Dont Be Evil
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Intelligent Cognitive Assistants (ICA) Workshop Summary and Research Needs Collaborative Machines to Enhance Human Capabilities
February 7, 2018 Intelligent Cognitive Assistants (ICA) Workshop Summary and Research Needs Collaborative Machines to Enhance Human Capabilities Abstract: The research needs and opportunities to create physico-cognitive systems which work collaboratively with people are presented. Workshop Dates and Venue: November 14-15, 2017, IBM Almaden Research Center, San Jose, CA Workshop Websites: https://www.src.org/program/ica https://www.nsf.gov/nano Oakley, John / SRC [email protected] [Feb 7, 2018] ICA-2: Intelligent Cognitive Assistants Workshop Summary and Research Needs Table of Contents Executive Summary .................................................................................................................... 2 Workshop Details ....................................................................................................................... 3 Organizing Committee ............................................................................................................ 3 Background ............................................................................................................................ 3 ICA-2 Workshop Outline ......................................................................................................... 6 Research Areas Presentations ................................................................................................. 7 Session 1: Cognitive Psychology ........................................................................................... 7 Session 2: Approaches to Artificial -
FOR IMMEDIATE RELEASE: Tuesday, April 13, 2021 From: Matthew Zeiler, Clarifai Contact: [email protected]
FOR IMMEDIATE RELEASE: Tuesday, April 13, 2021 From: Matthew Zeiler, Clarifai Contact: [email protected] https://www.clarifai.com Clarifai to Deliver AI/ML Algorithms on Palantir's Data Management Platform for U.S. Army's Ground Station Modernization Fort Lee, New Jersey - Clarifai, a leadinG AI lifecycle platform provider for manaGinG unstructured imaGe, video and text data, announced today that it has partnered with Palantir, Inc. (NYSE: PLTR) to deliver its Artificial IntelliGence and Machine LearninG alGorithms on Palantir’s data manaGement platform. This effort is part of the first phase of the U.S. Army’s Ground Station modernization in support of its Tactical IntelliGence TargetinG Access Node (TITAN) proGram. Palantir was awarded a Phase one Project Agreement throuGh an Other Transaction Agreement (OTA) with Consortium ManaGement Group, Inc. (CMG) on behalf of Consortium for Command, Control and Communications in Cyberspace (C5). DurinG the first phase of the initiative, Clarifai is supportinG Palantir by providinG object detection models to facilitate the desiGn of a Ground station prototype solution. “By providinG our Computer Vision AI solution to Palantir, Clarifai is helpinG the Army leveraGe spatial, hiGh altitude, aerial and terrestrial data sources for use in intelliGence and military operations,” said Dr. Matt Zeiler, Clarifai’s CEO. “The partnership will offer a ‘turnkey’ solution that inteGrates data from various sources, includinG commercial and classified sources from space to Ground sensors.” “In order to target with Great precision, we need to be able to see with Great precision, and that’s the objective of this proGram,” said Lieutenant General Robert P. -
Scene Understanding for Mobile Robots Exploiting Deep Learning Techniques
Scene Understanding for Mobile Robots exploiting Deep Learning Techniques José Carlos Rangel Ortiz Instituto Universitario de Investigación Informática Scene Understanding for Mobile Robots exploiting Deep Learning Techniques José Carlos Rangel Ortiz TESIS PRESENTADA PARA ASPIRAR AL GRADO DE DOCTOR POR LA UNIVERSIDAD DE ALICANTE MENCIÓN DE DOCTOR INTERNACIONAL PROGRAMA DE DOCTORADO EN INFORMÁTICA Dirigida por: Dr. Miguel Ángel Cazorla Quevedo Dr. Jesús Martínez Gómez 2017 The thesis presented in this document has been reviewed and approved for the INTERNATIONAL PhD HONOURABLE MENTION I would like to thank the advises and contributions for this thesis of the external reviewers: Professor Eduardo Mario Nebot (University of Sydney) Professor Cristian Iván Pinzón Trejos (Universidad Tecnológica de Panamá) This thesis is licensed under a CC BY-NC-SA International License (Cre- ative Commons AttributionNonCommercial-ShareAlike 4.0 International License). You are free to share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the ma- terial. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial — You may not use the material for commercial purposes. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. Document by José Carlos Rangel Ortiz. A mis padres. A Tango, Tomás y Julia en su memoria. -
20180006281.Pdf
11111111111111111111111111111111111111111111111111111111111111111111111111 (12) United States Patent (io) Patent No.: US 10,083,523 B2 Versace et al. (45) Date of Patent: Sep. 25, 2018 (54) METHODS AND APPARATUS FOR (56) References Cited AUTONOMOUS ROBOTIC CONTROL U.S. PATENT DOCUMENTS (71) Applicant: Neurala, Inc., Boston, MA (US) 5,063,603 A * 11/1991 Burt ................... GO6K 9/00255 382/115 (72) Inventors: Massimiliano Versace, Boston, MA 5,136,687 A 8/1992 Edelman et al. (US); Anatoly Gorshechnikov, (Continued) Newton, MA (US) FOREIGN PATENT DOCUMENTS (73) Assignee: Neurala, Inc., Boston, MA (US) EP 1 224 622 BI 7/2002 (*) Notice: Subject to any disclaimer, the term of this WO WO 2014/190208 11/2014 patent is extended or adjusted under 35 (Continued) U.S.C. 154(b) by 6 days. (21) Appl. No.: 15/262,637 OTHER PUBLICATIONS Berenson, D. et al., A robot path planning framework that learns (22) Filed: Sep. 12, 2016 from experience, 2012 International Conference on Robotics and (65) Prior Publication Data Automation, 2012,9 pages [retrieved from the internet] URL:http:// users.wpi.edu/-dberenson/lightning.pdf US 2017/0024877 Al Jan. 26, 2017 (Continued) Related U.S. Application Data Primary Examiner Li Liu (63) Continuation of application No. (74) Attorney, Agent, or Firm Smith Baluch LLP PCT/US2015/021492, filed on Mar. 19, 2015. (Continued) (57) ABSTRACT (51) Int. Cl. Sensory processing of visual, auditory, and other sensor G06K 9/00 (2006.01) information (e.g., visual imagery, LIDAR, RADAR)is con- G06T 7/70 (2017.01) ventionally based on "stovepiped," or isolated processing, (Continued) with little interactions between modules. -
The Ai First Experience
May 23, 2018 THE AI FIRST EXPERIENCE For Internal Use Only - Do Not Distribute CLARIFAI IS A MARKET LEADER IN VISUAL RECOGNITION AI TECHNOLOGY Proven, award-winning technology Team of computer vision experts $40M+ in venture to date Imagenet 2013 Winners Matt Zeiler, CEO & Founder Machine Learning PhD For Internal Use Only - Do Not Distribute COMPUTER VISION RESULTS 90% Accuracy 1980 2013 For Internal Use Only - Do Not Distribute AI 4 NEURAL NETWORK HISTORY 30x Speedup ● more data ● bigger models ● faster iterations 1980s 2009 Geoff Hinton Yann LeCun For Internal Use Only - Do Not Distribute CLARIFAI: A BRIEF HISTORY V2 API Brand Refresh Clarifai launches v2 API with Custom Clarifai launches brand refresh Training and Visual Search On Prem V1 API Series B Clarifai announces On Prem Clarifai launches v1 API Clarifai raises $30M series B funding for image recognition led by Menlo Ventures 2013 2015 2017 2014 2016 2018 Foundation Video Matt Zeiler wins top Clarifai announces video recognition SF Office ImageNet, starts Clarifai capability Clarifai announces opening of SF-based office Series A Clarifai receives $10M series A funding Mobile SDK led by Union Square Ventures Clarifai releases Mobile SDK in Beta Forevery Clarifai launches first consumer app, Forevery photo For Internal Use Only - Do Not Distribute AI 6 POWERFUL ARTIFICIAL INTELLIGENCE IN CLEAN APIS AND SDKS For Internal Use Only - Do Not Distribute AI 7 MODEL GALLERY DEMOS For Internal Use Only - Do Not Distribute AI 8 EASY TO USE API For Internal Use Only - Do Not Distribute -
FOR IMMEDIATE RELEASE: Thursday, May 27, 2021 From: Matthew Zeiler, Clarifai Contact: [email protected]
FOR IMMEDIATE RELEASE: Thursday, May 27, 2021 From: Matthew Zeiler, Clarifai Contact: [email protected] https://www.clarifai.com Clarifai Adds Another Senior Advisor to its Public Sector Advisory Council to Better Serve its Government and Civilian Agency Customers Fort Lee, NJ, May 27, 2021 — Today, Clarifai announced that Jacqueline Tame, the former Acting Deputy Director of the DoD’s Joint Artificial Intelligence Center (JAIC), has Joined the company as a senior advisor and member of its Public Sector Advisory Council. Clarifai is a leading AI provider that specializes in Computer Vision, Natural Language Processing and Audio Recognition. Clarifai helps government and defense agencies transform unstructured image, video, text and audio data into structured data. At the JAIC, Ms. Tame oversaw day-to-day operations, advised DoD AI leadership and led engagements with the White House and Congress to raise awareness of DoD AI programs and shape policy. “Jacqueline Tame has very unique expertise that combines DoD technology policy with implementation of repeatable, outcome-based AI programs” said Dr. Matt Zeiler, Clarifai’s CEO. “She is one of the few people that has successfully worked with Congress to define and fund the US government’s AI policy. We are thrilled to partner with Jacqueline in re-envisioning how our government can work with best-in-class technology companies while harnessing innovation at home.” Ms. Tame has also served as a Senior Advisor to the Under Secretary of Defense for Intelligence and Security; Senior Staffer on the House Permanent Select Committee on Intelligence; Chief of Customer Engagement at the Defense Intelligence Agency; Advisor to the Chief of Naval Operations; and Policy Advisor to the Deputy Director of National Intelligence. -
Challenges and Modern Machine Learning-Based Approaches to Object Tracking in Videos
Challenges and modern machine learning-based approaches to object tracking in videos Object Tracking Introduction Object tracking, also known as visual tracking, in a video, is one of the challenging tasks in machine vision due to appearance changes caused by variable illumination, occlusion, and variation changes (scale of objects, pose, articulation, etc.). Some of the complex problems in visual tracking is people tracking and traffic density estimation. The conventional algorithms developed by researchers are able to tackle only some of the issues in object tracking, however, they still do not provide a foolproof solution (Bombardelli, Gül, Becker, Schmidt, & Hellge, 2018). Note: It is assumed that readers of this article are well aware of ML techniques used in object detection and object classification. Video tracking aPPlications · Surveillance · Security · Traffic monitoring · Video communication · Robot vision · Accident prediction/detection Can we use object detection at every frame to track an object in a video? This is a very valid question, however, temporal information is a more complex task for non-static items. When things move, there are some occasions when the object disappears for a few frames. Object detection will stop at that point. If the image appears again, a lot of re-processing will be required to identify whether the object that appeared is the same object that was detected previously. The problem becomes more complex when there is more than one object in a video. Object detection is more focused on working with a single image at a time with no idea about motion that may have occurred in the past frame. -
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. -
Future Warfare and Artificial Intelligence
IDSA Occasional Paper No. 49 FUTURE WARFARE AND ARTIFICIAL INTELLIGENCE THE VISIB LE PATH ATUL PANT Future Warfare and Artificial Intelligence | 1 IDSA Occasional Paper No. 49 FUTURE WARFARE AND ARTIFICIAL INTELLIGENCE THE VISIBLE PATH ATUL PANT 2 | Atul Pant Institute for Defence Studies and Analyses, New Delhi. All rights reserved. No part of this publication may be reproduced, sorted in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photo-copying, recording or otherwise, without the prior permission of the Institute for Defence Studies and Analyses (IDSA). ISBN: 978-93-82169-80-2 First Published: August 2018 Price: Rs. Published by: Institute for Defence Studies and Analyses No.1, Development Enclave, Rao Tula Ram Marg, Delhi Cantt., New Delhi - 110 010 Tel. (91-11) 2671-7983 Fax.(91-11) 2615 4191 E-mail: [email protected] Website: http://www.idsa.in Cover & Layout by: Vaijayanti Patankar Printed at: M/s Future Warfare and Artificial Intelligence | 3 FUTURE WARFARE AND ARTIFICIAL INTELLIGENCE THE VISIBLE PATH rtificial Intelligence (AI) is being viewed as the most disruptive Atechnology of the current era. It is being substantially invested in and intensely worked upon in the scientific and commercial world. It is already showing up for nascent commercial usage in many gadgets and devices like mobiles, computers, web application servers, etc., for search assistance, requirement prediction, data analysis and validation, modelling and simulation, linguistics, psychology, among others. Commercial giants such as Google, Microsoft and Amazon are using AI for consumer behaviour prediction. Since 2011 we have been living in what is being termed as the “cognitive era” because of the increasing infusion of AI in everybody’s daily lives.1 IBM’s Watson, which probably was the first AI commercial application for problem solving in varied fields, was launched in 2013. -
Table of Contents Welcome from the General Chair
Table of Contents Welcome from the General Chair . .v Organizing Committee . vi Program Committee . vii-ix IJCNN 2011 Reviewers . ix-xiii Conference Topics . xiv-xv INNS Officers and Board of Governors . xvi INNS President’s Welcome . xvii IEEE CIS Officers and ADCOM . xviii IEEE CIS President’s Welcome . xix Cooperating Societies and Sponsors . xx Conference Information . xxi Hotel Maps . xxii. Schedule-At-A-Glance . xxiii-xxvii Schedule Grids . xxviii-xxxiii IJCNN 2012 Call for Papers . xxxiv-xxxvi Program . 1-31 Detailed Program . 33-146 Author Index . 147 i ii The 2011 International Joint Conference on Neural Networks Final Program July 31 – August 5, 2011 Doubletree Hotel San Jose, California, USA Sponsored by: International Neural Network Society iii The 2011 International Joint Conference on Neural Networks IJCNN 2011 Conference Proceedings © 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redis- tribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. For obtaining permission, write to IEEE Copyrights Manager, IEEE Operations Center, 445 Hoes Lane, PO Box 1331, Piscataway, NJ 08855-1331 USA. All rights reserved. Papers are printed as received from authors. All opinions expressed in the Proceedings are those of the authors and are not binding on The Institute of Electrical and Electronics Engineers, Inc. Additional -
Clarifai Contact: [email protected]
FOR IMMEDIATE RELEASE: Wednesday, October 28, 2020 From: Matthew Zeiler, Clarifai Contact: [email protected] https://www.clarifai.com Clarifai introduces a new suite of products at its inaugural Perceive 2020 conference NEW YORK, October 28, 2020 — Clarifai, a leading AI lifecycle platform provider for managing unstructured image, video, and text data, hosted its inaugural Perceive 2020 conference on October 21. The conference featured a rock star team of speakers from companies such as Facebook, Google, Samsung, and more. It also included 20 business, technical, panel, and use case sessions. “We hosted this free event to foster a community around AI, where businesses and public sector organizations can learn and collaborate and achieve their mission of accelerating their digital transformation with AI,” said Dr. Matt Zeiler, Clarifai’s CEO and Founder. Clarifai used the event to introduce a suite of new products that position them as the only complete end-to-end AI platform for unstructured data. “Our new Scribe product is a great addition to our end-to- end computer vision and NLP platform. We built it for scalable data labeling so that AI can really learn from accurately annotated datasets,” said Zeiler. In addition to Scribe, Clarifai launched Spacetime — a search tool that can identify when and where objects appear in images and video data. They also launched its Enlight suite for training, managing, and updating deep learning models. Enlight rapidly accelerates the model development process and helps users to iterate on their models over time. They can improve model accuracy and speed while preventing data drift. -
Perspectives on Visual Search Technology What Is Visual Search? Retailers Are Looking for New Ways to Streamline Product Discovery and Visual Search Is Enabling Them
July 2019 ComCap’s perspectives on Visual Search technology What is Visual Search? Retailers are looking for new ways to streamline product discovery and Visual Search is enabling them ▪ At it’s core, Visual Search can answer key questions that are more easily resolved using visual prompts, unlike traditional text-based searching − From a consumer standpoint, visual search enables product discovery, connecting consumers directly to the products they desire ▪ Visual search is helping blend physical experiences and online convenience as retailers are competing to offer the best service for high-demanding customers through innovative technologies ▪ Consumers are now actively seeking multiple ways to visually capture products across channels, resulting in various applications including: − Image Recognition: enabling consumers to connect pictures with products, either through camera- or online- produced snapshots through AI-powered tools − QR / bar code scanning: allowing quick and direct access between consumers and specific products − Augmented Reality enabled experiences: producing actionable experiences by recognizing objects and layering information on top of a real-time view Neiman Marcus Samsung Google Introduces Amazon Introduces Snap. Introduces Bixby Google Lens Introduces Find. Shop. (2015) Vision (2017) (2017) StyleSnap (2019) Source: eMarketer, News articles 2 Visual Search’s role in retail Visual Search capabilities are increasingly becoming the industry standard for major ecommerce platforms Consumers place more importance on