Intel Buys Mobileye for $15Bn
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Intel and Mobileye Autonomous Driving Solutions
PRODUCT BRIEF Autonomous Driving Intel and Mobileye Autonomous Driving Solutions Together, Mobileye and Intel deliver scalable and versatile solutions using purpose-built software and efficient, powerful compute that will make autonomous driving an economic reality. Total Technology and Resources Making the self-driving car a reality requires an unprecedented integration of technology and expertise. Together, Mobileye and Intel provide comprehensive, scalable solutions to enable autonomous driving engineered for safety and affordability. With a combination of industry-leading computer vision, unique algorithms, crowdsourced mapping, efficient driving policy, a mathematical model designed for safety, and high-performing, low-power system designs, we deliver a versatile road map that scales to millions, not thousands, of vehicles. Purpose-built software and hardware Mobileye’s portfolio of innovative software across all pillars of autonomous driving (the “eyes”) complements Intel’s high-performance computing and connectivity expertise (the “brains”). This winning package supports complex and computationally intense vision processing with low power consumption, creating powerful and smart autonomous driving solutions from bumper to cloud. We start with revolutionary software from Mobileye that includes: • Low-cost, 360-degree surround-view computer vision • Crowdsourced Road Experience Management™ (REM™) mapping and localization • Sensor fusion, integrating surround vision and mapping with a multimodal sensor system • Efficient, semantic-based artificial intelligence (AI) for driving policy (decision-making) • A formal safety software layer via our Responsibility Sensitive Safety (RSS) model This advanced software calls for a powerful compute platform. We use a combination of proven Mobileye EyeQ® SoCs for computer vision, localization, sensor fusion, trajectory planning, and our RSS model designed for safety, as well as Intel® processors for translation of the planned trajectory into commands that are issued to the vehicle’s actuation system. -
Safe and Secure Model-Driven Design for Embedded Systems Letitia Li
Safe and secure model-driven design for embedded systems Letitia Li To cite this version: Letitia Li. Safe and secure model-driven design for embedded systems. Embedded Systems. Université Paris-Saclay, 2018. English. NNT : 2018SACLT002. tel-01894734 HAL Id: tel-01894734 https://pastel.archives-ouvertes.fr/tel-01894734 Submitted on 12 Oct 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Approche Orientee´ Modeles` pour la Suretˆ e´ et la Securit´ e´ des Systemes` Embarques´ These` de doctorat de l’Universite´ Paris-Saclay prepar´ ee´ a` Telecom ParisTech Ecole doctorale n◦580 Denomination´ (STIC) NNT : 2018SACLT002 Specialit´ e´ de doctorat: Informatique These` present´ ee´ et soutenue a` Biot, le 3 septembre` 2018, par LETITIA W. LI Composition du Jury : Prof. Philippe Collet Professeur, Universite´ Coteˆ d’Azur President´ Prof. Guy Gogniat Professeur, Universite´ de Bretagne Sud Rapporteur Prof. Maritta Heisel Professeur, University Duisburg-Essen Rapporteur Prof. Jean-Luc Danger Professeur, Telecom ParisTech Examinateur Dr. Patricia Guitton -
Content Marketing Members-Only Conference
Content Marketing Members-Only Conference Wednesday, March 12, 2014 | Charles Schwab & Co. Inc. | San Francisco, CA at We’ll be live tweeting throughout the conference (@ANAMarketers), as well as posting photos and other information at facebook.com/ANA. www.ana.net Table of Contents ANA Content Marketing Members-Only Conference at Charles Schwab & Co. Agenda ............................................................................ pg 2 Speaker Bios .................................................................... pg 4 Attendees ........................................................................ pg 7 ANA Member Benefits .....................................................pg 15 www.ana.net 1 Agenda ANA Content Marketing Members-Only Conference at Charles Schwab & Co. WEDNESDAY, MARCH 12, 2014 to expand the opportunity to engage balance different content strategies for consumers and to build brand affinity different types of brands, or measure Breakfast (8:15 a.m.) in a new way that complements tradi- real results? The next five years will see tional advertising. a strategic inflection for marketing and advertising, and content will be at the Helen Loh General Session (9:00 a.m.) core. This session will talk through the Vice President, Content and Digital Marketing business case, the process, the tactics Charles Schwab & Co. Inc. BENJAMIN MOORE USES CONTENT TO and real-life examples of how real CONNECT WITH DIFFERENT AUDIENCE Tami Dorsey brands are using content to drive real SEGMENTS Editorial Director marketing results. Charles Schwab & Co. Inc. Staying true to their namesake’s 130+ Robert Rose Chief Strategist year-old vision, Benjamin Moore & Co. INTEL DEVELOPS A BRANDED Content Marketing Institute is committed to producing the highest CONTENT FORMULA TO ENSURE quality paints and finishes in the indus- try. But marketing to their disparate REPEATED SUCCESS Lunch (12:50 p.m.) target markets (contractors to home- When Intel & Toshiba launched “The owners, as well as designers and archi- Inside Experience” in 2011 it was General Session Cont. -
Autonomous Vehicle Technology: a Guide for Policymakers
Autonomous Vehicle Technology A Guide for Policymakers James M. Anderson, Nidhi Kalra, Karlyn D. Stanley, Paul Sorensen, Constantine Samaras, Oluwatobi A. Oluwatola C O R P O R A T I O N For more information on this publication, visit www.rand.org/t/rr443-2 This revised edition incorporates minor editorial changes. Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-0-8330-8398-2 Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2016 RAND Corporation R® is a registered trademark. Cover image: Advertisement from 1957 for “America’s Independent Electric Light and Power Companies” (art by H. Miller). Text with original: “ELECTRICITY MAY BE THE DRIVER. One day your car may speed along an electric super-highway, its speed and steering automatically controlled by electronic devices embedded in the road. Highways will be made safe—by electricity! No traffic jams…no collisions…no driver fatigue.” Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.html. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. -
Certain Vision-Based Driver Assistance System Cameras, Components Thereof, and Products Containing the Same
In the Matter of CERTAIN VISION-BASED DRIVER ASSISTANCE SYSTEM CAMERAS, COMPONENTS THEREOF, AND PRODUCTS CONTAINING THE SAME 337-TA-907 Publication 4866 February 2019 U.S. International Trade Commission Washington, DC 20436 U.S. International Trade Commission COMMISSIONERS Meredith Broadbent, Chairman Dean Pinkert, Vice Chairman Irving Williamson, Commissioner David Johanson, Commissioner Rhonda Schmidtlein, Commissioner Address all communications to Secretary to the Commission United States International Trade Commission Washington, DC 20436 1,----- .______U.S. _____ International Trade Commission I Washington, DC 20436 www.usitc.gov In the Matter of CERTAIN VISION-BASED DRIVER ASSISTANCE SYSTEM CAMERAS, COMPONENTS THEREOF, AND PRODUCTS CONTAINING THE SAME 337-TA-907 Publication 4866 February 2019 UNITED STATES INTERNATIONAL TRADE COMMISSION Washington, D.C. 20436 In the Matter of Investigation No. 337-TA-907 CERTAIN VISION-BASED DRIVER ASSISTANCE SYSTEM CAMERAS, COMPONENTSTHEREOF,AND PRODUCTS CONTAINING THE SAME NOTICE OF THE COMMISSION'S DETERMINATION FINDING NO VIOLATION OF SECTION 337; TERMINATION OF THE INVESTIGATION AGENCY: U.S. International Trade Commission. ACTION: Notice. SUMMARY: Notice is hereby given that the U.S. International Trade Commission has found no violation of section 337 of the Tariff Act of 1930, 19 U.S.C. § 1337, in the above-captioned investigation, and has terminated the investigation. FOR FURTHER INFORMATION CONTACT: Amanda P. Fisherow, Office of the General Counsel, U.S. International Trade Commission, 500 E Street, S.W., Washington, D.C. 20436, telephone (202) 205-2737. The public version of the complaint can be accessed on the Commission's electronic docket (EDIS) at http://edis.usitc.gov, and will be available for inspection during official business hours. -
MOBILEYE What’S Next from CTO Amnon Shashua and His Benchmark ADAS Tech?
AUTOMOTIVE ENGINEERING! Argonne Labs’ nano-coating banishes friction, self-heals New sensor ICs critical for safety Nissan’s latest Titanic truck cab All eyes on MOBILEYE What’s next from CTO Amnon Shashua and his benchmark ADAS tech? March 2017 autoengineering.sae.org New eye on the road One of the industry’s hottest tech suppliers is blazing the autonomy trail by crowd-sourcing safe routes and using AI to learn to negotiate the road. Mobileye’s co-founder and CTO explains. by Steven Ashley With 15 million ADAS-equipped vehicles worldwide carrying Mobileye EyeQ vision units, Amnon Shashua’s company has been called “the benchmark for applied image processing in the [mobility] community.” mnon Shashua, co-founder and Chief image-processing ‘system-on-a-chip’ would be enough to reliably ac- Technology Officer of Israel-based Mobileye, complish the true sensing task at hand, thank you very much. And, it tells a story about when, in the year 2000, would do so more easily and inexpensively than the favored alternative he first began approaching global carmakers to radar ranging: stereo cameras that find depth using visual parallax. Awith his vision—that cameras, processor chips and software-smarts could lead to affordable advanced driver-assistance systems (ADAS) and eventually to zFAS and furious self-driving cars. Seventeen years later, some 15 million ADAS-equipped vehicles “I would go around to meet OEM customers to try worldwide carry Mobileye EyeQ vision units that use a monocular to push the idea that a monocular camera and chip camera. The company is now as much a part of the ADAS lexicon as could deliver what would be needed in a front-facing are Tier-1 heavyweights Delphi and Continental. -
Thermal-Aware Scheduling in Openmp
Thermal-aware Scheduling in OpenMP ARTUR PODOBAS KTH Information and Communication Technology Master of Science Thesis Stockholm, Sweden 2010 TRITA-ICT-EX-2010:114 I would like to thank my supervisor Mats Brorsson for the freedom I had in this work and his time, help, advices and directions when I was stuck as well as his mentorship. I also would like to oer thanks to the SICS multicore groups for useful feedback in the dierent stages of this work. Simics and Gems forum users have my thanks for all the question solved by reading through them. Finally my thanks to the guys at Barcelona Supercomputing Center for their support in the Nanos++ and Mercurium compiler. 2 Contents I Abbreviations 11 II Introduction 12 III Background Study 13 1 Introduction 14 2 Eects 15 2.1 Introduction . 15 2.2 Electromigration . 15 2.3 Stressmigration . 16 2.4 Time-Dependent Dielectric Breakdown . 16 2.5 Resistor-Capacitor-Delays / Propagation Delays . 17 2.6 Ohmic drop . 18 2.7 Package and Lifetime Cost . 18 3 The transistor and the inverter 20 3.1 Introduction . 20 3.2 The MOSFET Transistor . 20 3.3 The Inverter . 20 4 Power calculation 21 4.1 Introduction . 21 4.2 Static Power . 21 4.3 Dynamic Power . 21 5 Power management 24 5.1 Introduction . 24 5.2 Voltage and frequency scaling . 24 5.3 Clock Gating . 25 5.4 Power-ecient logic . 26 5.5 Thread, Task and Process migration . 26 5.6 Shutting down modules . 27 5.7 Cool-loops . 27 6 Scheduling and Thermal modeling 27 6.1 Introduction . -
Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective
Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective by James T. Pennington B.S. Mechanical Engineering (2011) University of Pittsburgh Submitted to the System Design and Management Program in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management at the Massachusetts Institute of Technology September 2020 © 2020 James T. Pennington All rights reserved The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Signature of Author ____________________________________________________________________ System Design and Management Program August 7, 2020 Certified by __________________________________________________________________________ Bruce G. Cameron Thesis Supervisor System Architecture Group Director in System Design and Management Accepted by __________________________________________________________________________ Joan Rubin Executive Director, System Design & Management Program THIS PAGE INTENTIALLY LEFT BLANK 2 Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective by James T. Pennington Submitted to the System Design and Management Program on August 7, 2020 in Partial Fulfillment of the Requirements for the Degree of Master of Science in System Design and Management ABSTRACT A major method of acquiring the rights to technology is through the procurement of intellectual property (IP), which allow companies to both extend their technological advantage while denying it to others. Public databases such as the United States Patent and Trademark Office (USPTO) track this exchange of technology rights. Thus, IP can be used as a public measure of value accumulation in the form of technology rights. -
INTEL CORPORATION (Exact Name of Registrant As Specified in Its Charter) Delaware 94-1672743 State Or Other Jurisdiction of (I.R.S
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 10-K (Mark One) þ ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the fiscal year ended December 29, 2018. or ¨ TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to . Commission File Number 000-06217 INTEL CORPORATION (Exact name of registrant as specified in its charter) Delaware 94-1672743 State or other jurisdiction of (I.R.S. Employer incorporation or organization Identification No.) 2200 Mission College Boulevard, Santa Clara, California 95054-1549 (Address of principal executive offices) (Zip Code) Registrant’s telephone number, including area code (408) 765-8080 Securities registered pursuant to Section 12(b) of the Act: Title of each class Name of each exchange on which registered Common stock, $0.001 par value The Nasdaq Global Select Market* Securities registered pursuant to Section 12(g) of the Act: None Indicate by check mark if the registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act. Yes þ No ¨ Indicate by check mark if the registrant is not required to file reports pursuant to Section 13 or Section 15(d) of the Act. Yes ¨ No þ Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. -
The GPU Computing Revolution
The GPU Computing Revolution From Multi-Core CPUs to Many-Core Graphics Processors A Knowledge Transfer Report from the London Mathematical Society and Knowledge Transfer Network for Industrial Mathematics By Simon McIntosh-Smith Copyright © 2011 by Simon McIntosh-Smith Front cover image credits: Top left: Umberto Shtanzman / Shutterstock.com Top right: godrick / Shutterstock.com Bottom left: Double Negative Visual Effects Bottom right: University of Bristol Background: Serg64 / Shutterstock.com THE GPU COMPUTING REVOLUTION From Multi-Core CPUs To Many-Core Graphics Processors By Simon McIntosh-Smith Contents Page Executive Summary 3 From Multi-Core to Many-Core: Background and Development 4 Success Stories 7 GPUs in Depth 11 Current Challenges 18 Next Steps 19 Appendix 1: Active Researchers and Practitioner Groups 21 Appendix 2: Software Applications Available on GPUs 23 References 24 September 2011 A Knowledge Transfer Report from the London Mathematical Society and the Knowledge Transfer Network for Industrial Mathematics Edited by Robert Leese and Tom Melham London Mathematical Society, De Morgan House, 57–58 Russell Square, London WC1B 4HS KTN for Industrial Mathematics, Surrey Technology Centre, Surrey Research Park, Guildford GU2 7YG 2 THE GPU COMPUTING REVOLUTION From Multi-Core CPUs To Many-Core Graphics Processors AUTHOR Simon McIntosh-Smith is head of the Microelectronics Research Group at the Univer- sity of Bristol and chair of the Many-Core and Reconfigurable Supercomputing Conference (MRSC), Europe’s largest conference dedicated to the use of massively parallel computer architectures. Prior to joining the university he spent fifteen years in industry where he designed massively parallel hardware and software at companies such as Inmos, STMicro- electronics and Pixelfusion, before co-founding ClearSpeed as Vice-President of Architec- ture and Applications. -
World Leader in Advanced Driver Assistance Technology And
Towards Autonomous Driving World Leader in Advanced Driver Assistance Technology and Autonomous Driving Nearly 70 vehicle models, 27 OEMs, 30 design wins (in 2016 there were 12 design wins) New Design Wins 2017 Main Features Tier Main Features Tier 1 1 AEB EUNCAP 2018, LDW Valeo AEB, LDW Hirain 30 Design Wins AEB, ACC, LKA ZF-TRW AEB, LDW, ACC Hirain AEB, VOACC, LKA ZF-TRW AEB, LDW, ACC Mando 27 OEMs AEB EUNCAP 2020, Traffic Jam Assist, Aptiv AEB, ACC, LKA Hirain Road Profile ~70 car models AEB, ACC, LKA, FreeSpce ZF-TRW LDW, FCW Hirain AEB, LKA Aptiv AEB, ACC, LKA, TJA Hirain AEB, ACC, HLB, FreeSpace Mando AEB, ACC, LKA, Lane Changes DIAS AEB, ACC, FreeSpace, Road Edge KSS AEB, LDW, ACC Hirain AEB, ACC, LKA, TSR Nidec AEB, LKA, ACC Hirain Base: L2/3 premium: L3/4 NIO AEB, ACC, LKA, Lane Changes KSS AEB, VOACC, Glare Free HB, 3D VD, ZF-TRW AEB, LDW, ACC Hirain REM AEB, pedal confusion, Enhanced LKA ZF-TRW AEB, LDW, ACC Hirain AEB EUNCAP 2020, Traffic Jam Assist, Valeo Full EUNCAP2020 compliance, Valeo Road Profile 3D VD, FreeSpce, Objects AEB, LDW Aptiv AEB, LKA, ACC ZF-TRW AEB EUNCAP 2020 & NHTSA, Road Magna L3, surround, Road Profile, REM Aptiv 2017 Review Program Launches 2017 Installed by 2017 year end GM Super Cruise Audi zFAS Nissan ProPilot OEM Launch Special Features Tier 1 GM CSAV2 AEB (fusion), LKA, HLB, TJA, Super Cruise™ ZF-TRW Audi AEB, LKA, HLB, RoadProfile, zFAS A8 Aptiv Ford AEB (fusion), LKA, HLB, TJA Aptiv HKMC AEB (fusion), LKA, HLB Mando PSA wave 2 AEB (vision only), VOACC, LKA, RoadProfile ZF-TRW Nissan Propilot (vision -
Reconfigurable Processor for Deep Learning in Autonomous Vehicles
ITU Journal: ICT Discoveries, Special Issue No. 1, 25 Sept. 2017 RECONFIGURABLE PROCESSOR FOR DEEP LEARNING IN AUTONOMOUS VEHICLES Yu Wang 1∗2∗, Shuang Liang3∗, Song Yao2∗,Yi Shan2∗, Song Han2∗4∗, Jinzhang Peng2∗ and Hong Luo2∗ 1∗Department of Electronic Engineering, Tsinghua University, Beijing, China 2∗Deephi Tech, Beijing, China 3∗Institute of Microelectronics, Tsinghua University, Beijing, China 4∗Department of Electrical Engineering, Stanford University, Stanford CA, USA "CTUSBDU The rapid growth of civilian vehicles has stimulated the development of advanced driver assistance systems (ADASs) to beequipped in-car. Real-time autonomous vision (RTAV) is an essential part of the overall system, and the emergenceofdeeplearningmethodshasgreatlyimprovedthesystemquality,whichalsorequirestheprocessortooffera computing speed of tera operations per second (TOPS) and a power consumption of no more than 30 W with programmability. Thisarticlegivesan overview of the trends of RTAV algorithms and different hardware solutions, and proposes a development route for thereconfigurable RTAV accelerator. We propose our field programmable gate array (FPGA) based system Aristotle, together with an all-stack software-hardware co design workflow including compression, compilation, and customized hardwarearchitecture. Evaluation shows that our FPGA system can realize real-time processing on modern RTAV algorithms with a higher efficiency than peer CPU and GPU platforms. Our outlookbasedontheASIC-basedsystemdesignandtheongoingimplementationofnextgenerationmemorywouldtargeta 100TOPSperformancewitharound20Wpower. Keywords - Advanced driver assistance system (ADAS), autonomous vehicles, computer vision, deep learning, reconfig- urable processor 1. INTRODUCTION If you have seen the cartoon movie WALL-E, you will re- member when WALL-E enters the starliner Axiom following Eve, he sees a completely automated world with obese and feeble human passengers laying in their auto driven chairs, drinking beverages and watching TV.