Senior Living Communities: Made Safer by AI
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ITU AI/ML in 5G Challenge Open House and Roundtable No. 2 19 August 2020 Regional Hosts for Global Round 1
ITU AI/ML in 5G Challenge Open House and Roundtable No. 2 19 August 2020 Regional Hosts for Global Round 1. China 2. Spain 1 3. Spain 2 4. Brazil 5. India 6. Ireland 7. United States of America 8. Japan 9. Turkey 10. Adlik/ZTE Sponsors and Promotional Partners Sponsorship Challenge Promotion ➢ Cisco Systems and ZTE ❖ LF AI Foundation: ❖ SG Innovate (Singapore): ❖ Next Generation Mobile Networks Alliance: ITU AI/ML in 5G Challenge: Registrations We have more than 400 Registrations Over 50 countries Professionals 45% 55% Students The Grand Challenge Finale Tentative Schedule: To take place in mid- December (15 – 17 Dec, 2020) 15 Dec, 2020 16 Dec, 2020 17 Dec, 2020 Opening Ceremony Sponsor Session Invited Talk Sponsor Session Finals Presentation Sponsor Session Finals Presentation Finals Presentation Sponsor Session Finals Presentation Invited Talk Prize Presentation Invited Talk Finals Presentation Closing Ceremony Finals Presentation: Participants or teams that are invited to take part in the final conference and compete for the ITU Challenge Prizes. 10 - 15 minutes presentation including Q&A. ITU AI/ML in 5G Challenge: Prizes Participants/Teams across different problem statements will compete for the following titles and prizes: ➢ 1st prize: “ITU AI/ML in 5G Challenge Gold Champion”: 5,000 CHF ➢ 2nd prize: “ITU AI/ML in 5G Challenge Silver Champion”: 3,000 CHF ➢ 3rd prize: “ITU AI/ML in 5G Challenge Bronze Champion”: 2,000 CHF 3 Runners up will receive 1, 000 CHF each ITU Prizes Internship/collaboration Team-1 /job offer….. Team-2 Host-1 Team-3 Team-N Judges Final Judges Top 3 Challenge winning Teams st filter event filter - 1 prize: 5kCHF - 2nd prize: 3k - 3rd prize: 2k Team-1 3 Challenge runners up Team-2 - 1k each Host-N Team-3 Honorable mention Team-N certificates 300 CHF for winner of each problem statement Some regional hosts provide additional prizes. -
Stanley: the Robot That Won the DARPA Grand Challenge
Stanley: The Robot that Won the DARPA Grand Challenge ••••••••••••••••• •••••••••••••• Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia Oakley, Mark Palatucci, Vaughan Pratt, and Pascal Stang Stanford Artificial Intelligence Laboratory Stanford University Stanford, California 94305 Sven Strohband, Cedric Dupont, Lars-Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric Jensen, and Philippe Alessandrini Volkswagen of America, Inc. Electronics Research Laboratory 4009 Miranda Avenue, Suite 100 Palo Alto, California 94304 Gary Bradski, Bob Davies, Scott Ettinger, Adrian Kaehler, and Ara Nefian Intel Research 2200 Mission College Boulevard Santa Clara, California 95052 Pamela Mahoney Mohr Davidow Ventures 3000 Sand Hill Road, Bldg. 3, Suite 290 Menlo Park, California 94025 Received 13 April 2006; accepted 27 June 2006 Journal of Field Robotics 23(9), 661–692 (2006) © 2006 Wiley Periodicals, Inc. Published online in Wiley InterScience (www.interscience.wiley.com). • DOI: 10.1002/rob.20147 662 • Journal of Field Robotics—2006 This article describes the robot Stanley, which won the 2005 DARPA Grand Challenge. Stanley was developed for high-speed desert driving without manual intervention. The robot’s software system relied predominately on state-of-the-art artificial intelligence technologies, such as machine learning and probabilistic reasoning. This paper describes the major components of this architecture, and discusses the results of the Grand Chal- lenge race. © 2006 Wiley Periodicals, Inc. 1. INTRODUCTION sult of an intense development effort led by Stanford University, and involving experts from Volkswagen The Grand Challenge was launched by the Defense of America, Mohr Davidow Ventures, Intel Research, ͑ ͒ Advanced Research Projects Agency DARPA in and a number of other entities. -
Artificial Intelligence: a Roadmap for California
Artificial Intelligence: A Roadmap for California Report #245, November 2018 Milton Marks Commission on California State Government Organization and Economy Little Hoover Commission Dedicated to Promoting Economy and Efficiency Pedro Nava Chairman in California State Government Sean Varner Vice Chairman/ Subcommitee Member The Little Hoover Commission, formally known as the Milton Marks “Little Hoover” David Beier Commission on California State Government Organization and Economy, is an Subcommitee Chair independent state oversight agency created in 1962. By statute, the Commission Iveta Brigis is bipartisan and composed of nine public members, two senators and two Subcommitee Member assemblymembers. Cynthia Buiza In creating the Commission, the Legislature declared its purpose: Anthony Cannella Senator [T]o secure assistance for the Governor and itself in promoting Chad Mayes economy, efficiency and improved services in the transaction of Assemblymember the public business in the various departments, agencies and Don Perata instrumentalities of the executive branch of the state government, Bill Quirk and in making the operation of all state departments, agencies and Assemblymember instrumentalities, and all expenditures of public funds, more directly Richard Roth responsive to the wishes of the people as expressed by their elected Senator representatives. Cathy Schwamberger The Commission fulfills this charge by holding public hearings, consulting with experts Janna Sidley and listening to stakeholders. During the course of its studies, the Commission may Former Commissioners Who create subcommittees and conduct site visits. Served During The Study Joshua LaFarga The findings and recommendations of the Commission are submitted to the Governor and the Legislature for their consideration. Recommendations often take the form of Helen Iris Torres legislation, which the Commission supports through the legislative process. -
Malek M. Naouach
Malek M. Naouach Last update on October 25, 2018 Master Student in CS UWaterloo — Expected Graduation : December 2018 [email protected] · https://ca.linkedin.com/in/malek-m-naouach · +1 (226) 791-9719 Experience Amazon AWS Vancouver, Canada Software Development Engineer Intern - Thinkbox EC2 Core Team Sept ’17 – Dec ’17 • Refactored the code of legacy limits in Deadline 10 product • Designed and developed license and resource limits, and integrated them into Deadline Monitor • Was developing using Java, Python, Bash, Linux, Git, Markdown, MongoDB, Scrum • Updated the technical documentation of the product using Sphinx, reST, Dyoxygen • Wrote a blog post using reST, featuring in the product website: Creating Limits Just Got Easier! University of Waterloo, David Cheriton School of Computer Science Waterloo, Canada Graduate Research Assistant - Systems and Networking Lab Jan ’15 – present • My research work lies in the intersection of Modern Datacenters and Artificial Intelligence • My tech stack includes Linux, Docker, Vim, Tmux, OpenStack, OpenDaylight, GitHub, Java, Python • Designed and built Artemis: an artificial-intelligent agent at the end-hots, that learns how to schedule the traffic of deployed applications in a datacenter environment, in order to meet their communication requirements in terms of bandwidth and deadlines • Joint work on a speculative remote-procedure-call framework to speed up the execution of applications in a distributed environment (Published in USENIX Middleware’18) • Designed and implemented using Mininet, a -
Sharing COVID-19 Epidemiology Data
Sharing COVID-19 Epidemiology Data Version: 0.06a DOI: 10.15497/rda00049 Authors: RDA-COVID-19-Epidemiology Working Group Co-chair: Priyanka Pillai Moderators: Claire Austin, Gabriel Turinici Published: 31st August 2020 Abstract: An immediate understanding of the COVID-19 disease epidemiology is crucial to slowing infections, minimizing deaths, and making informed decisions about when, and to what extent, to impose mitigation measures, and when and how to reopen society. Despite our need for evidence based policies and medical decision making, there is no international standard or coordinated system for collecting, documenting, and disseminating COVID-19 related data and metadata, making their use and reuse for timely epidemiological analysis challenging due to issues with documentation, interoperability, completeness, methodological heterogeneity, and data quality. There is a pressing need for a coordinated global system encompassing preparedness, early detection, and rapid response to newly emergent threats such as SARS-CoV-2 virus and the COVID- 19 disease that it causes. The intended audience for the epidemiology recommendations and guidelines are government and international agencies, policy and decision makers, epidemiologists and public health experts, disaster preparedness and response experts, funders, data providers, teachers, researchers, clinicians, and other potential users. Keywords: COVID-19; supporting output; epidemiology; recommendations; guidelines; data sharing Language: English License: Attribution 4.0 International -
The Billionaire Professor Behind New Networking Startup Apstra - WSJ 30/03/16, 08:24
The Billionaire Professor Behind New Networking Startup Apstra - WSJ 30/03/16, 08:24 This copy is for your personal, non-commercial use only. To order presentation-ready copies for distribution to your colleagues, clients or customers visit http://www.djreprints.com. http://www.wsj.com/articles/the-billionaire-professor-behind-new-networking-startup-apstra-1459294850 TECH The Billionaire Professor Behind New Networking Startup Apstra Computer scientist David Cheriton has founded and funded multiple tech winners David Cheriton was an early investor in Google. PHOTO: APSTRA By DON CLARK Updated March 29, 2016 8:29 p.m. ET Computer scientist David Cheriton has been a quiet force behind the scenes in Silicon Valley for decades, using his brains and bank account to fund vendors of equipment that transmits data between computers and over the Internet. Now he wants the customers of those suppliers to feel free to shop elsewhere. The Stanford University professor, whose early investment in Alphabet Inc.’s Google helped make him a multibillionaire, recently bankrolled a startup called Apstra, which has been working on software for managing networking devices from multiple vendors. Apstra’s software makes it easier to integrate equipment from various suppliers as better options come along, Mr. Cheriton said. It could reduce customers’ reliance on vendors like Cisco Systems Inc. —which first made Mr. Cheriton wealthy in 1996 when it bought a startup he co-founded—and Arista Networks Inc., a leading maker of network switches that he co-founded in 2004. Network hardware companies tend to lock in customers as they http://www.wsj.com/articles/the-billionaire-professor-behind-new-networking-startup-apstra-1459294850 Page 1 of 4 The Billionaire Professor Behind New Networking Startup Apstra - WSJ 30/03/16, 08:24 develop expertise in running particular systems and become accustomed to proprietary features. -
Page Ndcal Complaint
1 JOHN JASNOCH SCOTT+SCOTT, ATTORNEYS AT LAW, LLP 2 707 Broadway, Suite 1000 San Diego, California 92101 3 Telephone: (619) 233-4565 Facsimile: (619) 233-0508 4 Email: [email protected] 5 THOMAS L. LAUGHLIN, IV SCOTT+SCOTT, ATTORNEYS AT LAW, LLP 6 The Chrysler Building 405 Lexington Avenue, 40th Floor 7 New York, New York 10174 Telephone: (212) 223-6444 8 Facsimile: (212) 223-6334 9 Attorneys for Plaintiff 10 [Additional counsel on signature page.] 11 12 UNITED STATES DISTRICT COURT 13 NORTHERN DISTRICT OF CALIFORNIA 14 15 WEST PALM BEACH FIRE PENSION FUND, Case No. 16 Plaintiff, 17 v. VERIFIED SHAREHOLDER 18 LAWRENCE “LARRY” PAGE, SERGEY M. DERIVATIVE COMPLAINT BRIN, ERIC E. SCHMIDT, L. JOHN DOERR, 19 DIANE B. GREENE, JOHN L. HENNESSY, ANN MATHER, PAUL S. OTELLINI, K. RAM 20 SHRIRAM, SHIRLEY M. TILGHMAN, MICHAEL J. MORITZ, ARTHUR D. LEVINSON, 21 ROBERT ALAN EUSTACE, OMID R. KORDESTANI, JONATHAN J. ROSENBERG, 22 SHONA L. BROWN, and ARNNON GESHURI, 23 Defendants, 24 and 25 GOOGLE, INC, 26 Nominal Defendant. 27 28 VERIFIED SHAREHOLDER DERIVATIVE COMPLAINT 1 PROLOGUE 2 “[T]here is ample evidence of an overarching conspiracy between” Google and the other defendants, and of “evidence of Defendants’ rigid wage structures and 3 internal equity concerns, along with statements from Defendants’ own executives, are likely to prove compelling in establishing the impact of the anti-solicitation 4 agreements . .” 5 In re High-Tech Employee Antitrust Litig., No. 11-cv-2509, 2014 WL 3917126, at *16 (N.D. 6 Cal. Aug. 8, 2014). 7 Plaintiff West Palm Beach Fire Pension Fund (“West Palm” or “Plaintiff”), on 8 behalf of Google, Inc. -
SALTISE 2020 Proceedings
Connect with SALTISE Connectez avec SALTISE Visit our website at: Visitez notre site web: www.saltise.ca www.saltise.ca Find us on Twitter, Facebook Retrouvez-nous sur Twitter, and Linkedin YouTube. Facebook et Linkedin YouTube. SALTISE 2020 Teaching Transformations: Proceedings 2 Small Changes, Big Impact Table of Contents | Table des matières Please note that some papers are in French Introduction ...........................................................................................................................................................8 Active Learning Practices & Strategies Oral communication in Science: Self-efficacy and other factors influencing performance of college science students ...................................................................................................10 Caroline Cormier, Simon Langlois Approaches for Decolonizing and Indigenizing Education: Lessons from the Intercollegiate Decolonization Network -- a grassroots collective ..........................................................11-12 Debbie Lunny, Alyson Jones, Jennifer Qupunuaq May, Jennifer Savard Creating of online courses and MOOC with Agile. .....................................................................................................13 Orzu Kamolova, Chloe Lei, Cristina Sanza, David Secko, Andrea Hunter Developing 21st C Skills with Online Curation and Social Annotation ......................................................................14 Patti Kingsmill, Kelly Macdonald, Phoebe Jackson, Kevin Lenton, Heather Roffey, -
A 20-Year Community Roadmap for Artificial Intelligence Research in the US
A 20-Year Community Roadmap for Begin forwarded message: From: AAAI Press <[email protected]> Subject: Recap Date: July 8, 2019 at 3:52:40 PM PDT To: Carol McKenna Hamilton <[email protected]>Artificial Intelligence Research in the US Could you check this for me? Hi Denise, While it is fresh in my mind, I wanted to provide you with a recap on the AAAI proceedings work done. Some sections of the proceedings were better than others, which is to be expected because authors in some subject areas are less likely to use gures, the use of which is a signicant factor in error rate. The vision section was an excellent example of this variability. The number of problems in this section was quite high. Although I only called out 13 papers for additional corrections, there were many problems that I simply let go. What continues to be an issue, is why the team didn’t catch many of these errors before compilation began. For example, some of the errors involved the use of the caption package, as well as the existence of setlength commands. These are errors that should have been discovered and corrected before compilation. As I’ve mentioned before, running search routines on the source of all the papers in a given section saves a great deal of time because, in part, it insures consistency. That is something that has been decidedly lacking with regard to how these papers have been (or haven’t been) corrected. It is a cause for concern because the error rate should have been improving, not getting worse. -
2018 World AI Industry Development Blue Book 2018 World AI Industry Development Blue Book
2018 World AI Industry Development Blue Book 2018 World AI Industry Development Blue Book Preface 3 As the driving force of a new round of technology Committed to taking the lead in China’s reform In-depth Report on the and opening-up and innovative developments, Development of the World AI and industrial revolution, artificial intelligence Industry, 2018 (AI) is wielding a profound impact on the world Shanghai has been working closely with economy, social progress and people’s daily life. related national ministries and commissions to Overview and Description Therefore, the 2018 World AI Conference will be jointly organize the 2018 World AI Conference. held in Shanghai from September 17 to 19 this year, Hosting this event becomes a priority in the Industrial Development jointly by the National Development and Reform process of Shanghai constructing the “five Environment Commission (NDRC), the Ministry of Science and centers” - international and economic center, Technology (MST), the Ministry of Industry and finance center, trade center, shipping center Technical Environment Information Technology (MIIT), the Cyberspace and technical innovation center, and building Administration of China (CAC), the Chinese the “four brands” of Shanghai - services, World AI Enterprises Academy of Sciences (CAS), the Chinese Academy manufacturing, shopping and culture. Also, of Engineering (CAE) and the Shanghai Municipal it is the practical measure to foster the reform World Investment and People’s Government, with the approval of the State and opening-up and optimize the business Financing Council, in order to accelerate the development environment in Shanghai. This meeting of a new generation of AI, complying with the provides the opportunity for Shanghai to Industrial Development development rules and grasping the future trends. -
Multi-Agent Systems in Starcraft
Multi-Agent Systems in StarCraft by H.J. Griffioen and D. Plenge Project duration: April 18, 2016 – July 17, 2016 Supervisors: Dr. K. V. Hindriks, TU Delft, supervisor Ir. V. J. Koeman, TU Delft, client Dr. M. A. Larson, TU Delft, Bachelor project coordinator An electronic version of this thesis is available at http://repository.tudelft.nl/. Preface This report is submitted in partial fulfillment of the requirement for the degree of Bachelor in Technical Com- puter Science at the Technical University of Delft. This report concludes the Bachelor project for third year students. The project was coached by Dr. K. V. Hindriks, from the Delft University of Technology. All re- search and development took place at the Delft University of Technology, department of Electrical Engineer- ing, Mathematics and Computer Science. The project started at April 18th 2016 and finished at June 17th 2016. We would like to thank our coach Dr. K. V. Hindriks, for giving us this opportunity in helping out in improving the MAS-Project course and giving us good structural feedback over the course of the project. We would also like to thank our client Ir. V. J. Koeman, for helping us out when needed and for also providing us with very detailed feedback over the course of the project. H.J. Griffioen and D. Plenge Delft, June 2016 iii Summary The department Interactive Intelligence of the TU Delft offer the Multi-Agent Systems (MAS) project to first year computer science students. The goal of this project is for computer science students to learn about multi-agent systems by creating such a system for the game Unreal Tournament. -
THE STATE of ARTIFICIAL INTELLIGENCE Recent Advances, Startup Landscape, the Road Ahead the Technology Market Intelligence Platform
THE STATE OF ARTIFICIAL INTELLIGENCE Recent advances, startup landscape, the road ahead The technology market intelligence platform. CB Insights software lets you predict, discuss, and communicate emerging technology trends using data in ways that are beyond human cognition. www.cbinsights.com 2 A FEW OF OUR HAPPY CUSTOMERS The most publicly reference-able customers of anyone in the industry “CB Insights' intuitive user interface, analytical capabilities, and detailed investment information create a very powerful tool for our team's research needs.” Nate D’Anna Cisco, Corporate Development See what other customers have to say at http://www.cbinsights.com/customer-love www.cbinsights.com 3 ACCESS THE AI COLLECTION WITH 1.6K+ COMPANIES Collections, our CRM for Innovation, lets your team easily use our data to create, and collaborate on market maps, target lists and sector reviews. No more unwieldy spreadsheets, email chains, and PowerPoint. Knowledge management done right. Click here for the AI collection: https://www.cbinsights.com/collections/76371/company www.cbinsights.com 4 TABLE OF CONTENTS 6 Tech industry’s AI revolution Trends in artificial intelligence, rising interest in private companies 15 Why now? Macro trends driving AI boom 23 The state of AI today Definitions, startup funding, applications, robotics 72 Emerging applications AI in gaming, reg tech, expert automation, and more 80 Where we are headed The ‘artificial general intelligence’ debate www.cbinsights.com 5 THE TECH INDUSTRY’S AI REVOLUTION www.cbinsights.com 6 ‘AI IS