Paired with its cameras, the sensors will help vehicles see more of their surroundings. Mobileye said the EyeQ 6H, which will be the most advanced driver assistance chip in the family when it becomes widely available, will have three times more performance than its EyeQ 5 while only burning through 25% more power, giving it a boost for carrying out AI chores in cars. 2 0 obj Mobileye also introduces the next-generation EyeQ system-on-chip (SoC) for advanced driver-assistance systems (ADAS): EyeQ6L and EyeQ6H. We already have all radar processing run together with advanced camera processing on a single EyeQ3 (EyeQ5 is expected to be ~50-60 times stronger than EyeQ3) in production (e.g. Designed to make consumer AVs accessible, EyeQ Ultra fills a void in the automotive market as the EyeQ family of SoCs has done before it. Described as a single package AV-on-chip supercomputer, Mobileye's EyeQ Ultra driving touts a maximum performance and efficiency at 176 TOPS. The autonomous driving giant is also developing in-house lidar sensors to complement the radar systems it is also building in-house. Mobileye, Intel Corp's Israel-based autonomous driving unit, . But what exactly are those cores inside EyeQ5 processing? The Mobileye tech will include six of its EyeQ5, or fifth generation, system on chips, which will be used to process incoming data from sensors as well as incorporate the company's branded . Intel acquired Mobileye in 2017 for approximately $15.3 billion. What sort of bus does it support and how is that bus protected? If so, is it Mobileyes DSP or is it licensed from elsewhere? If so, why are the two giants fighting tooth and nail to one-up on each other with their SoC specs? } NEWS HIGHLIGHTS. But he sees an even a bigger issue in that nobody is comparing a platform to a platform today, in autonomous vehicle solutions. The EyeQ5 will contain eight multithreaded CPU cores coupled with eighteen cores of Mobileye's next-generation, well-proven vision processors, explained Marco Monti, ST's EVP, Automotive and Discrete Group. (Mr|3xw?-Hv%1W]qnA)Ue(;8tc 40O7&}mk s=VL"]46`,Z`b=^5u55] W0ezx}h/PRjgT$=WiNd'>*#UV28u8DT?M5}"e4:xMi]+VFL+Mg~nzs \) . Mobileye is also keeping costs in check by cramming more performance in a single monolithic chip. Home AI Intels EyeQ 5 vs. Nvidias Xavier: Wrong Debate. This diversity of accelerator architectures enables applications to save both computational time and energy by using the most suitable core for every task. Mobileye introduces EyeQ Ultra a single package AV-on-chip super-computer that is purpose-built for end-to-end autonomous driving. First silicon for the EyeQ Ultra is expected in late 2023 with full automotive-grade production in 2025. Mike Demler, senior analyst at the Linley Group, agreed. [WlK]4dgx6e 0-ytWUQ~*g3%'bh: Mobileye said it has also agreed to supply its road-mapping data to Ford and Volvo. When Mobileye announced EyeQ5, the company casually mentioned its support for an autonomous-grade standard operating system. Exactly whose OS is Mobileye referring to? the only scalable automotive-grade SoC that can truly address the EyeQ Ultra integrates the performance of 10 EyeQ5s in one package. Unveiled at CES 2022, EyeQ Ultra maximizes both effectiveness and efficiency, making it the industry's leanest autonomous vehicle chip. From general-purpose CPU cores to high compute density Technical Details EyeQ5s proprietary accelerator cores are optimized for a wide variety of computer-vision, signal-processing, and machine-learning tasks, including deep neural networks. We recommend moving this block and the preceding CSS link to the HEAD of your HTML file. Pleaselog in to show your saved searches. Mobileye recently shipped its100 millionth EyeQ SoC, unveiled its production robotaxi, andscaled its autonomous vehicle testingacross multiple cities around the world including in the U.S., Europe and Asia. Unveiled at CES 2022, EyeQ Ultra maximizes both effectiveness and efficiency, making it the industrys leanest autonomous vehicle chip. EyeQ is a kernel module that implements a queueing discpline. Mobileye, an Intel company, is already trusted in the automotive world by by 25+ global automakers including Audi, BMW, FCA, General Motors, and more. Y~S"\!T"*B*rUa!bd4e[GooZq]~Y_P?_~]&L1GS~uaG*is=Si/LJ.r5"z+udhwN\NofUl'bp*xb9v{Xv3#j,MxsqUqtac'(|c[$*J7Rod-JWq`ER7-)!xW]UTD[GU@v{PZ\424RI0UId$D)C\,.A },>5VHhKQV d^Z>}_gwyIQ@seW2z`E#XYu+9@4{H]-cD%v2x- creyW:Vir4ujU)O Unveiled at CES 2022, the EyeQ Ultra aims to provide enough processing power for what experts call "Level 4" autonomous driving, which means that cars can operate in self-driving mode in most, but not all, situations. Our products are also available in the aftermarket. %PDF-1.6 % endstream endobj 118 0 obj <>stream Mobileye began testing it last year it is expected to reach production by mid-2023. for a basic account. When Ford transitioned from Intel microcontrollers to Motorola, Intel lost presence in the automotive market. But the company offered no details on TOPS or watts on the entire platform available yet. - Interface with cross-functional teams to understand the Requirements and implement the Software The root of trust is created based on a secure boot from an encrypted storage device. www.electronicdesign.com is using a security service for protection against online attacks. How much data analysis is each sensor expected to do before sending data to the master ECU? EyeQ5L4. McGregor reminded us that Intel was once the dominant supplier of microcontrollers to Ford Motors. \uPP42R\P36w+B4,^{p At CES, the automotive chip giant also announced a pair of 7-nm processors for ADAS: the EyeQ 6L and EyeQ 6H. EyeQ Ultra utilizes an array of four classes of proprietary accelerators, each built for a specific task. You must Register or Our proprietary software algorithms and EyeQ chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye already sells a package of hardware and software that can add a Level 4 self-driving mode to cars, but it uses several chips that are too power-hungry for cars suited for consumers. unparalleled performance, while requiring fewer TOPS and % Both EyeQ4 and EyeQ5 can support both goals specific vision processing, as well as master ECU, he added. Intel, which is trying to raise funds to build chip-making fabs and close the gap with TSMC and other rivals that ended Intel's chip-making leadership, said that it plans to retain a majority stake in the company after Mobileye's IPO sometime in 2022. This one-box windshield solution delivers more deep-learning TOPS at ultra-low power for highly efficient entry and premium (L2) ADAS. NXP Packs All In-Car Wireless Connectivity into One Box, Integrated Power Loss Brake Features Lower Energy Consumption and Reduce Costs in Data-Center Fan Applications, By Chengyi Jin, Principal Systems Design Engineer. Public works departments, utility companies and transportation authorities can: Automate inventory surveys with rapid, real-time asset data collection, Save time & money when planning maintenance programs with accurate asset mapping, Prioritize inspection and renewal programs with asset change detection notifications. The deal for the advanced driver assisted systems will begin in 2021, when Intel's EyeQ5 chip, which is designed for fully . All rights reserved. Autonomous driving requires an unprecedented level of focus on functional safety. Mobileye said prototypes of the Ultra will be ready in 2023, with full automotive-grade production set in 2025. New York City joins a number of . Lets discuss your challenges and how we can assist you with up-to-date GIS data of road infrastructure assets, pavement conditions and mobility. Features include any-angle vehicle detection and lane detection. Supporting REM mapping and localization to provide L2+ LAS VEGAS - Intel's autonomous driving subsidiary Mobileye announced three new generations of its EyeQ system-on-a-chips (SoCs), which are purpose-built for autonomous vehicles (AVs), at this year's Consumer Electronics Show (CES) in Las Vegas: The EyeQ Ultra, the EyeQ6 High and the EyeQ6 Low. There are also GPU, vision processing and image signal. %PDF-1.4 functionalities, Supporting REM mapping and localization to provide L2+ We have 15,000 miles of water mains and 18,000 miles of sewers; it's incredibly time consuming and costly to maintain maps of our assets as they grow and change. Now, Intel is counting on its $15 billion Mobileye acquisition to redeem itself in the automotive world. The chip, which fits inside a 50% smaller package than its predecessor, brings more performance to run advanced camera-based safety features such as automatic emergency braking (AEB) and lane control. It is expected out next month, according to Shashua. Click here. */. <> Technology SeeQ Single Board Automotive Vision System An advanced stand-alone camera and vision processing module for automotive applications Features Highlights Mobileye's SeeQ offers a compact and powerful processing Compact platform for computationally platform for computationally intensive real time visual recognition and scene interpretation applications. Intel strongarm sa-110 microprocessor. To meet power consumption and performance targets, the EyeQ5 will be designed in advanced 10nm or below FinFET technology node and will feature eight multithreaded CPU cores coupled with eighteen cores of Mobileye's next-generation, innovative, and well-proven vision processors. While it previously paired its chips with its homegrown software, sensors, and apps in a "black box", Mobileye said that it uncoupled the software and hardware in the EyeQ Ultra chip to give its customers more flexibility. The answer is that, while they are still in an early phase of the autonomous vehicle technology battle, neither company wants it said that their solution consumes too much power or is less capable than their rival. Autonomous driving requires fusion processing of dozens of sensors, including high-resolution cameras, radars, and LiDARs. This most advanced ADAS SoC in the EyeQ family will begin sampling this year and is due to begin production by the end of 2024. Integrating such a system in a single SoC will improve its cost and energy efficiency, which also allows it to run cooler. Utilizing the right mixture of accelerators to match the Both EyeQ6 SoCs will be manufactured on 7nm process technology. The EyeQ Ultra can be paired with a separate microcontroller (MCU) for ASIL-D systems, Mobileye said. Mobileye has built the EyeQ5's security defenses based on the integrated Hardware Security Module. First silicon for the EyeQ Ultra is expected in . Krzanich claimed that EyeQ 5 designed by Intel subsidiary Mobileye can deliver more than twice the deep-learning performance efficiency than Nvidias Xavier SoC. endobj As an extension of the EyeQ family, EyeQ Ultra will also be informed by Mobileyes Road Experience Management (REM) mapping technology. Leveraging its substantial experience in automotive-grade designs, ST will support state-of-the-art physical implementation, specific memory and high-speed interfaces, and system-in-package design to ensure the EyeQ5 meets the full qualification process aligned with the highest automotive standards. INTRODUCTION. Enriching our customers GIS platform with dynamic mobility datasets per road segment. Mobileyes proven EyeQ architecture lays the foundation for EyeQ Ultra. with its intended software needs in mind. Mobileyes technology uses a single camera to scan the road ahead, identify potential hazards and alert drivers. It also wins on power efficiency, he claimed. The EyeQ5 continues Mobileyes long-standing cooperation with STMicroelectronics. ST will also contribute to the overall safety- and security-related architecture of the product. Accommodat, 3 ways MCUs are addressing common design challenges of 800-V EV traction inverters, The electric vehicle (EV) traction inverter is the core of the EV. 2 0 obj The MP86905 is a monolithic IC approach to drive up to 50A of current per-phase. Unveiled at CES 2022, the EyeQ6L will be the successor to the EyeQ4 SoC in a package that is just 55 percent the size of the EyeQ4. China's Geely Auto Group will deploy Mobileye's "full stack," 360-degree camera-only ADAS solution to power Level 2+ electric vehicles, starting in 2021. The Ultra will be priced at less than $1,000 when it is widely available to auto makers, Mobileye said. 24-V, 3-, 2-, and 1-Phase Step-Down Driverless Controller for Automotive ADAS Applications Data Sheet. Leveraging this same technology, Mobileyes EyeQ chip and algorithms have been trained to identify, tag and classify any road assets, as equipped vehicles passenger and fleet vehicles go on their regular route. Mobileye has built the EyeQ5s security defenses based on the integrated Hardware Security Module. The chip includes 64 such cores, including 16 convolutional neural network (CNN) accelerators. It features 12 CPU cores with 24 threads based on RISC-V archictecture. By signing in, you agree to our Terms of Service. Description. // No product or component can be absolutely secure. The MP86957 is a monolithic IC approach that can drive up to 70A per phase. Departments of transportations, road operators and road maintenance experts can: Assess, monitor & improve pavement quality with real-time data on road conditions, Expedite pavement operations with accurate localization of surface distress, Identify the roads that require immediate attention. There is no simple answer, since in reality there will be some level of low level processing done in the sensor in parallel to sending some of the low level information to the central ECU, said Rushinek. These accelerators are paired with additional CPU cores, ISPs and GPUs in a highly efficient solution capable of processing input from two sensing subsystems one camera-only system and the other radar and lidar combined as well as the vehicles central computing system, the high-definition map and driving policy software. background-color: #003352 !important; You can easily search the entire Intel.com site in several ways. *>X0wO;wOWG f}" {#N $)4zF})%}E*m_P6bTvSj$\}N!aJac,SL2FnT}rjc/eK}w*\l9pznM:hjszM,eH7VC[ DownloadTraceability as a Productivity Tool. About STMicroelectronics ST is a global semiconductor leader delivering intelligent and energy-efficient products and solutions that power the electronics at the heart of everyday life. Engineering samples of EyeQ5 are expected to be available by first half of 2018. Reducing power is growing in importance for electric vehicles as self-driving systems will have to run off the same battery as the powertrain. (Credit: Mobileye, an Intel Company). The service requires full JavaScript support in order to view this website. Dont have an Intel account? Gathered via millions of vehicles on the road already equipped withMobileye, REM captures packages of road data to create the Mobileye Roadbook, which is accessed via the cloud to provide, in real time, up-to-date information on the drivable paths ahead. The Mobileye technology really changes the game [] and this is helping us manage our networks and keep our customers' water flowing. Sign in here. This process is automatic. (Credit: Mobileye, an Intel Company), Mobileye introduces the next-generation EyeQ system-on-chip for advanced driver-assistance systems. Rushinek promised that EyeQ5 will support a standard automotive OS, but he declined to name names. STM1061N31WX6F. Intel, in contrast, said that EyeQ 5 is sampling in 2018, production/volume in 2020, and first customer car in 2021 (BMW iNext)., Second, Shapiro pointed out that Nvidias Drive PX Xaviers 30 watts of power consumption at 30 trillion operations per second (TOPS), quoted by Intel, is for the entire system, CPU, GPU and memory, as opposed to just deep learning cores as in the EyeQ 5.. The first one is an assistive robot that substitutes for lost limb movements. One thing thats never clear is the issue of a split of hardware and software in processing sensory data. It needs to other ECUs in cars. accelerators, including deep learning neural networks. #mc_embed_signup form { padding: 0px !important; text-align: left !important; } width: 70px; This approach enables the optimum balance of performance across different accelerators and general-purpose processors in an extremely efficient power-performance envelope. 21281CB. system, through a surround vision premium driver-assist solution, to With EyeQ Ultra, it is upping the ante in its battle with Nvidia and Qualcomm to power autonomous cars in the coming decade. It is equivalent to two EyeQ5 SoCs in terms of computing power but more importantly supports visualization and performs better under heavy artificial intelligence workloads. Arm cortex-m3 series microcontroller ic 32-bit single-core 24mhz 384kb (384k x 8) flash 64-lqfp (10x10) call Detail. %PDF-1.5 Rushinek made it clear that the EyeQ5 accelerators arent a licensed IP. In the past 20 years, Mobileye has launched a series of solutions consisting of algorithm + EyeQ series chips based on visual perception technology, which can help car companies realize from L0 level collision warning to L1 level AEB emergency braking, ACC Adaptive cruise, and then to the L2 ICC integrated cruise and other functions. EyeQ5 has advanced multi-threaded processing units (general purpose CPU and the MPC core) offering plenty of power for decision making and high level fusion, Rushinek explained. The EyeQ 6H will begin sampling later this year and enter full production by the end of 2024. This efficiently designed SoC builds on seven generations of proven EyeQ architecture to deliver exactly the power and performance needed for AVs, which are all but certain to be all-electric vehicles. Login to post a comment. Do you work for Intel? For this purpose, the EyeQ5s dedicated IOs support at least 40Gbps data bandwidth. You must Register or Further information can be found at www.st.com. It achieves 70A of continuous output current over a wide input supply range. The key element in our system is in its ability to mimic how humans understand the roadscape. L2. from a windshield-mounted, low-voltage front-camera driver-assist Mobileye said Ultra can process data from two sensor subsystemsone camera-only system, and the other combining radar and lidarand the vehicle's central computing system, high-definition map, and driving policy software. The service requires full cookie support in order to view this website. The EyeQ6H will support premium ADAS or partial AV capabilities with full surround. Mobileyes products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a Roadbook of localized drivable paths and visual landmarks using REM; and provide mapping for autonomous driving. The EyeQ5 will contain eight multithreaded CPU cores coupled with eighteen cores of Mobileye's next-generation, well-proven vision processors, explained Marco Monti, ST's executive vice president, Automotive and Discrete Group. Forgot your Intelusername You can also try the quick links below to see results for most popular searches. Like its EyeQ predecessors, EyeQ Ultra has been engineered in tandem with Mobileye software, enabling extreme power efficiency with zero performance sacrifices. call Detail. Today, Mobileye makes one of the most advanced collision avoidance systems on the market,. To learn more about Intels innovations, go to newsroom.intel.com and intel.com. EyeQ5 will be delivered to carmakers and Tier1s along with a full suite of hardware accelerated algorithms and applications that are required for autonomous driving. Mobileye SeeQ Brochure 1. Intel's IPO of Mobileye will generate cash for the company to build more fabs and to get back on track against competitors. Please enable JavaScript on your browser and try again. He noted, All of the channels are secured via cyphering and authentication.. Forget the process-node nonsense. With our joint commitment to the 5th-generation of the industrys leading Advanced Driver Assistance System (ADAS) technology, ST will continue to provide a safer, more convenient smart driving experience.. The EyeQ Ultra contains 12 dual-threaded CPU cores based on the open-source RISC-V architecture, moving away from the MIPS CPU cores in its predecessors. Qualcomm. But last year, Intel said it planned to spin out a portion of its autonomous driving unit, in a bet that the car chip business will become an increasingly important market for the chip vendor. Consider that modern browsers: So why not taking the opportunity to update your browser and see this site correctly? EyeQ5 features heterogeneous, fully programmable accelerators, with each of the four accelerator types in the chip optimized for its own family of algorithms. You should not place undue reliance on these statements. For our industry, this is the next generation. Is EyeQ5 capable of decision making, too? Mobileye designed the EyeQ Ultra after having first built an AV to understand exactly what a self-driving vehicle needs to operate at a very high meantime between failures. The chip adds internal redundancies for safety as well as a security subsystem. It also supports LPDDR5X memory. radars, and lidars for a full self-driving system. The full sensor suite includes 13 cameras, 3 long-range LiDARs, 6 short-range LiDARs and 6 radars. EyeQ5 obviously wont be the only chip inside a vehicle. Mobileye announced that it plans to partner with auto maker Zeekr to roll out what the companies said would be the world's first Level 4 autonomous vehicle in China by 2024. :pb[>S9iQ8Kw[Ev]}Y~W[R"b;UtL x[s]T STy-%Yo|QrRyFTq#9@sjSY+6&sxmnNtt|>M[.D],~('6R8?)q\yJ%3RU> v}V~{X_ vZ2;x|Xw=LGy]6qml*Zrk;ZGo[?+qQU a5R|_W{7ON5hGmM->Q The second type is called as therapy robot, that allows patients to perform practice movements aided by robot. Intels 8061 microcontrollers and its derivatives were reportedly used in almost all Ford automobiles built from 1983 to 1994. The EyeQ 6L is ideal for the front-facing camera systems in cars. /k_[fT.kT?MD}z84ym#XFibz7+B WQj j. This optimized assignment ensures the EyeQ5 provides "super-computer" capabilities within a low-power envelope to enable price-efficient passive cooling. There's more than a single programming model involved. However, common to all the accelerators is they're programmed in a version of the C language extended with features mapping to their specific hardware architecture. He explained that this is true for most accelerators on the market., Mobileyes heterogeneous accelerators are optimised for a wide variety of computer vision, machine learning and signal processing tasks, according to Rushinek. Also under the hood are a graphics processing unit (GPU) from Arm that can run up to 256 billion FLOPS and a vision processing unit (VPU) to help cars "see" the world around them. EyeQ5 is designed to serve as the central processor for future fully-autonomous driving for both the sheer computing density, which can handle around 20 high-resolution sensors and for increased functional safety, said Prof. Amnon Shashua, cofounder, CTO and Chairman of Mobileye. Intel Corporation. __Figure 1:__ *EyeQ5 block diagram (Source: Mobileye) *. EyeQ5 is designed for systems that meet the highest grade of safety in automotive applications (ASIL B(D), according to the ISO 26262 standard). LAS VEGAS, Jan. 4, 2022 Mobileye today introduced the EyeQ Ultra, the companys most advanced, highest performing system-on-chip (SoC) purpose-built for autonomous driving. *>t}U2FPl4z The introduction of EyeQ Ultra comes at the same time as two new EyeQ SoCs for ADAS the EyeQ6L and EyeQ6H and follows the shipment of Mobileyes100 millionth EyeQSoC late last year. Mobileye's silicon-only approach to EyeQ5 marks a stark contrast to an EyeQ business model in which it sells "silicon and software as a closed system." Shashua said that in driving assist the closed EyeQ chip comes with "entire application detecting pedestrians, vehicles and whatever it needs to function in a closed system." The EyeQ 6H is targeted at more advanced safety features in cars that rely on several surround cameras, such as lane-changing assist and automated parking. <>>> "The efficiency is born out of understanding the very, very tight interplay between hardware and software.. The Mobileye team is one of Arteris IP's oldest and most innovative customers, having first licensed Arteris FlexNoC interconnect IP in 2010 while continually using it as the on-chip interconnect for the EyeQ3, EyeQ4, and EyeQ5 SoC families. #mc_embed_signup input.email { width: 100% !important; margin: 10px 0px;} The EyeQ6H will support top-line ADAS and partial AV capabilities. The company said the chip will have the compute power of two EyeQ5 chips but support visualization and perform better when processing heavy AI workloads. The SDK may also be used for prototyping and deployment of Neural Networks, and for access to Mobileye pre-trained network layers. The EyeQ5 continues Mobileye's long-standing cooperation with STMicroelectronics. M. Both the TPS59632-Q1 and TPS59603-Q1 devices are AEC Q-100 qualified to support the automotive First silicon for the EyeQ Ultra SoC is expected at the end of 2023, with full automotive-grade production in 2025. Vehicles worldwide are equipped with Mobileye driver-assist technology. We believe them to be a much better fit for the mix of computational tasks involved in ADAS and autonomous driving than mapping all those tasks to a pre-existing accelerator developed for another market and re-branded as an autonomous driving solution while remaining the same thing underneath.. About Mobileye Mobileye N.V. is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. As unveiled during CES 2022, EyeQ Ultra maximizes both effectiveness and efficiency at only 176 TOPS, making it the industrys leanest autonomous vehicle (AV) chip. 1 0 obj As a result, you may be unable to access certain features. It also will offer a range of features . Hardware : Intel Denverton,Mobileye EyeQ5,Aurix TC29x - Analyze and Review Requirements (SYS.2) for HPAD Onboard Communication and External . )V9 EyeQ5 uses a 7nm FinFET process . The MP86957 is a monolithic half-bridge with built-in internal power MOSFETs and gate drivers. Mobileye EyeQ5 - High Core Rail Power-Supply Design Using TPS59632-Q1 and TPS59603-Q1 Rama Venkatraman, Meir Battan . Mobileye Drive is a Level 4 self-driving system. #mc_embed_signup .button { G17S5004115Amphenol() After the Intel CEOs keynote, Danny Shapiro, Nvidias senior director of automotive, called EE Times from L.A. and cried foul. Tapping 5-nm process technology takes the performance of the EyeQ Ultra chip to another level. The ST/Mobileye team has not disclosed either the node (10nm or below) or the foundry partner. Words such as believes, intends, expects, projects, anticipates, and future or similar expressions are intended to identify forward-looking statements. Or do we expect sensors to send raw data to the master ECU? 1 Based on Mobileye EyeQ5 TOPS performance expectations vs. NVIDIA claimed Xavier platform DL Performance of 30 TOPS at 30W. We are thrilled to be working with Mobileye. /* Add your own Mailchimp form style overrides in your site stylesheet or in this style block. SoCSystem on ChipEyeQ5SoCDenverton BMW2016 BMW. It is equivalent to two EyeQ5 SoCs in terms of computing power . The chip is supplemented by four classes of proprietary accelerators, each tailored for a specific set of tasks. Intels EyeQ 5 vs. Nvidias Xavier: Wrong Debate, Intel CEO Brian Krzanich at his keynote presentation during Automobility LA on Nov. 29, 2017 (Source: Intel), Intel claimed that the Mobileye EyeQ5 SoC delivers 2.4 TOPS per watt for 2.4 times greater deep learning performance efficiency than Nvidias Xavier during Automobility LA (Source: Intel), Free to WatchWhy Hydrogen Gas Sensor is next big thing for EV and its potential application, Global DRAM Revenue Down by Over 30% in 4Q 2022, Analog Devices Hosts Open RAN Policy Coalition Reception, STMicroelectronics MCUs Receive NIST Embedded Random-number Entropy Source Certification, Keysight, DOCOMO, and NTT Collaborate to Drive 6G Wireless Innovation, Navigate 2023 with These Chip Supply Insights, UK Tech Rocketship Awards Offer a Launch-Pad to Taiwans Startups, Knerons Next-Gen Edge AI Chip Gets $40m Boost, Automakers Announce Plans to Go All-Electric in 2021, A Sustainable Future is on the Horizon with Digital Twins and AI, Smart Video Surveillance Might be Listening. Mobileye is currently the leader of camera-based ADAS, with products .
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