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China Automotive Software Business Models and Suppliers’ Layout Research Report 2023 – Introduction of Large AI Models into Vehicles has Become a Main Trend

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DUBLIN, Feb. 15, 2024 /PRNewswire/ — The “Automotive Software Business Models and Suppliers’ Layout Research Report, 2023” report has been added to ResearchAndMarkets.com’s offering.

From the layout of automotive software products and solutions, it can be seen that intelligent vehicle software business models include IP, solutions and technical services, which are mainly charged in the forms of non-recurring engineering (NRE), software licensing and royalty.

In terms of business forms, software providers are now engaged in custom software development and design, technical services, software licensing/authorization and system integration. Business forms differ slightly in charging modes.

In the megatrend for software-defined vehicles, automotive electronic/electrical architecture has evolved from the distributed to the centralized. Automakers have intention of full-stack self-development and evolution. However, due to multiple factors such as software technology teams, only a few emerging carmakers or well-funded automakers have made it. Most of the rest still make layout by cooperating with suppliers. The model of “independent R&D (independent and controllable) + in-depth cooperation with suppliers” has now become the main way of making software layout for automakers.

In the trend for software and hardware decoupling, customers are no longer satisfied with purchasing sensors, software and hardware products provided by suppliers, but tend to choose software or hardware solutions that are compatible with products from competitors.

To follow this trend, providers work to make layout. For example, in August 2023 Bosch introduced video-perception software as a standalone product, which can be used on diverse SoCs (systems on chips). This gives automakers maximum flexibility. The image data captured by several sensors, such as the new Bosch camera heads, are processed by Bosch software and made available for advanced driver assistance functions relating to driving and parking.

Bosch’s software and hardware separation solution can provide customers with diversified solutions in various fields, including separate hardware, software or software and hardware integrated system. It also supports customers to build application layers on this basis and offers a variety of combination solutions.

In the trend of EEA, OEMs speed up vehicle OS layout, the solutions of software suppliers become more systematic, and multi-party cooperation accelerates mass production.

In the context of cross-domain fusion, the intelligent vehicle industry requires a vehicle OS to simultaneously support cockpit, intelligent driving, vehicle control and other systems. All vehicle functional domains however have not yet been fully connected, and globally there is no intelligent vehicle operating system that can be directly applied for a long time.

In the past several years, many automakers such as Toyota, Volkswagen, Mercedes-Benz, NIO, and Hongqi have enhanced their deployment in vehicle operating systems. Based on their technology R&D strength, product development requirements and relationships with suppliers, OEMs deploy vehicle OS in three modes: independent R&D, independent R&D + in-depth R&D cooperation, and direct outsourcing. At present, the vehicle OS layout mode is moving from independent R&D to independent R&D + in-depth R&D cooperation.

Given vehicle intelligence and the need for new automotive business models, in 2019 Volkswagen announced VW.OS, a vehicle operating system which was independently developed by its software company CARIAD. However, the progress has been slow due to multiple factors.

In the past two years, Volkswagen has been more open to cooperation, and completely changed the direction of ‘fully independent R&D’. Outside the Chinese market, Volkswagen vigorously enhances cooperation on software and autonomous driving, and has partnered with Qualcomm, Bosch, Mobileye, Apple, Google and so on.

In the Chinese market, Volkswagen has established joint ventures with Horizon Robotics and ThunderSoft to produce exclusive software products for China. In May 2023, CARIAD’s supervisory board approved the company’s comprehensive adjustment plan. In addition to large-scale personnel adjustment, it also highlights reforms, for example, closer technical cooperation with powerful technology companies, and new leadership and team models.

In February 2023, Mercedes-Benz detailed its plans as the architect of its own operating system MB.OS. Mercedes-Benz plans to adopt a layout mode of “independent R&D + R&D cooperation with suppliers”. It has three software development modes for MB.OS. In the figure below, the gray part indicates Mercedes-Benz’s in-house development of interior and data security software; the blue part means Mercedes-Benz’s development of AUTOSAR with its supplier Vector; the purple part refers to the computer underlying software and system for integration with third-party applications. MB.OS was expected to be officially launched on market in 2025.

In September 2023, NIO released SkyOS, a full-stack self-developed operating system for intelligent electric vehicles. As the underlying operating system, SkyOS establishes an all-round, three-dimensional technology system for vehicle R&D, allowing various devices to be organically integrated for efficient cooperation. SkyOS boasts a ‘1+4+N’ technology cluster, covering multiple fields from vehicle control, intelligent driving and cockpit to mobile Internet. It has become a leading intelligent digital technology base in all aspects.

Facing the lucrative vehicle OS market, software providers have aggressively changed their strategies and introduced corresponding development products and solutions, such as ArcherMind’s Fusion OS, KOTEI’s KCar-OS and ETAS’s end-to-end OS. To meet the customization demand from OEMs, software development teams of suppliers are ideal partners for customers, as they can cooperate with customers in research and development, and help customers develop products quickly to shorten the time to market.

In terms of business model, in the short term, in addition to licensing fees charged for software tools, vehicle OS will still mainly charge custom development fees. In the future, the profitability of OEMs will shift from only vehicle sales to application software and service upgrades. The business model between OEMs and vehicle OS providers is not just a one-off deal in currant stage, and charging models such as SaaS, mass production sharing or open source subscription services may emerge.

The pace of vehicle application and mass production of GPT quickens, especially in the human-computer interaction field.

Since its launch in November 2022, Chat GPT has gone viral around the world. Its excellent human-like dialogue learning capability and highly intelligent tool attributes cause a disruption to the information society. Because foundation models can be quickly integrated with the original knowledge system of the automotive industry to build more scenario-based modules, they have cutting-edge technical advantages in the fields of intelligent driving and intelligent cockpit.

The introduction of large AI models into vehicles has become a main trend this year. OEMs try hard to build large AI models in three ways:

First, they start from the underlying layer, and develop and build by themselves;Second, they build the application layer on the underlying layer built by platform-level companies;

Third, they directly build in some foundation model.

Li Auto’s independent R&D model: At the 2023 Li Auto Family Technology Day Conference, Li Auto released Mind GPT, its self-developed model which not only controls the car, but also performs functions such as storytelling, children’s encyclopedia creation, trip planning, intelligent diagnosis, and complex task understanding. In the process of foundation model training, Li Auto finally chose to fully self-develop foundation models after considering solutions of many suppliers.

The spatial algorithm team of Li Auto builds a data platform and training platform based on foundation model training, and uses a ‘controller unit model’ to connect external capabilities to make up for the model’s deficiencies in some aspects. Starting from the bottom layer, the team builds up the whole structure of Mind GPT, applies the technology and capabilities to actual scenarios, and makes differentiated innovations through iteration, in a bid to continuously improve the product strength and competitiveness of Mind GPT.

Mercedes-Benz adopts ChatGPT direct supply mode: In June 2023, Mercedes-Benz launched a three-month ChatGPT test program in the United States. Customers can participate via the Mercedes me App or directly from the vehicle using the voice command “Hey Mercedes, I want to join the beta program”, and then the MBUX Voice Assistant’s Hey Mercedes will automatically connect to ChatGPT. Mercedes-Benz is integrating ChatGPT through Azure OpenAI Service, leveraging the enterprise-grade capabilities of Microsoft’s cloud and AI platform. With ChatGPT in preview in Azure OpenAI Service, developers can integrate custom AI-powered experiences directly into their own applications.

Via Microsoft’s Azure OpenAI Service customers can begin using ChatGPT today. It is priced at USD0.002/1,000 tokens and billing for all ChatGPT usage begins March 13, 2023.

iFlytek Spark landed on EXEED STERRA ES, involving a joint development and custom model: In August 2023, Chery released STERRA ES, the first model equipped with iFlytek Spark, a cognitive foundation model of iFlytek. Based on Chery’s ‘LION AI’ foundation model platform and iFlytek Spark, EXEED STERRA ES brings better cockpit interaction capabilities.

Chery and iFlytek give full play to the key benefits of the foundation model in an AI voice assistant through cross-border integration and deep link of technologies. Driven by 6 major technologies, including cross-business scenarios, deep semantic understanding, multi-round interaction, learning evolution, real-time update & loading and multiple styles, the foundation model solves the three major enduring problems for users in current human-computer interaction, namely, single conversation style, separation of chats and skills, and lack of cross-scenario business, and finally realizes five core application scenarios, becoming a vehicle function instructor, an empathic partner, a knowledge encyclopedia, a travel manager and a health consultant. The two parties cooperate to deeply integrate the functions of the foundation model, jointly develop and customize it, and quickly install it on vehicles.

Moreover as the application of large AI models in vehicles speeds up, suppliers also create the foundation model pre-integrated supply mode. For example, Continental announced a partnership with Google Cloud during its press conference at the IAA MOBILITY 2023. Together, the two companies are equipping cars with generative Artificial Intelligence (AI), and they expect a fast time to market – from order receipt to production and delivery in 18 months.

For more information about this report visit https://www.researchandmarkets.com/r/2o8aen

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Technology

Online Language Learning Market to Grow by USD 81.55 Billion (2025-2029), Cost Benefits and Flexibility Drive Growth, AI-Driven Market Transformation- Technavio

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NEW YORK, Jan. 3, 2025 /PRNewswire/ — Report with the AI impact on market trends – The global online language learning market size is estimated to grow by USD 81.55 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  27.5%  during the forecast period. Cost benefits and flexibility of online language learning is driving market growth, with a trend towards artificial intelligence in language learning. However, threat from open sources  poses a challenge. Key market players include Babbel GmbH, Berlitz Corp., Cengage Learning Inc., Chegg Inc., Duolingo Inc., Educational Testing Service, edX LLC, EF Education First Ltd., Enux Education Ltd., Houghton Mifflin Harcourt Co., inlingua International Ltd., iTutorGroup Inc., IXL Learning Inc., McGraw Hill LLC, New Oriental Education and Technology Group Inc., Sanako, Think and Learn Pvt. Ltd., uFaber, University of Oxford, and Voxy Inc..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

Online Language Learning Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 27.5%

Market growth 2025-2029

USD 81552.9 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

21.2

Regional analysis

APAC, Europe, North America, South America, and Middle East and Africa

Performing market contribution

APAC at 44%

Key countries

India, US, China, UK, Spain, Japan, Germany, Canada, Brazil, and France

Key companies profiled

Babbel GmbH, Berlitz Corp., Cengage Learning Inc., Chegg Inc., Duolingo Inc., Educational Testing Service, edX LLC, EF Education First Ltd., Enux Education Ltd., Houghton Mifflin Harcourt Co., inlingua International Ltd., iTutorGroup Inc., IXL Learning Inc., McGraw Hill LLC, New Oriental Education and Technology Group Inc., Sanako, Think and Learn Pvt. Ltd., uFaber, University of Oxford, and Voxy Inc.

Market Driver

The language learning market is booming as multinational corporations prioritize multilingual skills for their global workforce. E-learning is at the forefront of this trend, with language experts and providers offering high-quality content through flexible pricing structures and technological advancements. Artificial intelligence and machine learning personalize teachings for individual learners, from beginners to advanced, in languages such as English, Spanish, French, German, Chinese, Italian, Arabic, Korean, and others. Flexibility and affordability are key, with e-learning accessible via smartphones, computers, tablets, and wearable gadgets like HoloLens, fitness trackers, and smartwatches. Big data and adaptive learning help track learner progress and deliver content in real-time. However, challenges include technical issues, limited human interaction, and cultural adaptation. E-learning platforms are democratizing education, enabling lifelong learning and skill development for busy professionals and students alike. 

The duration of an online language program is a significant consideration for potential learners, second only to pricing. The time required to learn a language varies among individuals. However, the integration of Artificial Intelligence (AI) in language learning has been shown to reduce the time compared to traditional methods. For instance, Duolingo utilizes AI-powered chatbots for interactive language learning. These bots personalize the learning experience, saving time, money, and effort for students. AI’s ability to tailor digital language courses to each learner makes online language learning more efficient and effective. 

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 Market Challenges

The language learning market is booming, driven by multinational corporations’ need for a multilingual workforce. E-learning is a key player, offering flexibility and high-quality content through language experts and providers. However, challenges persist, such as technical issues and cost for implementation. Flexible pricing structures and product innovations, including wearable technologies and AI algorithms, are addressing these concerns. Individual and institutional learners benefit from Internet penetration and digital technology, accessing multimedia resources and interactive exercises on smartphones, computers, and tablets. Age and learning style vary, with Mandarin, Spanish, French, German, Chinese, and other languages in demand. Retention and motivation are crucial, with adaptive learning and personalized teachings key to success. Cultural adaptation and communication are also important for cross-cultural understanding. Despite these advances, limited human interaction and technological barriers remain. The democratization of education through e-learning platforms continues, with a focus on lifelong learning and skill development.The global online language learning market faces significant competition from massive open online courses (MOOCs), which are easily accessible and free. MOOCs, offered by platforms like Coursera, edX, XuetangX, Udacity, and FutureLearn, have gained rapid popularity, negatively impacting the market. Educational institutions collaborate with MOOC providers to offer free courses, attracting a large user base. Duolingo, a free language learning service, targets emerging markets like India and China, further intensifying the competition. Market growth is challenged by the availability and affordability of these free resources.

Discover how AI is revolutionizing market trends- Get your access now!

Segment Overview 

This online language learning market report extensively covers market segmentation by 

End-user 1.1 Courses1.2 Solutions1.3 AppsLanguage 2.1 English2.2 Mandarin2.3 Spanish2.4 OthersGeography 3.1 APAC3.2 Europe3.3 North America3.4 South America3.5 Middle East and Africa

1.1 Courses-  Online language courses form the core of language learning programs, offering digital content and courseware designed to teach a language. These courses are often more affordable than traditional classroom-based programs, making language learning accessible to a larger audience. Online language learning platforms provide diverse resources, such as videos, interactive lessons, quizzes, and live sessions with native speakers, catering to various learning styles. While some courses require specific hardware, vendors are developing compatible offerings for any smart gadget. The English and Mandarin language courses dominate the market, but content differentiation caters to various learner categories. Self-paced learning is driving growth in the courses segment, primarily for students and business professionals. The necessity of learning foreign languages for international businesses and students continues to increase, leading to accelerated growth in the courses segment of the global online language learning market.

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Research Analysis

The online language learning market is revolutionizing the way people acquire multilingual skills in the digital age. E-learning platforms offer flexibility and convenience, allowing learners to access language experts and resources from anywhere in the world. Cross-border communication is easier than ever before, making it essential for individuals and businesses to master new languages. Artificial intelligence plays a significant role in personalized learning, providing adaptive exercises based on individual strengths and weaknesses. Flexible pricing structures, wearable technologies, and Internet access expand accessibility to language learning. Multimedia resources, interactive exercises, movies, virtual classrooms, and language learning tools enhance the learning experience. Communication skills are a crucial component of language learning, and online platforms provide opportunities for practice through interactive features and real-time feedback.

Market Research Overview

The language learning market is experiencing significant growth due to the increasing demand for multilingual skills in the multinational corporation sector. E-learning has become a popular choice for language experts and learners alike, offering flexibility and high-quality content. Artificial intelligence is playing a major role in personalizing teachings through AI algorithms and wearable technologies like HoloLens, fitness trackers, smartwatches, and smart glasses. Individual learners and institutional learners alike benefit from the internet penetration and the expanding e-learning market. Product innovations such as self-learning apps, tutoring, and virtual classrooms offer affordable and adaptive learning programs for various age groups. Mandarin, Spanish, French, German, Chinese, Italian, Arabic, Korean, and other languages are in high demand. Technological advancements like big data, machine learning, and adaptive learning enable learner progress tracking and adaptive content delivery. However, challenges such as limited human interaction, technological barriers, and lack of personalization remain. The democratization of education through e-learning platforms and lifelong learning opportunities is transforming the education sector. Busy professionals and students can benefit from the flexibility of learning styles and the availability of multimedia resources, interactive exercises, movies, and virtual classrooms. Communication and cross-cultural understanding are essential in today’s globalized world. E-learning platforms are also being adopted by educational institutions and the corporate sector for beginner, intermediate, and advanced learners. Synchronous and asynchronous learning, as well as blended learning, cater to different learning preferences.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userCoursesSolutionsAppsLanguageEnglishMandarinSpanishOthersGeographyAPACEuropeNorth AmericaSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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IAS Announces CFO Transition

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Jill Putman Appointed Interim CFO

Reiterates Fourth Quarter and Full Year 2024 Outlook

NEW YORK, Jan. 3, 2025 /PRNewswire/ — Integral Ad Science (Nasdaq: IAS), a leading global media measurement and optimization platform, today announced the departure of Tania Secor as Chief Financial Officer (CFO) and the appointment of Jill Putman as Interim CFO, effective immediately. Ms. Secor departed IAS to pursue new opportunities. IAS has commenced a search for a new permanent CFO.

In addition, IAS is reiterating its revenue and adjusted EBITDA outlook for the fourth quarter and full year 2024 that it provided on November 12, 2024 in its third quarter 2024 financial results release.

Lisa Utzschneider, Chief Executive Officer of IAS, commented, “We thank Tania for her contributions to our finance organization since joining two years ago, and we wish her the best in her future endeavors. Jill has been an IAS Board member since 2021 and has served as the Chair of the Audit Committee. She is a trusted partner to IAS and a proven finance leader with over 30 years of experience including as CFO of Jamf Holding Corp. We are excited to welcome Jill to IAS in this interim capacity as we prepare for a year of growth and innovation.”

Ms. Putman commented, “I am delighted to extend my partnership with IAS as Interim CFO. I look forward to leading IAS’s talented finance team and to working across the organization to make a positive impact at IAS based on my relevant finance experience and my first-hand knowledge of the company.”

Ms. Putman will continue to serve as a member of the Board but has stepped down from her position as a member and the Chair of the Audit Committee of the Board. The Board has appointed current IAS Board member Bob Lord as a member and the Chair of the Audit Committee.

About Jill Putman

Jill Putman is a globally experienced executive with a full range of financial and leadership expertise with particular emphasis in high growth, global expansion, investor relations, and M&A. She served as the CFO of Jamf Holding Corp. (Nasdaq: JAMF) from 2014 to 2022, where she led the company’s Finance, Investor Relations and Human Resource functions. Prior to her role at Jamf, Ms. Putman was the Chief Financial Officer at Kroll Ontrack from July 2011 until May 2014. From 1997 to 2009, Ms. Putman held several roles, including VP of Finance, at Secure Computing, which was acquired by McAfee in 2008. Ms. Putman began her career with KPMG, serving in its audit practice.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Disclosure Regarding Non-GAAP Financial Information

Adjusted EBITDA is a non-GAAP measure. Information about the company’s use of adjusted EBITDA can be found in its third quarter 2024 financial results release.

Forward-Looking Statements 

This press release contains forward-looking statements that are subject to risks and uncertainties. All statements other than statements of historical fact included in this press release are forward-looking statements. Forward-looking statements give our current expectations and projections relating to our financial condition, results of operations, plans, objectives, future performance, including guidance, expectations with respect to the CFO transition described above, and our business, including pipeline and industry trends. You can identify forward-looking statements by the fact that they do not relate strictly to historical or current facts. These statements may include words such as “anticipate,” “estimate,” “expect,” “project,” “plan,” “intend,” “believe,” “may,” “will,” “should,” “can have,” “likely,” and other words and terms of similar meaning in connection with any discussion of the timing or nature of future operating or financial performance or other events. All forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially from those that we expected, including: (i) the adverse effect on our business, operating results, financial condition, and prospects from various macroeconomic factors, including instability in geopolitical or market conditions; (ii) our failure to innovate or make the right investment decisions; (iii) our ability to provide digital or cross-platform analytics; (iv) our failure to maintain or achieve industry accreditation standards; (v) our dependence on integrations with advertising platforms, demand side providers (“DSPs”) and proprietary platforms that we do not control; (vi) our ability to compete successfully with our current or future competitors in an intensely competitive market, including with respect to the Oracle opportunity; (viii) our dependence on senior management and the impact of the CFO transition described above; and (ix) other factors disclosed in our filings with the SEC. Given these factors, as well as other variables that may affect our operating results, you should not rely on forward-looking statements, assume that past financial performance will be a reliable indicator of future performance, or use historical trends to anticipate results or trends in future periods.

We derive many of our forward-looking statements from our operating budgets and forecasts, which are based on many detailed assumptions. While we believe that our assumptions are reasonable, we caution that it is very difficult to predict the impact of known factors, and it is impossible for us to anticipate all factors that could affect our actual results. The forward-looking statements included in this press release are made only as of the date hereof. We undertake no obligation to update or revise any forward- looking statement as a result of new information, future events or otherwise, except as otherwise required by law.

Investor Contact:
Jonathan Schaffer
ir@integralads.com

Media Contact:
press@integralads.com

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SOURCE Integral Ad Science, Inc.

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NASA to Host Media Call Highlighting Mars Sample Return Update

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WASHINGTON, Jan. 3, 2025 /PRNewswire/ — NASA Administrator Bill Nelson and Nicky Fox, associate administrator, Science Mission Directorate, will host a media teleconference at 1 p.m. EST, Tuesday, Jan. 7, to provide an update on the status of the agency’s Mars Sample Return Program.

The briefing will include NASA’s efforts to complete its goals of returning scientifically selected samples from Mars to Earth while lowering cost, risk, and mission complexity.

Audio of the media call will stream live on the agency’s website.

Media interested in participating by phone must RSVP no later than two hours prior to the start of the call to: dewayne.a.washington@nasa.gov. A copy of NASA’s media accreditation policy is online.

The agency’s Mars Sample Return Program has been a major long-term goal of international planetary exploration for more than two decades. NASA’s Perseverance rover is collecting compelling science samples that will help scientists understand the geological history of Mars, the evolution of its climate, and prepare for future human explorers. The return of the samples also will help NASA’s search for signs of ancient life.

For more information about NASA’s Mars exploration, visit:

https://nasa.gov/mars

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SOURCE NASA

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