtually do something for you. Currently, Having much more power and ability to the virtual assistant is used for personal develop the various application. AI implies and professional use. Most of the virtual the use of a different algorithm to solve assistant is device-dependent and is bind to various problems. The major application a single user or device. It recognizes only being Optical character recognition, one user. -
Deep Almond: a Deep Learning-Based Virtual Assistant [Language-To-Code Synthesis of Trigger-Action Programs Using Seq2seq Neural Networks]
Deep Almond: A Deep Learning-based Virtual Assistant [Language-to-code synthesis of Trigger-Action programs using Seq2Seq Neural Networks] Giovanni Campagna Rakesh Ramesh Computer Science Department Stanford University Stanford, CA 94305 {gcampagn, rakeshr1}@stanford.edu Abstract Virtual assistants are the cutting edge of end user interaction, thanks to endless set of capabilities across multiple services. The natural language techniques thus need to be evolved to match the level of power and sophistication that users ex- pect from virtual assistants. In this report we investigate an existing deep learning model for semantic parsing, and we apply it to the problem of converting nat- ural language to trigger-action programs for the Almond virtual assistant. We implement a one layer seq2seq model with attention layer, and experiment with grammar constraints and different RNN cells. We take advantage of its existing dataset and we experiment with different ways to extend the training set. Our parser shows mixed results on the different Almond test sets, performing better than the state of the art on synthetic benchmarks by about 10% but poorer on real- istic user data by about 15%. Furthermore, our parser is shown to be extensible to generalization, as well as or better than the current system employed by Almond. 1 Introduction Today, we can ask virtual assistants like Amazon Alexa, Apple’s Siri, Google Now to perform simple tasks like, “What’s the weather”, “Remind me to take pills in the morning”, etc. in natural language. The next evolution of natural language interaction with virtual assistants is in the form of task automation such as “turn on the air conditioner whenever the temperature rises above 30 degrees Celsius”, or “if there is motion on the security camera after 10pm, call Bob”. -
Inside Chatbots – Answer Bot Vs. Personal Assistant Vs. Virtual Support Agent
WHITE PAPER Inside Chatbots – Answer Bot vs. Personal Assistant vs. Virtual Support Agent Artificial intelligence (AI) has made huge strides in recent years and chatbots have become all the rage as they transform customer service. Terminology, such as answer bots, intelligent personal assistants, virtual assistants for business, and virtual support agents are used interchangeably, but are they the same thing? The concepts are similar, but each serves a different purpose, has specific capabilities, varying extensibility, and provides a range of business value. 2018 © Copyright ServiceAide, Inc. 1-650-206-8988 | www.serviceaide.com | [email protected] INSIDE CHATBOTS – ANSWER BOT VS. PERSONAL ASSISTANT VS. VIRTUAL SUPPORT AGENT WHITE PAPER Before we dive into each solution, a short technical primer is in order. A chatbot is an AI-based solution that uses natural language understanding to “understand” a user’s statement or request and map that to a specific intent. The ‘intent’ is equivalent to the intention or ‘the want’ of the user, such as ordering a pizza or booking a flight. Once the chatbot understands the intent of the user, it can carry out the corresponding task(s). To create a chatbot, someone (the developer or vendor) must determine the services that the ‘bot’ will provide and then collect the information to support requests for the services. The designer must train the chatbot on numerous speech patterns (called utterances) which cover various ways a user or customer might express intent. In this development stage, the developer defines the information required for a particular service (e.g. for a pizza order the chatbot will require the size of the pizza, crust type, and toppings). -
Welsh Language Technology Action Plan Progress Report 2020 Welsh Language Technology Action Plan: Progress Report 2020
Welsh language technology action plan Progress report 2020 Welsh language technology action plan: Progress report 2020 Audience All those interested in ensuring that the Welsh language thrives digitally. Overview This report reviews progress with work packages of the Welsh Government’s Welsh language technology action plan between its October 2018 publication and the end of 2020. The Welsh language technology action plan derives from the Welsh Government’s strategy Cymraeg 2050: A million Welsh speakers (2017). Its aim is to plan technological developments to ensure that the Welsh language can be used in a wide variety of contexts, be that by using voice, keyboard or other means of human-computer interaction. Action required For information. Further information Enquiries about this document should be directed to: Welsh Language Division Welsh Government Cathays Park Cardiff CF10 3NQ e-mail: [email protected] @cymraeg Facebook/Cymraeg Additional copies This document can be accessed from gov.wales Related documents Prosperity for All: the national strategy (2017); Education in Wales: Our national mission, Action plan 2017–21 (2017); Cymraeg 2050: A million Welsh speakers (2017); Cymraeg 2050: A million Welsh speakers, Work programme 2017–21 (2017); Welsh language technology action plan (2018); Welsh-language Technology and Digital Media Action Plan (2013); Technology, Websites and Software: Welsh Language Considerations (Welsh Language Commissioner, 2016) Mae’r ddogfen yma hefyd ar gael yn Gymraeg. This document is also available in Welsh. -
CSS 2.1) Specification
Cascading Style Sheets Level 2 Revision 1 (CSS 2.1) Specification W3C Editors Draft 26 February 2014 This version: http://www.w3.org/TR/2014/ED-CSS2-20140226 Latest version: http://www.w3.org/TR/CSS2 Previous versions: http://www.w3.org/TR/2011/REC-CSS2-20110607 http://www.w3.org/TR/2008/REC-CSS2-20080411/ Editors: Bert Bos <bert @w3.org> Tantek Çelik <tantek @cs.stanford.edu> Ian Hickson <ian @hixie.ch> Håkon Wium Lie <howcome @opera.com> Please refer to the errata for this document. This document is also available in these non-normative formats: plain text, gzip'ed tar file, zip file, gzip'ed PostScript, PDF. See also translations. Copyright © 2011 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract This specification defines Cascading Style Sheets, level 2 revision 1 (CSS 2.1). CSS 2.1 is a style sheet language that allows authors and users to attach style (e.g., fonts and spacing) to structured documents (e.g., HTML documents and XML applications). By separating the presentation style of documents from the content of documents, CSS 2.1 simplifies Web authoring and site maintenance. CSS 2.1 builds on CSS2 [CSS2] which builds on CSS1 [CSS1]. It supports media- specific style sheets so that authors may tailor the presentation of their documents to visual browsers, aural devices, printers, braille devices, handheld devices, etc. It also supports content positioning, table layout, features for internationalization and some properties related to user interface. CSS 2.1 corrects a few errors in CSS2 (the most important being a new definition of the height/width of absolutely positioned elements, more influence for HTML's "style" attribute and a new calculation of the 'clip' property), and adds a few highly requested features which have already been widely implemented. -
A Generator of Natural Language Semantic Parsers for Virtual
Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands Giovanni Campagna∗ Silei Xu∗ Mehrad Moradshahi Computer Science Department Computer Science Department Computer Science Department Stanford University Stanford University Stanford University Stanford, CA, USA Stanford, CA, USA Stanford, CA, USA [email protected] [email protected] [email protected] Richard Socher Monica S. Lam Salesforce, Inc. Computer Science Department Palo Alto, CA, USA Stanford University [email protected] Stanford, CA, USA [email protected] Abstract CCS Concepts • Human-centered computing → Per- To understand diverse natural language commands, virtual sonal digital assistants; • Computing methodologies assistants today are trained with numerous labor-intensive, → Natural language processing; • Software and its engi- manually annotated sentences. This paper presents a method- neering → Context specific languages. ology and the Genie toolkit that can handle new compound Keywords virtual assistants, semantic parsing, training commands with significantly less manual effort. data generation, data augmentation, data engineering We advocate formalizing the capability of virtual assistants with a Virtual Assistant Programming Language (VAPL) and ACM Reference Format: using a neural semantic parser to translate natural language Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, into VAPL code. Genie needs only a small realistic set of input and Monica S. Lam. 2019. Genie: A Generator of Natural Lan- sentences for validating the neural model. Developers write guage Semantic Parsers for Virtual Assistant Commands. In Pro- templates to synthesize data; Genie uses crowdsourced para- ceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI ’19), June 22–26, 2019, phrases and data augmentation, along with the synthesized Phoenix, AZ, USA. -
HTML 4.01 Specification
HTML 4.01 Specification HTML 4.01 Specification W3C Proposed Recommendation This version: http://www.w3.org/TR/1999/PR-html40-19990824 (plain text [786Kb], gzip’ed tar archive of HTML files [367Kb], a .zip archive of HTML files [400Kb], gzip’ed Postscript file [740Kb, 387 pages], a PDF file [3Mb]) Latest version: http://www.w3.org/TR/html40 Previous version: http://www.w3.org/TR/1998/REC-html40-19980424 Editors: Dave Raggett <[email protected]> Arnaud Le Hors <[email protected]> Ian Jacobs <[email protected]> Copyright © 1997-1999 W3C® (MIT, INRIA, Keio), All Rights Reserved. W3C liability, trademark, document use and software licensing rules apply. Abstract This specification defines the HyperText Markup Language (HTML), version 4.0 (subversion 4.01), the publishing language of the World Wide Web. In addition to the text, multimedia, and hyperlink features of the previous versions of HTML, HTML 4.01 supports more multimedia options, scripting languages, style sheets, better printing facilities, and documents that are more accessible to users with disabilities. HTML 4.01 also takes great strides towards the internationalization of documents, with the goal of making the Web truly World Wide. HTML 4.01 is an SGML application conforming to International Standard ISO 8879 -- Standard Generalized Markup Language [ISO8879] [p.351] . Status of this document This section describes the status of this document at the time of its publication. Other documents may supersede this document. The latest status of this document series is maintained at the W3C. 1 24 Aug 1999 14:47 HTML 4.01 Specification This document is a revised version of the 4.0 Recommendation first released on 18 December 1997 and then revised 24 April 1998 Changes since the 24 April version [p.312] are not just editorial in nature. -
Brackets Third Party Page (
Brackets Third Party Page (http://www.adobe.com/go/thirdparty) "Cowboy" Ben Alman Copyright © 2010-2012 "Cowboy" Ben Alman Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. The Android Open Source Project Copyright (C) 2008 The Android Open Source Project All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. -
Virtual Assistant Services Portfolio
PORTFOLIO OF Virtual Assistant Services www.riojacinto.com WELCOME Hey there! My name is Rio Jacinto and I am a Virtual Assistant passionately helping busy business owners, women entrepreneurs and bloggers succeed by helping them with their website, social media accounts and others so they have more time to attract more ideal clients! I understand, You're here because you need an extra pair of hands to manage other business tasks that you're no longer have time to do. I get it, your main responsibility is to focus on building your business. I can help you with that. As a business owner you want to save some time to do more important roles in your business and I am here to help you and make that happen. Please check out my services and previous works in the next few pages. I can't wait to work with you! HOW CAN I HELP YOU MY SERVICES Creating Graphics using Canva Creating ebooks Personal errands (purchasing gifts for loved ones / family members online) Creating landing pages and sales pages FB Ads, Chatbots Hotel and Flight Booking Preparing Slideshows for Webinars or Presentations Recruitment and Outsourcing Management (source for other team members like writers) Social Media Management (Facebook, LinkedIn, Youtube, Pinterest, Instagram.) Creation of Basic Squarespace/Shopify Website Manage your Blog (Basic Squarespace/Shopify website Management) Filter and reply to comments on your blog Other virtual services, as available. PORTFOLIO FLYERS/MARKETING PORTFOLIO WEBSITE PORTFOLIO PINTEREST PORTFOLIO SOCIAL MEDIA GRAPHICS Facebook PORTFOLIO SOCIAL MEDIA GRAPHICS Instagram PORTFOLIO PRESENTATION WHITE PAPER RATES CHOOSE HERE FOR THE BEST PACKAGE THAT SUITS YOU Social Media Management Package starts from $150/mo *graphics creation/curation/scheduling/client support Pinterest Management Package starts from $50/wk *client provides stock photo or additional $2/ea. -
Voice Assistants and Smart Speakers in Everyday Life and in Education
Informatics in Education, 2020, Vol. 19, No. 3, 473–490 473 © 2020 Vilnius University, ETH Zürich DOI: 10.15388/infedu.2020.21 Voice Assistants and Smart Speakers in Everyday Life and in Education George TERZOPOULOS, Maya SATRATZEMI Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece Email: [email protected], [email protected] Received: November 2019 Abstract. In recent years, Artificial Intelligence (AI) has shown significant progress and its -po tential is growing. An application area of AI is Natural Language Processing (NLP). Voice as- sistants incorporate AI by using cloud computing and can communicate with the users in natural language. Voice assistants are easy to use and thus there are millions of devices that incorporates them in households nowadays. Most common devices with voice assistants are smart speakers and they have just started to be used in schools and universities. The purpose of this paper is to study how voice assistants and smart speakers are used in everyday life and whether there is potential in order for them to be used for educational purposes. Keywords: artificial intelligence, smart speakers, voice assistants, education. 1. Introduction Emerging technologies like virtual reality, augmented reality and voice interaction are reshaping the way people engage with the world and transforming digital experiences. Voice control is the next evolution of human-machine interaction, thanks to advances in cloud computing, Artificial Intelligence (AI) and the Internet of Things (IoT). In the last years, the heavy use of smartphones led to the appearance of voice assistants such as Apple’s Siri, Google’s Assistant, Microsoft’s Cortana and Amazon’s Alexa. -
Virtual Assistant Interview Questions and Answers Guide
Virtual Assistant Interview Questions And Answers Guide. Global Guideline. https://www.globalguideline.com/ Virtual Assistant Interview Questions And Answers Global Guideline . COM Virtual Assistant Job Interview Preparation Guide. Question # 1 Tell me what are your special skills working as a virtual assistant? Answer:- Over the years, I have gained expertise in handling bookkeeping duties, online research, database management and data entry, calendar management and call handling duties. Additionally, I am well-versed in responding to support tickets and providing online troubleshooting advice. Read More Answers. Question # 2 Tell me what are your working hours? Answer:- Knowing the best times and days you can contact your VA is essential to your business. As such, you should get the VA's working hours and compare them to your requirements. And if you're going to hire someone located on the other side of the world, be mindful of the time difference. Read More Answers. Question # 3 Tell me do you have references I can contact? Answer:- While there are virtual assistants who have reviews and testimonials you can read on their blogs or website, it is still important to contact the applicant's previous clients who can vouch for his professionalism so you can validate his claims. If there is any sign of hesitation on the applicant's end when you ask this question, you might want to think twice before hiring that person. Read More Answers. Question # 4 Please explain what timezone are you in and what hours are you available? Answer:- Because virtual assistants may be based anywhere in the world, it's important to make sure you're able to communicate.