Education
Advancing Artificial Intelligence Education for American Youth – The White House

By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered:
Section 1. Background. Artificial intelligence (AI) is rapidly transforming the modern world, driving innovation across industries, enhancing productivity, and reshaping the way we live and work. To ensure the United States remains a global leader in this technological revolution, we must provide our Nation’s youth with opportunities to cultivate the skills and understanding necessary to use and create the next generation of AI technology. By fostering AI competency, we will equip our students with the foundational knowledge and skills necessary to adapt to and thrive in an increasingly digital society. Early learning and exposure to AI concepts not only demystifies this powerful technology but also sparks curiosity and creativity, preparing students to become active and responsible participants in the workforce of the future and nurturing the next generation of American AI innovators to propel our Nation to new heights of scientific and economic achievement.
To achieve this vision, we must also invest in our educators and equip them with the tools and knowledge to not only train students about AI, but also to utilize AI in their classrooms to improve educational outcomes. Professional development programs focused on AI education will empower educators to confidently guide students through this complex and evolving field. Educators, industry leaders, and employers who rely on an AI-skilled workforce should partner to create educational programs that equip students with essential AI skills and competencies across all learning pathways. While AI education in kindergarten through twelfth grade (K-12) is critical, our Nation must also make resources available for lifelong learners to develop new skills for a changing workforce. By establishing a strong framework that integrates early student exposure with comprehensive teacher training and other resources for workforce development, we can ensure that every American has the opportunity to learn about AI from the earliest stages of their educational journey through postsecondary education, fostering a culture of innovation and critical thinking that will solidify our Nation’s leadership in the AI-driven future.
Sec. 2. Policy. It is the policy of the United States to promote AI literacy and proficiency among Americans by promoting the appropriate integration of AI into education, providing comprehensive AI training for educators, and fostering early exposure to AI concepts and technology to develop an AI-ready workforce and the next generation of American AI innovators.
Sec. 3. Definition. For the purposes of this order, “artificial intelligence” or “AI” has the meaning set forth in 15 U.S.C. 9401(3).
Sec. 4. Establishing an Artificial Intelligence Education Task Force. (a) There is hereby established the White House Task Force on Artificial Intelligence Education (Task Force).
(b) The Director of the Office of Science and Technology Policy shall be the Chair of the Task Force.
(c) The Task Force membership shall consist of the following members:
(i) the Secretary of Agriculture;
(ii) the Secretary of Labor;
(iii) the Secretary of Energy;
(iv) the Secretary of Education;
(v) the Director of the National Science Foundation (NSF);
(vi) the Assistant to the President for Domestic Policy;
(vii) the Special Advisor for AI & Crypto;
(viii) the Assistant to the President for Policy; and
(ix) the heads of other such executive departments and agencies (agencies) and offices that the Chair may designate or invite to participate.
(d) The Task Force shall be responsible for implementing the policy stated in section 2 of this order and coordinating Federal efforts related to AI education, including the actions outlined in this order.
Sec. 5. Establishing the Presidential Artificial Intelligence Challenge. (a) Within 90 days of the date of this order, the Task Force shall establish plans for a Presidential Artificial Intelligence Challenge (Challenge), and the agencies represented on the Task Force shall, as appropriate and consistent with applicable law, implement the plans by holding the Challenge no later than 12 months from the submission of the plan. The Challenge shall encourage and highlight student and educator achievements in AI, promote wide geographic adoption of technological advancement, and foster collaboration between government, academia, philanthropy, and industry to address national challenges with AI solutions.
(b) The Challenge shall feature multiple age categories, distinct geographic regions for competition, and a variety of topical themes of competition to reflect the breadth of AI applications, encouraging interdisciplinary exploration.
(c) The Task Force and, as appropriate, agencies represented on the Task Force shall collaborate with relevant agencies and private sector entities to provide technical expertise, resources, and promotional support for implementing the Challenge, including through existing funding vehicles.
Sec. 6. Improving Education Through Artificial Intelligence. (a) To provide resources for K-12 AI education, agencies represented on the Task Force shall seek to establish public-private partnerships with leading AI industry organizations, academic institutions, nonprofit entities, and other organizations with expertise in AI and computer science education to collaboratively develop online resources focused on teaching K-12 students foundational AI literacy and critical thinking skills. The Task Force shall promptly announce such public-private partnerships on a rolling basis as they are formed.
(i) The Task Force shall seek to utilize industry commitments and identify any Federal funding mechanisms, including discretionary grants, that can be used to provide resources for K-12 AI education. To the extent practicable and as consistent with applicable law, agencies shall prioritize funding for such purposes when it would further the aims of the program for which funding is available.
(ii) The Task Force shall work to ensure the resources funded as described in subsection (i) of this section are ready for use in K-12 instruction within 180 days following the Task Force’s formal announcement of the first slate of public-private partnerships.
(b) Within 90 days of the date of this order, the Task Force shall identify existing Federal AI resources on which agencies may rely, such as the NSF- and Department of Agriculture-sponsored National AI Research Institutes, to support partnerships with State and local educational agencies to improve AI education.
(c) Within 90 days of the date of this order, the Secretary of Education shall issue guidance regarding the use of formula and discretionary grant funds to improve education outcomes using AI, including but not limited to AI-based high-quality instructional resources; high-impact tutoring; and college and career pathway exploration, advising, and navigation.
(d) Within 90 days of the date of this order, the Secretary of Education shall identify and implement ways to utilize existing research programs to assist State and local efforts to use AI for improved student achievement, attainment, and mobility.
Sec. 7. Enhancing Training for Educators on Artificial Intelligence. (a) Within 120 days of the date of this order, the Secretary of Education shall take steps to prioritize the use of AI in discretionary grant programs for teacher training authorized by the Elementary and Secondary Education Act of 1965 (Public Law 89-10), as amended, and Title II of the Higher Education Act of 1965 (Public Law 89-329), as amended, including for:
(i) reducing time-intensive administrative tasks;
(ii) improving teacher training and evaluation;
(iii) providing professional development for all educators, so they can integrate the fundamentals of AI into all subject areas; and
(iv) providing professional development in foundational computer science and AI, preparing educators to effectively teach AI in stand-alone computer science and other relevant courses.
(b) Within 120 days of the date of this order, the Director of the NSF shall take steps to prioritize research on the use of AI in education. The Director of the NSF shall also utilize existing programs to create teacher training opportunities that help educators effectively integrate AI-based tools and modalities in classrooms.
(c) Within 120 days of the date of this order, the Secretary of Agriculture shall take steps to prioritize research, extension, and education on the use of AI in formal and non-formal education through 4-H and the Cooperative Extension System. The Secretary of Agriculture shall also utilize existing programs to create teacher and educator training opportunities that help effectively integrate AI-based tools and modalities into classrooms and curriculum.
Sec. 8. Promoting Registered Apprenticeships. (a) Within 120 days of the date of this order, the Secretary of Labor shall seek to increase participation in AI-related Registered Apprenticeships, including by:
(i) Prioritizing the development and growth of Registered Apprenticeships in AI-related occupations. The Secretary of Labor shall establish specific goals for growing Registered Apprenticeships in AI-related occupations across industries; and
(ii) Using apprenticeship intermediary contracts and allocating existing discretionary funds, as appropriate and consistent with applicable law, to engage industry organizations and employers and facilitate the development of Registered Apprenticeship programs in AI-related occupations. In doing so, the Secretary of Labor shall support the creation of industry-developed program standards to be registered on a nationwide basis, enabling individual employers to adopt the standards without requiring individual registry.
(b) Within 120 days of the date of this order, the Secretary of Labor shall encourage States and grantees to use funding provided under the Workforce Innovation and Opportunity Act (WIOA) (Public Law 113-128), as amended, to develop AI skills and support work-based learning opportunities within occupations utilizing AI by:
(i) issuing guidance to State and local workforce development boards encouraging the use of WIOA youth formula funds to help youth develop AI skills;
(ii) clarifying that States can use Governor set-asides to integrate AI learning opportunities into youth programs across the State; and
(iii) consistent with applicable law, establishing AI skills training and work-based learning as a grant priority in all Employment and Training Administration youth-focused discretionary grant programs.
(c) Within 120 days of the date of this order, the Secretary of Labor, through the Assistant Secretary of Labor for Employment and Training, and in collaboration with the Director of the NSF, shall engage with relevant State and local workforce development boards, industry organizations, education and training providers, and employers to identify and promote high-quality AI skills education coursework and certifications across the country. Through such engagement, the Secretary of Labor shall:
(i) identify applicable funding opportunities to expand access to high-quality AI coursework and certifications;
(ii) set performance targets for youth participation through any grants awarded for this purpose; and
(iii) utilize industry and philanthropic partnerships to the extent practicable.
(d) Within 120 days of the date of this order, and in consultation with the Secretary of Education and the Director of the NSF, the Secretary of Labor shall support the creation of opportunities for high school students to take AI courses and certification programs by giving priority consideration in awarding grants as appropriate and consistent with applicable law to providers that commit to use funds to develop or expand AI courses and certification programs. The Secretary of Labor and the Secretary of Education shall encourage recipients to build partnerships with States and local school districts to encourage those entities to consider offering high school students dual enrollment opportunities to take courses to earn postsecondary credentials and industry-recognized AI credentials concurrent with high school education.
(e) Within 120 days of the date of this order, all agencies that provide educational grants shall, as appropriate and consistent with applicable law, consider AI as a priority area within existing Federal fellowship and scholarship for service programs.
Sec. 9. General Provisions. (a) Nothing in this order shall be construed to impair or otherwise affect:
(i) the authority granted by law to an executive department or agency, or the head thereof; or
(ii) the functions of the Director of the Office of Management and Budget relating to budgetary, administrative, or legislative proposals.
(b) This order shall be implemented consistent with applicable law and subject to the availability of appropriations.
(c) This order is not intended to, and does not, create any right or benefit, substantive or procedural, enforceable at law or in equity by any party against the United States, its departments, agencies, or entities, its officers, employees, or agents, or any other person.
DONALD J. TRUMP
THE WHITE HOUSE,
April 23, 2025.
Education
Tctm Kids It Education – changes name to VisionSys AI Inc
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5-day change | 1st Jan Change | ||
22,252.86 PTS |
+0.50% | +2.13% | +15.29% |
Published on 09/15/2025
at 08:34 am EDT
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Education
Classover Launches AI Learning Genome for K-12 Education Platform
Classover (NASDAQ:KIDZ) has launched its AI Learning Genome in a secure AWS sandbox environment, marking a significant step toward creating an AI tutor with long-term memory capabilities. This innovative system securely stores and builds upon each student’s learning interactions, creating a structured “growth archive” of educational progress.
CEO Stephanie Luo emphasized that this technology will transform fragmented lessons into a comprehensive educational journey. The Learning Genome aims to preserve every lesson, question, and achievement as part of a lasting educational record, offering parents enhanced transparency into their children’s learning progress.
This development positions Classover as a pioneer in AI-powered education, establishing a framework where learning data becomes the foundation for continually refined, personalized instruction.
Classover (NASDAQ:KIDZ) ha lanciato il suo AI Learning Genome in un ambiente sandbox sicuro di AWS, segnando un passo importante verso la creazione di un tutor IA dotato di memoria a lungo termine. Questo sistema innovativo archivia in modo sicuro e costruisce sulla base delle interazioni di apprendimento di ogni studente, creando un archivio di crescita strutturato del progresso educativo.
La CEO Stephanie Luo ha sottolineato che questa tecnologia trasformerà lezioni frammentate in un percorso educativo completo. Il Learning Genome mira a conservare ogni lezione, domanda e risultato come parte di un fascicolo educativo duraturo, offrendo ai genitori una maggiore trasparenza sul progresso di apprendimento dei propri figli.
Questo sviluppo posiziona Classover come pioniere nell’istruzione guidata dall’IA, creando un quadro in cui i dati di apprendimento diventano la base per un’istruzione personalizzata e continuamente affinata.
Classover (NASDAQ:KIDZ) ha lanzado su AI Learning Genome en un entorno seguro de sandbox de AWS, marcando un paso significativo hacia la creación de un tutor de IA con capacidad de memoria a largo plazo. Este sistema innovador almacena de forma segura y se apoya en cada interacción de aprendizaje de los estudiantes, creando un archivo de crecimiento estructurado del progreso educativo.
La directora ejecutiva Stephanie Luo señaló que esta tecnología transformará lecciones fragmentadas en un recorrido educativo integral. El Learning Genome busca conservar cada lección, pregunta y logro como parte de un registro educativo duradero, ofreciendo a los padres una mayor transparencia sobre el progreso de aprendizaje de sus hijos.
Este desarrollo posiciona a Classover como pionero en la educación impulsada por IA, estableciendo un marco en el que los datos de aprendizaje se convierten en la base para una instrucción personalizada y continuamente refinada.
Classover(나스닥:KIDZ)는 AWS의 안전한 샌드박스 환경에서 AI Learning Genome을 시작했으며, 장기 기억 기능을 가진 AI 튜터를 만드는 중요한 진전에 도달했다. 이 혁신적인 시스템은 각 학생의 학습 상호작용을 안전하게 저장하고 그 위에 구축하며, 교육 진행 상황의 체계적인 “성장 기록”을 만든다.
CEO Stephanie Luo는 이 기술이 산재된 수업을 포괄적인 학습 여정으로 바꿀 것이라고 강조했다. Learning Genome은 모든 수업, 질문, 성취를 지속 가능한 교육 기록의 일부로 보존하는 것을 목표로 하며, 부모에게 자녀의 학습 진행에 대한 투명성을 향상시켜 줄 것이다.
이 개발은 Classover를 AI 기반 교육의 선두주자로 자리매김시키며, 학습 데이터가 지속적으로 다듬어지고 개인화된 지시의 기초가 되는 프레임워크를 확립한다.
Classover (NASDAQ:KIDZ) a lancé son AI Learning Genome dans un environnement sandbox sécurisé AWS, marquant une étape importante vers la création d’un tuteur IA doté d’une mémoire à long terme. Ce système innovant stocke et se nourrit en toute sécurité des interactions d’apprentissage de chaque élève, créant une archive de progression éducative structurée, dite « archive de croissance ».
La PDG Stephanie Luo a souligné que cette technologie transformera des leçons fragmentées en un parcours éducatif global. Le Learning Genome vise à préserver chaque leçon, chaque question et chaque réussite dans un dossier éducatif durable, offrant aux parents une meilleure transparence sur les progrès d’apprentissage de leurs enfants.
Ce développement positionne Classover comme pionnier dans l’éducation pilotée par l’IA, établissant un cadre où les données d’apprentissage deviennent la base d’instructions personnalisées et continuellement affinées.
Classover (NASDAQ:KIDZ) hat sein AI Learning Genome in einer sicheren AWS-Sandbox-Umgebung gestartet und damit einen bedeutenden Schritt in Richtung eines KI-Tutors mit Langzeitgedächtnis gemacht. Dieses innovative System speichert sicher und baut auf den Lerninteraktionen jedes Schülers auf, und erstellt ein strukturiertes “Wachstumsarchiv” des Bildungsfortschritts.
CEO Stephanie Luo betonte, dass diese Technologie fragmentierte Lektionen in eine umfassende Bildungsreise verwandeln wird. Das Learning Genome zielt darauf ab, jede Lektion, Frage und Leistung als Teil eines bleibenden Bildungsdokuments zu bewahren und den Eltern mehr Transparenz über den Lernfortschritt ihrer Kinder zu bieten.
Diese Entwicklung positioniert Classover als Pionier in der KI-gesteuerten Bildung und schafft einen Rahmen, in dem Lernendaten die Grundlage für kontinuierlich verfeinerte, personalisierte Anleitungen bilden.
أطلقت Classover (المدرجة في ناسداك: KIDZ) AI Learning Genome في بيئة sandbox آمنة على AWS، مما يمثل خطوة مهمة نحو إنشاء مُدرِّس ذكاء اصطناعي ذا ذاكرة طويلة الأمد. هذا النظام المبتكر يخزن بأمان ويتراكم على كل تفاعل تعليمي للطالب، مكوّناً “أرشيف نمو” من التقدّم التعليمي بشكل منظم.
أكّدت الرئيسة التنفيذية ستيفاني لُو أن هذه التكنولوجيا ستحوّل الدروس المجزأة إلى مسار تعليمي شامل. يهدف Learning Genome إلى الاحتفاظ بكل درس، سؤال، وإنجاز كجزء من سجل تعليمي دائم، مما يوفر للآباء شفافية أكبر في تقدم تعلم أطفالهم.
هذا التطور يجعل Classover رائدًا في التعليم المعتمد على الذكاء الاصطناعي، وهو يضع إطاراً تصبح فيه بيانات التعلم أساساً لتعليم مخصص ومحسن باستمرار.
Classover(纳斯达克代码:KIDZ) 已在 AWS 安全的沙箱环境中推出其 AI Learning Genome,标志着朝着具备长期记忆能力的人工智能导师迈出的重要一步。该创新系统能够安全地存储并建立在每位学生的学习互动之上,创建一个结构化的教育进展“成长档案”。
首席执行官 Stephanie Luo 强调,这项技术将把零散的课程转化为一个全面的教育旅程。Learning Genome 旨在把每一课、每一个问题和每一次成就都保留为持续的教育记录的一部分,为家长提供更高的透明度,以了解子女的学习进展。
这一发展使 Classover 成为 AI 驱动教育的先驱,建立一个学习数据成为持续优化、个性化教学基础的框架。
Positive
- First-mover advantage in implementing AI with long-term memory for education
- Secure AWS-powered infrastructure ensures data protection
- Enhanced personalization capabilities for student learning
- Improved transparency for parents tracking educational progress
Negative
- Currently only launched in sandbox environment, not fully implemented
- Success of the technology remains unproven in real-world applications
Insights
Classover’s AI Learning Genome represents a strategic advancement in personalized education technology, potentially creating competitive differentiation in the growing edtech market.
Classover’s introduction of the AI Learning Genome marks a significant technological advancement in educational AI. Unlike conventional edtech solutions that treat learning sessions as isolated events, this development creates a persistent memory architecture for their AI tutor platform. By implementing this in a secure AWS sandbox environment first, the company is taking a measured approach to deployment while addressing the critical data security concerns inherent in educational technology.
The concept of an AI system that maintains comprehensive learning histories represents a fundamental shift in personalized education delivery. Traditional adaptive learning platforms typically rely on point-in-time assessments rather than longitudinal learning patterns. By preserving the entire interaction history between student and AI, Classover is building technological infrastructure for truly personalized instruction that more closely mirrors how human teachers develop relationships with students over time.
This development positions Classover as a potential first-mover in long-term memory AI tutoring systems. While the educational technology market is crowded with adaptive learning solutions, few have successfully implemented persistent memory architectures that maintain comprehensive student histories. The ability to recall past learning challenges, breakthroughs, and patterns could create meaningful differentiation in an increasingly competitive market.
From a product development perspective, this represents an evolution rather than revolution – the technology is launching in a controlled sandbox rather than immediately deploying to the full user base. However, the market for AI-powered educational tools continues to expand rapidly, and establishing early leadership in memory-enabled tutoring could strengthen Classover’s competitive position against both established players and emerging startups in the K-12 educational technology sector.
NEW YORK, NY / ACCESS Newswire / September 15, 2025 / Classover Holdings, Inc. (Nasdaq:KIDZ; KIDZW) (“Classover” or the “Company), a leading provider of K-12 educational AI, today announced the launch of its AI Learning Genome in a secure sandbox environment powered by Amazon Web Services.
The initiative is the Companys first step toward equipping its AI Tutor with long-term memory – enabling it to recall and build upon each child’s unique learning journey. Within the sandbox, every student-AI interaction is securely preserved, forming a structured “growth archive” that captures learning milestones, challenges, and breakthroughs over time. The Company believes this will significantly enhance personalized learning.
“Education is not a series of isolated lessons – it’s a lifelong journey. By treating each child’s learning record as a living archive, we are laying the foundation for truly personalized instruction,” said Stephanie Luo, CEO of Classover. “Just as genomes encode the blueprint of life, the Learning Genome captures the blueprint of a child’s education.”
For parents, the AI Learning Genome is designed to ensure that a child’s educational story is no longer fragmented or forgotten. Each lesson, question, and achievement becomes part of a lasting record, offering greater transparency and confidence in how their child is growing.
The sandbox launch also reflects Classover’s broader vision: to establish a new framework for AI-powered education where data is not just consumed, but preserved, studied, and used to continually refine instruction. By taking this first step, Classover signals its commitment to shaping AI tutors that feel less like software – and more like real teachers who remember.
As adoption of AI in education accelerates worldwide, Classover believes its introduction of the AI Learning Genome positions it as a first mover in setting a new standard: treating learning data not as disposable, but as the foundation of a lifelong educational roadmap.
About Classover
Founded in 2020 and headquartered in New York, Classover (Nasdaq: KIDZ) is a pioneer of online and AI-powered K-12 education solutions. From live tutoring to cutting-edge AI research, Classover empowers students, parents, and schools with accessible, high-quality learning experiences worldwide.
Forward-Looking Statements
This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on Classover’s current beliefs, expectations and assumptions regarding the future of Classover’s business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of Classover’s control including, but not limited to: Classover’s ability to execute its business model, including obtaining market acceptance of its products and services; Classover’s financial and business performance, including financial projections and business metrics and any underlying assumptions thereunder; Classover’s ability to maintain the listing of its securities on Nasdaq; changes in Classover’s strategy, future operations, financial position, estimated revenue and losses, projected costs, prospects and plans; Classover’s ability to attract and retain a large number of customers; Classover’s future capital requirements and sources and uses of cash; regulatory changes related to crypto assets; fluctuations in the price of crypto assets; risks related to the custody of crypto assets, including security risks; Classover’s ability to attract and retain key personnel; Classover’s expectations regarding its ability to obtain and maintain intellectual property protection and not infringe on the rights of others; changes in applicable laws or regulations; and the possibility that Classover may be adversely affected by other economic, business, and/or competitive factors. These risks and uncertainties also include those risks and uncertainties indicated in the Classover’s filings with the SEC. Classover’s actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements.
Any forward-looking statement made by Classover in this press release is based only on information currently available to Classover and speaks only as of the date on which it is made. Classover undertakes no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.
Contacts:
Classover Holdings Inc.
ir@classover.com
800-345-9588
SOURCE: Classover Holdings, Inc.
View the original press release on ACCESS Newswire
FAQ
What is Classover’s (KIDZ) AI Learning Genome and how does it work?
Classover’s AI Learning Genome is a system that creates a structured ‘growth archive’ of student-AI interactions, storing learning milestones, challenges, and breakthroughs over time to enable personalized instruction through long-term memory capabilities.
How does Classover’s (KIDZ) new AI technology benefit students and parents?
The technology creates a comprehensive record of each student’s educational journey, allowing for more personalized instruction while providing parents with improved transparency and tracking of their child’s learning progress.
When will Classover (KIDZ) implement the AI Learning Genome beyond the sandbox environment?
The press release does not specify a timeline for full implementation beyond the current sandbox environment powered by AWS.
What security measures does Classover (KIDZ) use to protect student data?
Classover’s AI Learning Genome operates in a secure sandbox environment powered by Amazon Web Services (AWS), ensuring student interactions are securely preserved.
How does Classover’s (KIDZ) AI Learning Genome differ from traditional educational software?
Unlike traditional educational software, the AI Learning Genome preserves and builds upon past interactions, treating learning data as a foundation for ongoing personalized instruction rather than disposable information.
Education
TCTM Kids Education Changes Name to VisionSys AI, Shifts to AI Focus

About VisionSys AI Inc (formerly known as TCTM Kids IT Education Inc.)
VSA is an emerging technology services company, specializing in brain machine interaction businesses leveraging the core algorithms and related software and hardware systems. We are dedicated to advancing AI-powered healthcare and biotech solutions that transform industries. Our mission is to empower individuals and organizations through intelligent systems, bridging innovation with real-world impact to create a smarter, more connected future.
Safe Harbor Statement
This announcement contains forward-looking statements made under the “safe harbor” provisions of Section 21E of the Securities Exchange Act of 1934, as amended, and the
For further information, please contact:
Investor Relations Contact
VisionSys AI Inc (formerly known as TCTM Kids IT Education Inc.)
Email: info@visionsysai.com
View original content:https://www.prnewswire.com/news-releases/tctm-kids-it-education-inc-announces-name-change-to-visionsys-ai-inc-302556027.html
SOURCE TCTM Kids IT Education Inc.
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