Speaker Details: Prof. Markus Gardill, University of Würzburg, Germany Talks Abstract: Radar systems are a key technology of modern vehicle safety & comfort systems. Without doubt it will only be the symbiosis of Radar, Lidar and camera-based sensor systems which can enable advanced autonomous driving functions soon. Several next generation car models are such announced to have up to 10 radar sensors per vehicle, allowing for the generation of a radar-based 360° surround view necessary for advanced driver assistance as well as semi-autonomous operation. Hence the demand from the automotive industry for high-precision, multi-functional radar systems is higher than ever before, and the increased requirements on functionality and sensor capabilities lead to research and development activities in the field of automotive radar systems in both industry and academic worlds. Current automotive radar technology is almost exclusively based on the principle of frequency-modulated continuous-wave (FMCW) radar, which has been well known for several decades. However, together with an increase of hardware capabilities such as higher carrier frequencies, modulation bandwidths and ramp slopes, as well as a scaling up of simultaneously utilized transmit and receive channels with independent modulation features, new degrees of freedom have been added to traditional FMCW radar system design and signal processing. The anticipated presentation will accordingly introduce the topic with a review on the fundamentals of radar and FMCW radar. After introducing the system architecture of traditional and modern automotive FMCW radar sensors, with e.g. insights into the concepts of distributed or centralized processing and sensor data fusion, the presentation will dive into the details of fast-chirp FMCW processing – the modulation mode which is used by the vast majority of current automotive FMCW radar systems. Starting with the fundamentals of target range and velocity estimation based on the radar data matrix, the spatial dimension available using modern single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) radar systems will be introduced and radar processing based on the radar data cube is discussed. Of interest is the topic of angular resolution – one of the key drawbacks which e.g. render Lidar systems superior to radar in some situations. Consequently, traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented, starting from traditional monopulse-like algorithms to modern frameworks for super resolution DoA estimation. The presentation will then introduce the great challenge of FMCW radar system interference. While FMCW radar interference is a challenge which can be handled using adaptive signal processing in today’s systems, it will become a severe problem with the increasing number of radar-sensors equipped vehicles in dense traffic situations in the near future and a solution to the expected increase in interference is still an open question.

Presented by Dr. Farzad Inanlou, CTO Radar and mmWave, AIM Business Unit, GlobalFoundries. Advanced safety features for ADAS and autonomous driving capabilities are two automotive megatrends. Radar is a key component to implementing such systems. This talk will review the attributes of key silicon technologies for mmWave radar applications. Specific design examples will be given that highlight the performance and integration capabilities of the technologies that meet the stringent requirements of automotive OEMs. The Linley Spring Processor Conference featured technical presentations on chips and IP for AI applications, embedded, data center, automotive, IoT, and communications. The conference also covered new CPU architectures, networking, memory, security, SoC design, AI training, and other processor-related topics. For more info on the Linley Spring Processor Conference 2021 you can visit our proceedings page: https://www.linleygroup.com/events/event.php?num=51 If you enjoyed this video, be sure to also check out: "Keynote: The Next Generation of AI Processors - Linley Gwennap, The Linley Group" https://www.youtube.com/watch?v=Ke7hv3FPzi4 "Tenstorrent: Neurons, NAND Gates, or Networks: Choosing an AI Compute Substrate" https://www.youtube.com/watch?v=ME-6uxSoVm0 "Groq Rocks Neural Networks: The Architecture Story" https://www.youtube.com/watch?v=GwBNV2o_ttc "Achronix: Massive Edge Computing Opportunity and the Fourth FPGA Wave" https://www.youtube.com/watch?v=tQezG9H9qbE

Pu (Perry) Wang presented his paper titled "Slow-Time MIMO-FMCW Automotive Radar Detection with Imperfect Waveform Separation," for the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), held virtually May 4-8 2020. The paper was co-authored with MERL researchers Petros T. Boufounos, Hassan Mansour, and Philip V. Orlik. Paper: https://ieeexplore.ieee.org/document/9053892 https://www.merl.com/publications/docs/TR2020-039.pdf ABSTRACT: This paper considers object detection in the case of imperfect waveform separation, in the context of automotive radars with a slow-time MIMO-FMCW signaling scheme. We develop an explicit signal model that accounts for waveform separation residuals due to sub-band Doppler mismatch and propose a Kronecker subspace-based object detector in the framework of generalized likelihood ratio test (GLRT). Our exact theoretical analysis under both hypotheses shows that the proposed detector holds the desired property of constant false alarm rate (CFAR). Numerical simulations validate our proposed object detection scheme.

NXP’s complete automotive radar system solution for cars enables a wide range of automotive safety applications, including Adaptive Cruise control (ACC), Autonomous Emergency Braking (AEB), Blind Spot Detection (BSD) and Lane Change Assist (LCA). Find out more: https://www.nxp.com/applications/automotive/adas-and-highly-automated-driving/automotive-radar-systems:RADAR-SYSTEMS?tid=vanradar #AutomotiveRadar #RadarSensor #NXP #CarRadar #RadarSolution #Radar #RadarTechnology #CarRadarSensor #NXP #NXPRadarSensor #NXPSemiconducters ▬ NXP automotive radar technology▬▬▬▬▬▬▬▬▬▬▬▬ Radar is a core ADAS technology for enhancing safety and convenience. NXP provides a scalable portfolio of highly integrated, safe and secure family of products for the complete range of automotive radar applications for NCAP and beyond. ▬ Complete radar sensor system solution▬▬▬▬▬▬▬▬▬▬▬▬ System designers require a portfolio of scalable, streamlined and highly-integrated processing platform that strikes the optimal balance of compute agility and power efficiency for the next-generation of radar solutions which can be paired together with high performance radar transceivers with very small form factor. Coupled with NXP’s complete solution offering of PMIC, CAN, Ethernet and Flexray products, NXP eases time of development for engineers when developing scalable solutions to meet the next generation safety requirements and applications ▬ Complete radar sensor system solution▬▬▬▬▬▬▬▬▬▬▬▬ Adaptive Cruise Control (ACC) Autonomous Emergency Brake (AEB) Blind Spot Detection (BSD) Cascaded Imaging Radar (IMR) Front/Rear Cross-traffic-Functions (FCTA/RCTA) Lane Change Assistance (LCA) Parking assist (PA) Radar 360° perception Reverse-Autonomous Emergency Braking (R-AEB) ▬ About NXP▬▬▬▬▬▬▬▬▬▬▬▬ NXP Semiconductors N.V. enables secure connections for a smarter world, advancing solutions that make lives easier, better, and safer. As the world leader in secure connectivity solutions for embedded applications, NXP is driving innovation in the automotive, industrial & IoT, mobile, and communication infrastructure markets. ▬ More Videos ▬▬▬▬▬▬▬▬▬▬▬▬ ► Imaging Radar: https://www.youtube.com/watch?v=_g6GL3ga2Bc ► Corner Radar: https://www.youtube.com/watch?v=1gStiHdd58k ► Importance of Radar: https://www.youtube.com/watch?v=rWg9nIeZP1U ► All videos: https://www.youtube.com/c/NXPDesignwithus/videos ▬ Subscribe ▬▬▬▬▬▬▬▬▬▬▬▬ Subscribe to NXP: https://www.youtube.com/c/NXPDesignwithus ▬ Social Media & Website ▬▬▬▬▬▬▬▬▬▬▬▬ ► Facebook: https://www.facebook.com/nxpsemi ► LinkedIn: https://www.linkedin.com/company/nxp-semiconductors/ ► Twitter: https://twitter.com/nxp ► Website: https://www.nxp.com/ ►NXP’s Smarter World Blog: https://www.nxp.com/company/about-nxp/smarter-world-blog/

Mark Jacobson Toyota in Durham, North Carolina! 4516 Durham Chapel Hill Blvd. Durham, NC 27707. 800-643-6236. http://www.markjacobsontoyota.com #1 Based on retail sales of Toyota passenger cars in North Carolina for 2015 & 2016 per Southeast Toyota Distributors

Radar technology is rapidly evolving and helps to make our roads safer. With the SAF85xx automotive one-chip radar SoC for short, medium, and long-range radar applications, we enable small form factor sensors to bring radar technology into mainstream ADAS and autonomous driving applications. Explore how dynamic 4D-sensing is made possible by its four transmitters and four receivers, combined with a powerful multi-core compute engine. The increased channel count enhances the resolution of the sensor. This is essential for object detection and separation – sensing more vulnerable road users such as pedestrians, cyclists and pets. ▬ Learn more ▬▬▬▬▬▬▬▬▬▬▬▬ https://www.nxp.com/saf85xx https://www.nxp.com/docs/en/fact-sheet/SAF85xxFS.pdf https://www.nxp.com/radar ▬ Video Chapters ▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 Introduction 00:37 SAF85xx one-chip radar SoC and use cases 01:30 4D sensing enabled by the SAF85xx 01:56 Object Detection and Separation 02:19 SAF85xx enabled Radar sensor by smartmicro ▬ Subscribe ▬▬▬▬▬▬▬▬▬▬▬▬ ► Subscribe to NXP: https://www.youtube.com/c/NXPDesignwithus?sub_confirmation=1 ▬ More Videos ▬▬▬▬▬▬▬▬▬▬▬▬ ► All videos: https://www.youtube.com/c/NXPDesignwithus/videos ▬ Social Media & Website ▬▬▬▬▬▬▬▬▬▬▬▬ ► Facebook: https://www.facebook.com/nxpsemi ► LinkedIn: https://www.linkedin.com/company/nxp-semiconductors/ ► Twitter: https://twitter.com/nxp ► Website: https://www.nxp.com/ ► NXP’s Smarter World Blog: https://www.nxp.com/company/about-nxp/smarter-world-blog:BLOGS ▬ About NXP▬▬▬▬▬▬▬▬▬▬▬▬ NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 31,000 employees in more than 30 countries and posted revenue of $11.06 billion in 2021. Find out more at www.nxp.com

TestConX. 2021 https://www.testconx.org/premium/testconx2021/ "Production Wafer Probe of 77-81 GHz Automotive Radar Applications" Jason Mroczkowski Cohu

Check out this Financial Times automotive ADAS panel at Future of the Car Summit 2020. Torsten Lehmann of NXP, Glen De Vos of Aptiv and Matt Markel of Waymo delve into how recent advances in automotive radar are reshaping the way vehicles “see” the environment around them. Learn how radar is evolving and the differences in its implementation between mass production OEMs or a companies at the frontier of Autonomous driving. See how this rapidly evolving technology promises to transform safety on the roadways of the world. Follow us on: LinkedIn - https://www.linkedin.com/company/nxp-semiconductors Twitter - https://twitter.com/NXP facebook - https://www.facebook.com/nxpsemi/

Radar systems are a key technology of modern vehicle safety & comfort systems. Without doubt it will only be the symbiosis of Radar, Lidar and camera-based sensor systems which can enable advanced autonomous driving functions soon. Several next generation car models are such announced to have up to 10 radar sensors per vehicle, allowing for the generation of a radar-based 360° surround view necessary for advanced driver assistance as well as semi-autonomous operation. Hence the demand from the automotive industry for high-precision, multi-functional radar systems is higher than ever before, and the increased requirements on functionality and sensor capabilities lead to research and development activities in the field of automotive radar systems in both industry and academic worlds. Current automotive radar technology is almost exclusively based on the principle of frequency-modulated continuous-wave (FMCW) radar, which has been well known for several decades. However, together with an increase of hardware capabilities such as higher carrier frequencies, modulation bandwidths and ramp slopes, as well as a scaling up of simultaneously utilized transmit and receive channels with independent modulation features, new degrees of freedom have been added to traditional FMCW radar system design and signal processing. The anticipated presentation will accordingly introduce the topic with a review on the fundamentals of radar and FMCW radar. After introducing the system architecture of traditional and modern automotive FMCW radar sensors, with e.g. insights into the concepts of distributed or centralized processing and sensor data fusion, the presentation will dive into the details of fast-chirp FMCW processing – the modulation mode which is used by the vast majority of current automotive FMCW radar systems. Starting with the fundamentals of target range and velocity estimation based on the radar data matrix, the spatial dimension available using modern single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) radar systems will be introduced and radar processing based on the radar data cube is discussed. Of interest is the topic of angular resolution – one of the key drawbacks which e.g. render Lidar systems superior to radar in some situations. Consequently, traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented, starting from traditional mono pulse-like algorithms to modern frameworks for super -resolution DoA estimation. The presentation will then introduce the great challenge of FMCW radar system interference. While FMCW radar interference is a challenge which can be handled using adaptive signal processing in today’s systems, it will become a severe problem with the increasing number of radar-sensors equipped vehicles in dense traffic situations in the near future and a solution to the expected increase in interference is still an open question. It is this problem of interference, together with some added functionality, which motivated the proposal of alternative radar waveforms such as pseudo-random or orthogonal-frequency division multiplexing (OFDM) radar for automotive radar systems. Although not yet of great interest from an industrial perspective, the fundamentals and capabilities of both technologies will be introduced in the remainder of the anticipated presentation..

In this session, Maarten Kelderman, Director R&D IT Design Infrastructure at NXP Semiconductors, talks about their adoption of AWS for running chip design workloads on the Cloud. You will hear about NXP’s design infrastructure journey, learn about the HPC architecture NXP uses to support chip design projects, NXP’s motivation to move to the Cloud, and their Cloud journey so far. Speaker(s): Wajahat Aziz, Senior ML/HPC Research SA, AWS & Maarten Kelderman, Head of R&D Infrastructure, NXP Learn more about AWS for Semiconductor - https://go.aws/3qdTIQK Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWS #AmazonWebServices #CloudComputing #Semiconductor #ChipDesign #EDA

Sanjay Gupta, Vice President & India Country Manager at NXP Semiconductors talk about unique 4+1 architecture developed by NXP for Autonomous Vehicles including Electric Vehicles. The session covered topics like What architectures are needed for driver replacement in autonomous vehicles? What are the challenges to autonomous driving? He shared perspective on these topics and NXP’s latest developments to accelerate the path towards autonomous driving. Sanjay was interviewed by Ajay Sharma, Founder, Get Me Experts. Who also worked in Semiconductor domain in Cadence, Xilinx, ST- Ericsson and Ericsson Modem. About Get Me Experts: Get Me Experts is a global platform to find expert consultants in various areas of the business process for advisory services, short-term deployment as well as for market research assignments for investments. To know more, Visit https://www.getmeexperts.com/ Email: media@getmeexperts.com Facebook: https://www.facebook.com/Getmeexperts/ Twitter: @get_me_experts Linkedin: https://www.linkedin.com/company/get-me-experts Video Sharing Site: http://tv.gme.network

Charlie Ice, from NXP Semiconductor's Wireless Connectivity Marketing, reveals what's special about the recently announced merging of Kinetis and LPC microcontrollers into the new MCX Family. For more information, click here: https://www.futureelectronics.com/resources/events/embedded-world-2022 ------------------------------------------------------------------------------ About Future Electronics: https://www.futureelectronics.com Follow us on LinkedIn: https://www.linkedin.com/company/future-electronics Follow us on Twitter: https://twitter.com/futureelec

NXP Semiconductors NV is a holding company, which engages in the provision of semiconductor solutions. It focuses on high performance mixed signal (HMPS), which delivers high performance mixed signal solutions to its customers to satisfy their system and sub-systems needs across the application areas such as automotive, identification, mobile, consumer, computing, wireless infrastructure, lighting and industrial, and software solutions for mobile phones. Its products include Arm Processors, Arm MCUs, and Power Architecture. The company was founded on August 2, 2006 and is headquartered in Eindhoven, the Netherlands. This video is created and published for informational and entertainment purposes only. The information in the video presents Content Creator’s own opinions and it should not be regarded as a description of services. The opinions expressed in the video are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in the commentary are subject to change at any time without notice. Nothing in the video constitutes investment advice, performance data or any recommendation that any security, portfolio of securities, investment product, transaction or investment strategy is suitable for any specific person. I cannot assess anything about your personal circumstances, your finances, or your goals and objectives, all of which are unique to you, so any opinions or information contained in the video are just that – an opinion or information. You should not use my video to make financial decisions and I highly recommended you seek professional advice from someone who is authorized to provide investment advice.

Building Multi-protocol IoT Nodes with Thread, BLE and ZigBee - Alin Lazar, NXP Semiconductors Building Multi-protocol IoT Nodes with Thread, BLE, and ZigBee (Alin Lazar, NXP Semiconductors) - As radio transceivers for the IoT become more integrated, there are still multiple low power wireless network technologies vying for attention. This presentation shows developers how to build IoT systems with less compromise leveraging multiple protocols and opening a path to better convergence for the wireless IoT. Alin Lazar will introduce an architectural overview of multi-protocol systems, then will work with attendees to build and deploy example micro-controller firmware and the required embedded Linux infrastructure for such networks. About Alin Lazar Software Engineering Manager Experience: * Software Engineering Manager at NXP Semiconductors * Previously Software and Systems Engineering with Freescale Semiconductor * Vice-chair of the Thread Group Technical Committee * Focusing on low power wireless networks (Thread, ZigBee, BLE) systems and open standards development Speaking: * Held various software and systems training workshops for NXP and Freescale on Low Power Wireless (Thread, ZigBee) * Latest talk held at Wireless Congress Munich (Nov 2016): "Introduction on Thread Layers and Commissioning"

Sebastian Laurijsse, Sr. Director, IT Infrastructure Services at NXP Semiconductors joins Dave Vellante & Rebecca Knight from theCUBE at ServiceNow 2018 in Las Vegas, NV #Know18 #theCUBE https://siliconangle.com/2018/05/11/ai-changes-workforce-people-still-needed-know18/ As AI changes the workforce, more people are still needed It’s no shock that the workforce is changing. As artificial intelligence and machine learning continue to take off, people often become afraid of losing their jobs or having robots replace them. Yet the future is brighter than people might expect. “Automation, machine learning will extensively change the whole way of working,” said Sebastiaan Laurijsse (pictured), senior director of IT infrastructure services at NXP Semiconductors N.V. “But we still need more and more people.” Laurijsse spoke with Dave Vellante (@dvellante) and Rebecca Knight (@knightrm), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at theServiceNow Knowledge event in Las Vegas. They discussed machine learning and alleviating fears around the changing workforce. (* Disclosure below.) Calming fears around AI in the workforce While machine learning is the inevitable progression of the future, and many jobs will become more automated, this isn’t a true need of concern for people, according to Laurijsse. Why? Because people will always be the important link between data and innovation. “The innovation, of course, comes from a lot of data, but still have people who connect the dots of never existing connections before,” Laurijsse said. “If you have a lot of data and you don’t know which question to ask, would you build a new solution? So it’s still about smart people and creativity.” Implementing automation and machine learning into companies doesn’t have to be driven by fear, Laurijsse pointed out. “It’s about building a joint incentive between your … workforce. What’s the incentive for them on automation?” As AI and machine learning become more and more a part of a company’s culture, then AI and machine learning can help support the culture instead of take away from it, Laurijsse added. “It’s about orchestrating the future way of working,” he concluded. Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the ServiceNow Knowledge 2018 event. (* Disclosure: TheCUBE is a paid media partner for ServiceNow Knowledge 2018. Neither ServiceNow Inc., the event sponsor, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

NXP Semiconductors NV (NASDAQ: NXPI) Q2 2021 earnings call dated Aug. 03, 2021 Corporate Participants: Jeff Palmer — Vice President, Investor Relations Kurt Sievers — President and Chief Executive Officer Peter Kelly — Executive Vice President and Chief Financial Officer Analysts: CJ Muse — Evercore — Analyst Vivek Arya — Bank of America Merrill Lynch — Analyst Stacy Ragson — Bernstein — Analyst Ross Seymore — Deutsche Bank — Analyst John Pitzer — Credit Suisse — Analyst Will Stein — Truist — Analyst Toshiya Hari — Goldman Sachs — Analyst Chris Caso — Raymond James — Analyst Blayne Curtis — Barclays — Analyst Presentation: Operator Good day, and thank you for standing by. Welcome to NXP’s 2Q ’21 Earnings Conference Call. [Operator Instructions] I would now like to hand the conference over to your speaker today, Mr. Jeff Palmer, Senior Vice President of Investor Relations. Please go ahead, sir. Jeff Palmer — Vice President, Investor Relations Thank you, Crystal, and good morning, everyone. Welcome to the NXP Semiconductor’s second quarter 2021 earnings call. With me on the call today is Kurt Sievers, NXP’s President and CEO; and Peter Kelly, our CFO. The call today is being recorded and will be available for replay from our corporate website. Today’s call will include forward-looking statements that involve risks and uncertainties that can cause NXP’s results to differ materially from management’s current expectations. These risks and uncertainties include, but are not limited to, statements regarding the continued impact of the COVID-19 pandemic on our business, the macroeconomic impact on specific end markets in which we operate, the sale of new and existing products and our expectations for the financial results for the third quarter of 2021. Please be reminded that NXP undertakes no obligation to revise or update publicly any forward-looking statements. For a full disclosure of forward-looking statements, please refer to our press release. Additionally, we will refer to certain non-GAAP financial measures, which are driven primarily by discrete events that management does not consider to be directly related to NXP’s underlying core operating performance. Pursuant to Regulation G, NXP has provided reconciliations of the non-GAAP financial measures to the most directly comparable GAAP measures in our Q2 earnings press release, which will be furnished to the SEC on Form 8-K and available on NXP’s website in the Investor Relations section at nxp.com. Before we start the call today, I’d like to highlight our upcoming 2021 Analyst Day. At this time, we are planning on hosting an in-person event in New York City on Thursday, November 11, 2021. We will open up an online registration site over the next week, and we would suggest interested parties to pre-register as space will be limited this cycle. I would like to now turn the call over to Kurt. To read the full earnings call transcript , please click the below link provided https://news.alphastreet.com/nxp-semiconductors-nv-nxpi-q2-2021-earnings-call-transcript/ Access earnings conference call transcripts at: https://news.alphastreet.com/earnings-call-transcripts/ Earnings Infographics: https://news.alphastreet.com/infographics/ Earnings Calendar: https://news.alphastreet.com/earnings-calendar/ CEO Interviews: https://news.alphastreet.com/interviews/ Listen on: https://podcasts.apple.com/us/podcast/the-earnings-podcast-from-alphastreet/id1535892241?uo=4 https://anchor.fm/earningspodcast/ https://open.spotify.com/show/67gyUX6kl1lpewQcWDvHJ0 https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy8zODY2ZmUwOC9wb2RjYXN0L3Jzcw== https://radiopublic.com/the-earnings-podcast-from-alphast-Gq2Bpo Follow us on: https://twitter.com/AlphSt_Live https://twitter.com/_AlphaStreet https://www.facebook.com/AlphaStreetinc https://www.linkedin.com/company/alphastreet http://www.google.com/news/s/CAowj7D0Cg https://apple.news/TZOi1Q735Ty-T4dxalibGNw Subscribe this channel to listen to earnings call audios

NXP is the leader in innovative high-performance mixed-signal solutions which, combined with deep application insight, enable the secure connections needed for a smarter world.

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"The Zephyr® Project strives to deliver the best-in-class RTOS for connected resource-constrained devices, built to be secure and safe. Click here to learn more: https://www.zephyrproject.org BoF: Quality and Testing Processes for Zephyr + Discussion - David Leach, NXP Semiconductors Speakers: David Leach Join this session to discuss the current state of Zephyr in terms of software quality and testing. We will explore how Zephyr currently runs quality checks on the code base, discuss how to leverage independent community test data, and identify gaps and opportunities for improvement. If you have an interest in quality, this discussion is for you." Presentation Slides: https://bit.ly/3Sweoj8

Proving RISC-V Security Model Compliance with SESIP - Eve Atallah, NXP Semiconductors This presentation introduces the Security Evaluation Standard for IoT Platform (SESIP) methodology, main principles and benefits, and shows how it supports efficient compliance assessment of RISC-V platforms to the security requirements of the RISC-V Platform Security Model, and how the produced results can be reused for compliance demonstration to further standards at SoC or device level, optimizing the efforts. SESIP is indeed a methodology for assessment of correct and robust implementation of security requirements for IoT Platforms, defining a simple evaluation process strongly focused on vulnerability analysis to take into consideration the IoT ecosystem needs for optimized costs, timelines and resources. SESIP can be applied to individual components of IoT Platforms, composition between components, or directly to a full IoT Platform. RISC-V platforms are typical components of IoT Platforms for which security confidence demonstration is expected. Adoption of the industry-standard SESIP (https://globalplatform.org/sesip/) for compliance assessment to RISC-V Platform Security Model requirements produces those necessary evidences with reasonable and affordable efforts.

DOES19 London — Why is the high-tech industry so underrepresented in agile transformations stories? How can CybSec lead the way in transparency and collaboration? Why can't you win arguments for a new wow based on arguments and opinions? How can you make work more fun for long-term highly-skilled professionals? Saki Arkoudopoulos, Portfolio Manager Cyber Security, NXP Semiconductors Saki is an experienced and certified Portfolio and Program Manager with a focus on organization design, leadership, culture and engagement. After serving customers as a global strategic outsourcing program manager for nearly 10 years, he has found his next passion. His success in guiding client/vendor relationships, global strategies and management is driven by a relentless passion for creating spaces in which people thrive and unleash themselves. DOES19 London DOES 2019 EUR DevOps Enterprise Summit https://events.itrevolution.com/eur/

Since 1974

Mr. Ashok Chandak, Senior Director, NXP Semiconductors, India, speaking on "Semi-conductor And System Security For A Connected Transport" at Connected Transport Conference of AutoNebula.

http://www.collab.net/ Hear how NXP Semiconductors utilizes the Cloud and DevOps strategies to accelerate software delivery and increase productivity throughout the organization. Ramon Baas of NXP shares they have implemented CollabNet TeamForge platform for their R&D community where they can share data and work together. http://www.collab.net/products/teamforge

p3com, not Another Middleware Jakub Sosnovec NXP Semiconductors 00:02 BlueBox 3.0 Development 03:58 The Middleware wars 05:04 p3com 11:29 p3comRT 12:45 Integration with SDV Ecosystem Stay connected with SOAFEE: https://soafee.io/ https://www.linkedin.com/company/soafee/ Stay connected with Arm: Website: http://arm.com/ Twitter: https://twitter.com/arm Facebook: https://www.facebook.com/Arm/ LinkedIn: https://www.linkedin.com/company/arm Instagram: https://www.instagram.com/arm/