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Rail Vision Joins NVIDIA Metropolis to Boost Railway Safety Systems

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Rail Vision Ltd. (RVSN) partners with NVIDIA Metropolis to enhance rail safety through advanced AI technologies. The collaboration aims to revolutionize railway safety and efficiency by leveraging NVIDIA's cutting-edge AI platforms and developer tools.
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The partnership between Rail Vision Ltd. and NVIDIA's Metropolis program is a strategic move that could potentially disrupt the railway safety and efficiency sector. By leveraging NVIDIA's advanced AI platforms, Rail Vision is poised to enhance its product offerings, which could lead to increased market competitiveness. The integration of NVIDIA's technology into Rail Vision's systems is expected to result in more sophisticated, real-time safety monitoring and data analysis capabilities.

From a market perspective, Rail Vision’s entry into the Metropolis ecosystem could be seen as an investment in innovation, which is often rewarded by investors looking for growth opportunities. The collaboration might also open up new revenue streams for Rail Vision, as the enhanced capabilities of their systems could attract a broader customer base within the rail industry. This move could signal to the market that Rail Vision is committed to maintaining technological leadership, which might positively influence investor sentiment.

Financially, the collaboration with NVIDIA could indicate a forward-looking capital allocation strategy by Rail Vision. As Rail Vision adopts NVIDIA Jetson and other edge AI platforms, there could be an increase in R&D expenses in the short term. However, the potential for cost savings in the long run through improved operational efficiency should not be overlooked. The use of AI and deep learning could optimize Rail Vision's systems, leading to reduced maintenance costs and lower failure rates, which would be financially beneficial over time.

For shareholders and potential investors, the key will be to monitor how quickly Rail Vision can monetize these technological advancements. The speed at which new AI-driven solutions are brought to market and the rate of adoption by the rail industry will be critical factors in assessing the financial impact of this partnership. Investors will also be interested in the scalability of these solutions and how they might contribute to Rail Vision's bottom line.

The technical implications of Rail Vision's use of NVIDIA's edge AI platforms, such as the NVIDIA Jetson, are significant. These platforms provide accelerated computing that is essential for processing the vast amounts of data generated by railway safety systems. The energy-efficient modules are particularly suited to the rail industry, where power consumption and space are often at a premium. NVIDIA's TensorRT software development kit is designed for high-performance deep learning inference, which suggests that Rail Vision's systems could become more accurate and faster at identifying potential hazards on railway tracks.

By joining NVIDIA Metropolis, Rail Vision will have access to a broader set of tools and a community of AI experts, which could accelerate the development of new AI applications for rail safety. The ability to gain early access to NVIDIA's platform updates could ensure that Rail Vision's solutions remain at the technological forefront. For stakeholders, this could mean a sustained competitive advantage in an industry that is increasingly looking to technology for safety and efficiency improvements.

Rail Vision uses the NVIDIA Jetson and other NVIDIA edge AI platforms in its advanced railway safety systems

Ra’anana, Israel, Feb. 29, 2024 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, today announces that it is joining NVIDIA Metropolis, a partner program, application framework, and set of developer tools focused on bringing to market a new generation of vision AI applications. This signifies a significant step forward in Rail Vision’s commitment to advancing rail safety and efficiency through cutting-edge technologies.

NVIDIA Metropolis makes it easier and more cost-effective for enterprises, governments, and integration partners to use world-class, AI-enabled technologies to improve critical operational efficiency and solve safety problems. The Metropolis ecosystem contains a large and growing breadth of members investing in advanced AI techniques and efficient deployment platforms and uses an enterprise-class approach to their solutions. Metropolis members can gain early access to NVIDIA platform updates to enhance their AI application development efforts. Additionally, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations.

By joining Metropolis, Rail Vision hopes to gain a significant advantage in developing and deploying AI-driven solutions that are tailored to the unique needs of the rail sector through the opportunity of leveraging NVIDIA’s extensive technological expertise and integrating its cutting-edge technology.

Rail Vision uses the NVIDIA Jetson and other NVIDIA edge AI platforms, which provide accelerated computing in compact and energy-efficient modules, and also uses the NVIDIA TensorRT software development kit for high-performance deep learning inference.

About Rail Vision Ltd.

Rail Vision is a technology company that is seeking to revolutionize railway safety and the data-related market. The Company has developed cutting-edge, artificial intelligence-based, industry-leading technology specifically designed for railways. The Company has developed its railway detection and systems to save lives, increase efficiency, and dramatically reduce expenses for the railway operators. Rail Vision believes that its technology will significantly increase railway safety around the world, while creating significant benefits and adding value to everyone who relies on the train ecosystem: from passengers using trains for transportation to companies that use railways to deliver goods and services. In addition, the company believes that its technology has the potential to advance the revolutionary concept of autonomous trains into a practical reality. For more information, please visit https://www.railvision.io/

Forward-Looking Statements
This press release contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act and other securities laws. Words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates” and similar expressions or variations of such words are intended to identify forward-looking statements. For example, the Company is using forward-looking statements when it discusses how it hopes to gains a significant advantage in developing and deploying AI-driven solutions that are tailored to the unique needs of the rail sector through the opportunity to of leverage leveraging NVIDIA’s extensive technological expertise and integrate integrating its cutting-edge technology. Forward-looking statements are not historical facts, and are based upon management’s current expectations, beliefs and projections, many of which, by their nature, are inherently uncertain. Such expectations, beliefs and projections are expressed in good faith. However, there can be no assurance that management’s expectations, beliefs and projections will be achieved, and actual results may differ materially from what is expressed in or indicated by the forward-looking statements. Forward-looking statements are subject to risks and uncertainties that could cause actual performance or results to differ materially from those expressed in the forward-looking statements. For a more detailed description of the risks and uncertainties affecting the Company, reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Company’s annual report on Form 20-F filed with the SEC on March 23, 2023. Forward-looking statements speak only as of the date the statements are made. The Company assumes no obligation to update forward-looking statements to reflect actual results, subsequent events or circumstances, changes in assumptions or changes in other factors affecting forward-looking information except to the extent required by applicable securities laws. If the Company does update one or more forward-looking statements, no inference should be drawn that the Company will make additional updates with respect thereto or with respect to other forward-looking statements. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release. Rail Vision is not responsible for the contents of third-party websites.

Investor Relations
Michal Efraty
+972-(0)52-3044404
michal@efraty.com

Contacts
Shahar Hania
Chief Executive Officer
Rail Vision Ltd.
15 Ha'Tidhar St
Ra'anana, 4366517 Israel
Telephone: +972- 9-957-7706


FAQ

How is Rail Vision partnering with NVIDIA to improve rail safety?

Rail Vision is joining the NVIDIA Metropolis program to develop and deploy AI-driven solutions tailored to the rail sector's unique needs.

What are the benefits of Rail Vision using NVIDIA Jetson and other NVIDIA edge AI platforms?

Rail Vision benefits from accelerated computing in compact and energy-efficient modules, as well as high-performance deep learning inference with NVIDIA TensorRT software development kit.

What does the NVIDIA Metropolis program offer to its members?

Members gain early access to platform updates, collaborate with industry experts, and have access to a growing ecosystem of advanced AI techniques and deployment platforms.

How does Rail Vision aim to advance rail safety and efficiency through this partnership?

By leveraging NVIDIA's technological expertise and cutting-edge AI technology, Rail Vision aims to enhance critical operational efficiency and solve safety problems in the rail sector.

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