Artificial Intelligence June 2018 Artificial Intelligence June 2018 Sector Dashboard [4]
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Weekly Wireless Report November 10, 2017
Week Ending: Weekly Wireless Report November 10, 2017 03, 2017 This Week’s Stories Inside This Issue: T-Mobile-Sprint Merger Would Not Have Created Value- D.Telekom CEO This Week’s Stories November 7, 2017 T-Mobile-Sprint Merger Would Not Have Created Value- Deutsche Telekom ended talks on a merger between its T-Mobile US business and Sprint Corp D.Telekom CEO because it would not have created value, CEO Tim Hoettges told staff after the deal collapsed at the Intel Inks Multiyear Deal To weekend. Become Exclusive Virtual Reality Provider For Turner's NBA Hoettges said he flew 50,000 km in seven days to try to save the deal, meeting Masayoshi Son, head Coverage of Sprint owner Softbank Corp, at his private home in Tokyo only for the two sides to decide against a deal. Disturbing Videos Reportedly Showed Up On YouTube Kids “In the end, it is always about creating value for shareholders. Our impression was that this did not work out,” Hoettges wrote in a blog post to staff that was seen by Reuters. Products & Services Microsoft Word's New 'Resume The deal would have created a business with 130 million customers - a close third behind AT&T and Assistant' Uses LinkedIn To Make Verizon. Your Resume Better Alone, T-Mobile has 70.7 million customers and although it has added more than a million subscribers T-Mobile Can Keep Nest Secure for 18 quarters in a row it will take a long time to close the gap. Online If Your WiFi Fails T-Mobile has invested more than $40 billion in the last six years to scale up its operations, but Apple Finally Releases Its Venmo without Sprint’s spectrum portfolio faces further spending as U.S. -
Woodside Priory Teacher Hits the Books in Africa
September 24, 2008 ■ News of local people and events in the community. SECTION 2 A LSO INSIDE C ALENDAR 30 |R EAL ESTATE 33 |C LASSIFIEDS 40 Woodside Priory teacher hits the books in Africa Traveling to Kenya to start a girls’ school called a deeply motivating experience By Bob Bessin and of the family unit, is n my role as physics teacher at Woodside the greatest. Priory School, I have thought a lot about I am now part of a Iteaching a universe of children; not only group of teachers, started my students at the Priory. I and other teach- by Jason, from across the ers across the Bay Area are devoting ourselves Bay Area that organized to the aim of creating the first free girls’ sec- to create the Daraja Acad- ondary school in emy. We have already Kenya, the Daraja obtained an existing cam- About the author: Academy. pus in Kenya and are Bob Bessin of Los Altos has been teach- Through other working hard to begin ing physics for the last Priory teach- instruction in January. five years at Wood- ers, I met Jason Daraja means “bridge” side Priory School in Doherty, a teach- in Swahili and this school Portola Valley. Prior er in Vallejo and is about building bridg- to teaching, he was founder of the es. As one of the first an executive for high- Daraja Academy. free (including room and technology companies Jason was so pas- board) secondary schools Bob Bessin of the Woodside Priory greets primary school students at a school for squatters families in Kenya. -
Critical Elements for New Energy Technologies
Critical Elements for New Energy Technologies PANEL ON PUBLIC AFFAIRS An MIT Energy Initiative Workshop Report April 29, 2010 Critical Elements for New Energy Technologies PANEL ON PUBLIC AFFAIRS An MIT Energy Initiative Workshop Report April 29, 2010 Massachusetts Institute of Technology MIT Energy Workshop on Critical Elements for New Energy Technologies | April 29, 2010 PREFACE About the Workshop on Critical Elements for New Energy Technologies On April 29th, 2010, the Massachusetts Institute of Technology’s Energy Initiative (MITEI), together with the American Physical Society’s (APS) Panel on Public Affairs (POPA) and the Materials Research Society (MRS), co-sponsored a Workshop on Critical Elements for New Energy Technologies that took place at MITEI’s headquarters at MIT. The possibility that important new technologies for the generation, transmission, storage, or use of energy might be constrained by limitations on the availability of certain elements has only recently attracted signifi cant atten- tion. The purpose of the APS/MRS/MITEI workshop was to bring together experts in the diverse areas that bear on this novel issue and to try to determine the context, scope, complexity, and fi nally, the seriousness of the problem. The workshop also served as the kickoff for an APS/MRS study of energy-critical elements that will attempt to draw conclusions and recommend policy on this subject. This report summarizes the presentations and discussions that took place at the workshop. The core of the report is a rapporteur’s overview of the information presented by keynote speakers and the participants’ comments and points of view as they emerged in extensive discussion sessions. -
Mobile Smart Fundamentals Mma Members Edition June 2014
MOBILE SMART FUNDAMENTALS MMA MEMBERS EDITION JUNE 2014 messaging . advertising . apps . mcommerce www.mmaglobal.com NEW YORK • LONDON • SINGAPORE • SÃO PAULO MOBILE MARKETING ASSOCIATION JUNE 2014 REPORT The Global Board Given our continuous march toward providing marketers the tools they need to successfully leverage mobile, it’s tempting to give you another week-by-week update on our DRUMBEAT. But, as busy as that’s been, I’d like to focus my introduction for this month’s Mobile Smart Fundamentals on the recent announcement we made regarding our Global Board. Our May 6th announcement that we would be welcoming the first CMO in the MMA’s history to take up the position of Global Chairperson was significant for many reasons, not least of which is the incredible insight and leadership that John Costello brings to the role. This was also one of our first steps to truly aligning the MMA to a new marketer-first mission. Subsequently, on June 25th, we were pleased to announce the introduction, re-election and continuation of committed leaders to the MMA’s Global Board (read full press release here). But perhaps most significantly of all, we welcomed a number of new Brand marketers and that list of Brands on the Global Board now includes The Coca-Cola Company, Colgate-Palmolive, Dunkin’ Brands, General Motors, Mondelez International, Procter & Gamble, Unilever, Visa and Walmart. http://www.mmaglobal.com/about/board-of-directors/global To put this into context, the board now comprises 80% CEOs and Top 100 Marketers vs. three years ago where only 19% of the board comprised CEOs and a single marketer, with the majority being mid-level managers. -
Machine Learning Is Driving an Innovation Wave in Saas Software
Machine Learning is Driving an Innovation Wave in SaaS Software By Jeff Houston, CFA [email protected] | 512.364.2258 SaaS software vendors are enhancing their soluti ons with machine learning (ML) algorithms. ML is the ability of a computer to either automate or recommend appropriate actions by applying probability to data with a feedback loop that enables learning. We view ML as a subset of artificial intelligence (AI), which represents a broad collection of tools that include/leverage ML, such as natural language processing (NLP), self-driving cars, and robotics as well as some that are tangent to ML, such as logical rule-based algorithms. Although there have been multiple “AI Winters” since the 1950s where hype cycles were followed by a dearth of funding, ML is now an enduring innovation driver, in our opinion, due in part to the increasing ubiquity of affordable cloud-based processing power, data storage—we expect the pace of breakthroughs to accelerate. automation, customer support, marketing, and human resources) through both organic and M&A These innovations will make it easier for companies initiatives. As for vertical-specific solutions, we think to benefit beyond what is available with traditional that a new crop of vendors will embrace ML and business intelligence (BI) solutions, like IBM/ achieve billion-dollar valuations. VCs are making big Cognos and Tableau, that simply describe what bets that these hypotheses will come to fruition as happened in the past. New ML solutions are demonstrated by the $5B they poured into 550 amplifying intelligence while enabling consistent and startups using AI as a core part of their solution in better-informed reasoning, behaving as thought 20162. -
Global 3D Sensors Market Analysis November 2018
Global 3D Sensors Market Analysis November 2018 Strategic assessment of a high growth market Growing popularity of 3D-enabled devices will drive the future market growth. www.gmranalytics.com Table of Contents Executive Summary Market Analysis Highly dynamic environment Macroeconomic change affecting major applications Microeconomic landscape Market evolution Market growth drivers, market dynamics and trends Growing regulatory intervention worldwide Technologies transitioning and outlook Creating value through sustainable strategies The new frontiers of growth Industry Analysis Evolution of business models Profitability analysis Value chain mapping: Growth and value creation Megatrends and their impact Fixing the supply chain Upstream and Downstream business opportunities Effective pricing strategies Key implications and strategic recommendations for the organization leaders Technologies transitioning and outlook www.gmranalytics.com Deep dive on the global 3D sensors market 1. Market analysis by product category 1.1. Accelerometers 1.1.1. 3-axis 1.1.2. Others 1.2. Biometric sensors 1.3. Flex / Force 1.4. Gyros 1.4.1. 3-axis 1.4.2. Others 1.5. IMU 1.6. Infrared sensors 1.7. Light sensors/ Image sensors 1.8. Proximity sensors 1.9. Radiation sensors 1.10. Sound sensors 1.11. Pressure sensors 1.12. Level sensors 1.13. Load cells 1.14. Magnetic sensors 1.15. Optical sensors 1.16. Position & displacement sensors 1.17. Tachometers 1.18. Ultrasonic sensors 1.19. Multi-meters 1.20. Torque sensors 1.21. Acoustic sensors 1.22. Motion sensors 1.23. Speed sensors 1.24. Radar sensors 1.25. Others 2. Technology market analysis 2.1. Capacitive sensors 2.2. -
Market Update January 2020 a Machine Learning & Artificial Intelligence Market Update
PRIVATE & CONFIDENTIAL Market Update January 2020 A Machine Learning & Artificial Intelligence Market Update B Canaccord Genuity Overview / Update Artificial Intelligence Machine Learning f (x) Deep Learning Page 1 Driven by your success. Machine Learning (“ML”) and Artificial Intelligence (“AI”) continue to generate strong levels of attention and excitement in the marketplace, based on the promise of self-correcting algorithms driving increased intelligence and automation across a number of mission critical applications and use cases When ML & AI were first introduced as concepts that would impact the IT landscape, most companies in the sector were limited to collections of data scientists or technologies in search of use cases – today there are defined categories emerging and companies with real traction in ML/AI, as well as a growing set of tangible use cases While there is real innovation and traction occurring in ML/AI, in some cases it is still difficult to understand where certain companies truly play in the ML ecosystem and the unique value that each brings to the table – this presentation aims to provide a framework to understand the ML landscape First we look to define and better understand ML/AI technology, both the underlying algorithms as well as data science platforms, operational frameworks and advanced analytics solutions which leverage and / or optimize core ML/AI technologies – these are also described as “AI Infrastructure” From a category perspective, we focus primarily on horizontal platforms which can provide data -
Shikhar-Cv.Pdf
SHIKHAR SHARMA [email protected] Senior Research SDE, Microsoft Research http://www.shikharsharma.com/ RESEARCH INTERESTS • Deep Learning • Machine Learning • Recurrent Neural Networks • Adversarial Learning • Computer Vision • Task-oriented Dialogue RESEARCH STATEMENT SUMMARY My long-term research interest lies in advancing the capabilities of current artificial intelligence systems. I am highly interested in neural network architectures augmented with memory and attention mechanisms. My recent research deals with image synthesis and visually-grounded multi-modal dialogue systems, which stand to gain significant advantage from using memory and attention similar to how we as humans do. Prior to this, I have worked on visual attention models for action recognition and video description. I have broad interests in deep learning research in natural language processing and computer vision, which I believe are important research areas on the path to true artificial intelligence. EDUCATION University of Toronto Aug'14 - Feb'16 M.Sc. in Computer Science with the Deep Learning and Machine Learning group GPA: 3.83/4 • Thesis title: Action Recognition and Video Description using Visual Attention • Thesis supervisor: Prof. Ruslan Salakhutdinov Indian Institute of Technology (IIT), Kanpur Jul'10 - Jun'14 B.Tech. in Computer Science GPA: 9.3/10 • Thesis title: Speech Recognition using Deep Belief Networks and Hidden Markov Models • Thesis supervisor: Prof. Harish Karnick PUBLICATIONS yequal contribution Theses - Shikhar Sharma. 2016. \Action Recognition and Video Description using Visual Attention." Masters Thesis, University of Toronto Journal papers - Ashesh Jain, Shikhar Sharma, Thorsten Joachims, Ashutosh Saxena. 2015. \Learning preferences for ma- nipulation tasks from online coactive feedback." The International Journal of Robotics Research (IJRR), 34, 1296-1313 Conference and Workshop papers - Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. -
Profiles in Innovation: Artificial Intelligence
EQUITY RESEARCH | November 14, 2016 Artificial intelligence is the apex technology of the information era. In the latest in our Profiles in Innovation Heath P. Terry, CFA series, we examine how (212) 357-1849 advances in machine [email protected] learning and deep learning Goldman, Sachs & Co. have combined with more Jesse Hulsing powerful computing and an (415) 249-7464 ever-expanding pool of data [email protected] to bring AI within reach for Goldman, Sachs & Co. companies across Mark Grant industries. The development (212) 357-4475 [email protected] of AI-as-a-service has the Goldman, Sachs & Co. potential to open new markets and disrupt the Daniel Powell (917) 343-4120 playing field in cloud [email protected] computing. We believe the Goldman, Sachs & Co. ability to leverage AI will Piyush Mubayi become a defining attribute (852) 2978-1677 of competitive advantage [email protected] for companies in coming Goldman Sachs (Asia) L.L.C. years and will usher in a Waqar Syed resurgence in productivity. (212) 357-1804 [email protected] Goldman, Sachs & Co. PROFILESIN INNOVATION Artificial Intelligence AI, Machine Learning and Data Fuel the Future of Productivity Goldman Sachs does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their investment decision. For Reg AC certification and other important disclosures, see the Disclosure Appendix, or go to www.gs.com/research/hedge.html. -
Microsoft Corporation
A Progressive Digital Media business COMPANY PROFILE Microsoft Corporation REFERENCE CODE: 8ABE78BB-0732-4ACA-A41D-3012EBB1334D PUBLICATION DATE: 25 Jul 2017 www.marketline.com COPYRIGHT MARKETLINE. THIS CONTENT IS A LICENSED PRODUCT AND IS NOT TO BE PHOTOCOPIED OR DISTRIBUTED Microsoft Corporation TABLE OF CONTENTS TABLE OF CONTENTS Company Overview ........................................................................................................3 Key Facts.........................................................................................................................3 Business Description .....................................................................................................4 History .............................................................................................................................5 Key Employees .............................................................................................................26 Key Employee Biographies .........................................................................................28 Major Products & Services ..........................................................................................35 SWOT Analysis .............................................................................................................36 Top Competitors ...........................................................................................................44 Company View ..............................................................................................................45 -
2. Ai in Enterprise Software
1. CONTENTS 1. INDUSTRY SNAPSHOT ...................................................................................................................... 3 Introduction .......................................................................................................................................... 3 Market scope ....................................................................................................................................... 4 Geographical analysis of the AI landscape.......................................................................................... 5 VC Funding Trends .............................................................................................................................. 6 Growth drivers influencing the AI demand ........................................................................................... 8 Key AI vendors ..................................................................................................................................... 9 The AI application ecosystem ............................................................................................................ 10 Challenges ......................................................................................................................................... 11 2. AI IN ENTERPRISE SOFTWARE ...................................................................................................... 12 Introduction ....................................................................................................................................... -
Proceedings of the Second Storytelling Workshop, Pages 1–10 Florence, Italy, August 1, 2019
ACL 2019 Storytelling Proceedings of the Second Workshop August 1, 2019 Florence, Italy c 2019 The Association for Computational Linguistics Order copies of this and other ACL proceedings from: Association for Computational Linguistics (ACL) 209 N. Eighth Street Stroudsburg, PA 18360 USA Tel: +1-570-476-8006 Fax: +1-570-476-0860 [email protected] ISBN 978-1-950737-44-4 ii Introduction Welcome to the second *ACL workshop on Storytelling! Human storytelling has existed for as far back as we can trace, and is thought to be fundamental to being human. Stories help share ideas, histories, and common ground. This workshop examines what storytelling is, its structure and components, and how it is expressed, with respect to state of the art in language and computation. Part of grounding artificial intelligence work in human experience can involve the generation, understanding, and sharing of stories. This workshop highlights the diverse work being done in storytelling and AI across different fields. Papers at this workshop are multi-disciplinary, including work on neural and linguistic approaches to understanding and generating stories in narrative texts, social media, and visual narratives. The second workshop of Storytelling received 22 submissions. We accepted 14 submissions into the proceedings, 6 of which were presented as oral presentations, and 8 as posters. We accepted 3 of the submitted papers as non-archival works to be presented during the poster session. We are pleased to host an invited talk from Melissa Roemmele. We hope you enjoy the workshop! The Storytelling Workshop Organizers iii Organizers: Francis Ferraro, University of Maryland Baltimore County Ting-Hao (Kenneth) Huang, Pennsylvania State University Stephanie M.