[KSA, Riyadh — 2025.7.21] Foxconn Interconnect Technology (FIT, 6088-HK), a subsidiary of Hon Hai Precision Industry Co., Ltd. (2317-TW), is continuing to gain momentum in the Middle East with its electric vehicle (EV) charging business.Voltaira, FIT’s global one-mobility brand, has announced that its Royal Series AC Charger has officially received SASO certification, reinforcing the brand’s commitment to excellence and compliance in the Kingdom of Saudi Arabia.This achievement comes on the heels of a series of strategic developments. In May, FIT announced the formation of its joint venture Smart Mobility, based in Riyadh, to drive localized operations in the region. Smart Mobility’s first launch of products — including the Voltaira Anoles Series AC Charger, a recipient of the iF Design Award, and the high-power Voltaira SE DC Charger — have already been successfully deployed and tested in Saudi Arabia, with both products also receiving SASO certification.The Anoles SeriesAC Charger has received strong market interest, with early orders secured shortly after launch, signaling a clear product-market fit in the region. In parallel, the Voltaira SE DC Charger has been invited for operational use at several prominent Government locations, a testament to its high-performance reputation and compliance with public sector standards. Furthermore, trial operations of Smart Mobility’s Charging Point Management System (CPMS) have officially commenced — marking a critical milestone in Voltaira’s move toward delivering not just hardware, but complete smart mobility solutionstailored for the MENA region.The newly certified Royal Series AC Charger further exemplifies FIT’s design and engineering capabilities. Purpose-built for the MENA region, the Royal Series features bold geometric aesthetics, a refined black-and-gold finish, and a signature gold cable hook that elegantly manages the 7-meter charging cable — an embodiment of user-centric design, performance, and regional sophistication.Offered in 7, 11, and 22 kW configurations, the Royal AC Charger adds to Voltaira’s growing portfolio of premium AC and DC charging solutions tailored for the region’s unique environmental, cultural, and functional requirements.With multiple iF Design Awards and Red Dot recognitions, FIT’s in-house design team continues to deliver world-class hardware that meets and exceeds the region’s high expectations on performance, aesthetics, and quality.Looking ahead, FIT Group is actively preparing for the next phase of localization — a planned Smart Mobility manufacturing facility in Saudi Arabia, supporting the Kingdom’s Saudi Made vision. This move will not only enable faster deployment and tailored production but also demonstrate FIT’s long-term commitment to building local value chains in support of Vision 2030.“The Royal Series is more than a product launch; it’s a validation of our MENA-specific design strategy and a signal of FIT’s long-term intent in the region,” said Waheed Khairy, Chief Sales Officer at Smart Mobility. “With our SASO-certified portfolio and plans for local manufacturing underway, we’re positioning Smart Mobility as a key contributor to Saudi Arabia’s EV charging ecosystem.”About FIT Hon Teng Foxconn Interconnect Technology (FIT) is a leading global solutions developer and manufacturer, cultivating connectivity for a better world. With unsurpassed capabilities in development, research, manufacturing engineering and design, production, supply chain, and go-to-market planning for world class brands and private label products spanning B2C and B2B categories, FIT is at the forefront of worldwide technological trends delivering compelling user experiences at scale. With offices and manufacturing sites located in Asia, the Americas and Europe, FIT is a global leader in the manufacturing of high precision interconnect components. For more information, visit FIT’s website: https://www.fit-foxconn.com.

Pflegelaien formulieren in Artikeln oder Büchern immer wieder missverständlich von „Pflegerobotern“. Dadurch entsteht beim Leser der Eindruck, die Maschinen würden pflegen, vielleicht gar Pflegefachleute ersetzen können. Das ist falsch, wie auch Alice Lin, Director of UX/UI Design, Hon Hai Technology Group (Foxconn) im Interview deutlich macht. Begriffe im englischen wie clinical assistant robot oder collaborative robot (Cobot) sind da weitaus treffender. Die intelligenten Helfer übernehmen Transportaufgaben und erledigen Bringdienste, können leichte Routineaufgaben lösen und die Pflegeprofis informieren, wenn sie irgendwo noch dringender als ohnehin schon gebraucht werden. Sie pflegen keine Menschen – nicht einmal die fortschrittlichsten Modelle tun das bislang. Das soll weder die Leistungen der Serviceroboter schmälern noch ihre Wichtigkeit in Frage stellen. Gerade Pflegenden ist es hochwillkommen wenn patientenferne Aufgaben erledigt werden, ohne ihre ohnehin knappe Zeit in Anspruch zu nehmen. Die Expertise von Pflegeprofis gehört an die Menschen, die sie brauchen. Das erfordert Zeit, die nicht durch Hol- und Bringedienste verschwendet werden sollte. Kurz: Roboter dienen der Pflege – aber sie pflegen nicht. Ob das irgendwann einmal anders werden wird, ist offen. Sicher ist jedoch: die hierzulande häufig verwendete Bezeichnung „Pflegeroboter“ ist irreführend.Alice Lin (Foxconn) im InterviewDer sogenannte Nurabot nutzt KI‑Modelle, Digital‑Twin‑Training und ist aktuell in Pilotprojekten im Smart Hospital Taiwan im Einsatz. Sein volles Potenzial im klinischen Alltag wird sich jedoch erst nach Abschluss umfassender Feldstudien und einem breiten Praxiseinsatz in unterschiedlichen Einrichtungen zeigen.Jochen Gust: Welche konkreten Aufgaben kann der Nurabot derzeit in Krankenhäusern oder Pflegeeinrichtungen übernehmen, und wie interagiert er mit Personal und Patienten?Alice Lin: Der Nurabot wird derzeit auf der Station W106 des Taichung Veterans General Hospital in Taiwan klinisch erprobt (das Krankenhaus zählt laut Newsweek 2025 zu den 100 besten Smart Hospitals weltweit). Es handelt sich um einen kollaborativen Serviceroboter, der insbesondere bei wiederkehrenden logistischen Aufgaben im Klinikalltag zum Einsatz kommt, wie z.B. der Lieferung von Medikamenten und Proben, Erkennung von übermäßigem Umgebungslärm, er verfügt auch über Audio- und Wegweiser-Funktionen die Patienten helfen sich innerhalb der Station besser zurechtzufinden. Das stärkt die Orientierung der Patienten und ihr Sicherheitsgefühl während des Krankenhausaufenthalts. Der Nurabot interagiert mit dem medizinischen Personal über Sprachansagen, Touchscreen und ein Cloud-basiertes Dispatch-System. Gegenüber Patienten tritt er freundlich und sanft auf, gibt Medikamenten-, Pflege- und Entlassungshinweise. Der Roboter stellt einfache, standardisierte Fragen zum aktuellen Befinden der Patienten, um die Pflege bei Routinedokumentationen zu unterstützen.Dank seines multimodalen KI-Wahrnehmungssystems sowie Echtzeit-Positionierungs- und Navigationsfunktionen kann der Roboter Wege autonom planen, Hindernisse vermeiden und sich sicher in dynamischen und belebten Umgebungen bewegen. Ziel des Designs ist es nicht, menschliche Interaktion zu ersetzen, sondern das Pflegepersonal bei sich wiederholenden logistischen Aufgaben zu entlasten, damit mehr Zeit für komplexe und emotionale Pflege bleibt.Aktuell kein Fokus auf Menschen mit DemenzJochen Gust: Gibt es Anwendungsfälle oder Pilotprojekte mit Menschen mit Demenz? Welche Beobachtungen oder Herausforderungen ergaben sich?Alice Lin: Der Fokus von Nurabot liegt zunächst auf seiner Rolle als kollaborativer Serviceroboter. Von der Entwicklung bis zum Pilotbetrieb vergingen nur zehn Monate, seit April 2025 läuft ein Test, der bis Ende 2025 andauert. Der erste Einsatz erfolgt auf einer der geschäftigsten Stationen Taiwans, der W106 mit 68 Betten, zuständig für Lungenheilkunde und Mund-Kiefer-Chirurgie (u.a. bei Lungenkrebs, COPD, Asthma).Mithilfe von digitaler Zwillingstechnologie wurde die Station vorab virtuell abgebildet, wodurch 80 % möglicher Risiken schon vor dem Realbetrieb minimiert wurden. Unsere Praxiserfahrungen zeigten: Das „ungefährliche“ Design, ruhige Bewegungen und sanfte Sprache des Nurabot helfen, Ängste und Schreckreaktionen älterer Patienten zu reduzieren. Der Roboter kommt nicht direkt in physischen Kontakt mit Patienten, sondern unterstützt das Pflegepersonal – etwa bei Gesundheitsinformationen per Audio-Video-Format. Diese begleitende Rolle fördert Vertrauen. Zukünftig sind gezielte Studien auch für Demenzbetroffene geplant. Aktuell liegt hier aber kein Fokus.Jochen Gust: Inwieweit waren Pflegefachpersonen und andere Krankenhausmitarbeiter an der Entwicklung und Erprobung beteiligt?Alice Lin: Unser Ausgangspunkt war der reale Arbeitsalltag des Pflegepersonals. Eine Pflegekraft geht täglich über 10.000 Schritte – vieles entfällt allein auf Botengänge. Das Krankenhausmanagement und das Pflegepersonal waren offen gegenüber Innovation. Unser UX-Team interviewte und begleitete die Stationsleitung und Pflegekräfte auf der W106 direkt bei der Arbeit, um die zeitintensivsten und monotonsten Tätigkeiten zu identifizieren. Diese Erkenntnisse flossen direkt in die Funktionsgestaltung ein: Medikamenten- und Probenlieferung, Materialversorgung, Gesundheitsvideos. In der Designphase half das Pflegepersonal bei der Wegplanung und bei der Simulation realer Arbeitsabläufe. Auch in der Testphase erfolgten ständige Anpassungen durch das Foxconn-Team.Pflegeprofis spielten also eine Schlüsselrolle, um den Nurabot praxisnah, alltagstauglich und akzeptiert zu gestalten. Technisch wurde zudem eng mit Kawasaki Heavy Industries und NVIDIA zusammengearbeitet.Jochen Gust: Welche langfristige Rolle sehen Sie für den Nurabot – als Ergänzung oder Automatisierung auch komplexer Tätigkeiten?Alice Lin: Ziel ist es, das Gesundheitssystem resilienter zu machen, indem repetitive, belastende Aufgaben übernommen werden, um die Pflege zu entlasten. Mit wachsender KI-Entwicklung wird Nurabot zunehmend auch anspruchsvollere Aufgaben übernehmen, jedoch immer im Sinne der „Mensch-Maschine-Kollaboration“. Er soll Pflegekräfte unterstützen, nicht ersetzen. Die emotionale und empathische Arbeit bleibt weiterhin dem Menschen vorbehalten.Jochen Gust: Gibt es konkrete Pläne für einen Rollout in Europa bzw. Deutschland?Alice Lin: Digitale Gesundheit gehört bei Foxconn zu den drei strategischen Zukunftsfeldern (neben Robotik und E-Mobilität). Die Kerntechnologien sind Halbleiter, KI und neue Kommunikationssysteme. Ein Markteintritt in Europa, speziell Deutschland, wird aktiv geprüft. Voraussetzung wären jedoch u.a. Tests in Kooperationskliniken, CE-Zertifizierung und der Aufbau von Service- und Wartungsstrukturen gemäß lokalen Vorgaben. Die Kosten variieren je nach Einsatzgröße, Funktionsumfang und Serviceverträgen. Aktuell bietet Foxconn Komplettpakete an (Hardware, KI-Lizenzen, Cloud-Anbindung, Wartung).[Source: https://demenz-im-krankenhaus.de/2025/07/17/interview-mit-alice-lin-was-einer-der-weltweit-fortschrittlichsten-versorgungsroboter-im-dienste-der-pflege-derzeit-kann-und-was-nicht/]

[Source: MLB Draft League]Hon Hai Technology Group (“Foxconn”) (TWSE:2317) has partnered with the Mahoning Valley Scrappers to present their 2025 season. This major partnership will provide Foxconn with a significant season-long presence with the Scrappers through community engagement and hospitality. Foxconn will sponsor five unique team specialty jersey nights with jersey proceeds benefiting local community organizations. Foxconn will also sponsor the weekly “Every Sunday Matters” promotion which gives back to local charities every Scrappers Sunday home game.Foxconn states, “Foxconn is proud to partner with the Mahoning Valley Scrappers for the 2025 MiLB Draft League Season. Foxconn is looking forward to another great season from the Mahoning Valley Scrappers and we pride ourselves on the communities in which we operate. We look forward to enjoying America’s past time with thousands of those who call the Mahoning Valley home and who visit the Mahoning Valley.“ “The Mahoning Valley Scrapper’s partnership is just one more example of our dedication to our community.”, Foxconn said.Jordan Taylor, Executive Vice President, HWS Baseball said, “We are excited to have Foxconn return as our presenting sponsor this season, and appreciate their commitment to our organization and the Valley as a whole, as they allow us to continue providing a quality experience for our fans.”About FoxconnEstablished in 1974 in Taiwan, Hon Hai Technology Group (“Foxconn”) (TWSE:2317) is the world’s largest electronics manufacturer and leading technological solutions provider, ranking 32nd among the Fortune Global 500. In 2024, revenue totaled TWD6.86 trillion (approx. USD208 billion). The Group’s market share in electronics manufacturing services (EMS) exceeds 40%. The Group operates over 230 campuses across 24 countries and is one of the world’s largest employers with approx. 900,000 employees during peak manufacturing season. The Group has expanded its capabilities into the development of electric vehicles, digital health, and robotics, and three key technologies – next-generation communications technology, AI, and semiconductors – which are key to driving its long-term growth strategy. It is dedicated to championing environmental sustainability in the manufacturing process and serving as a best-practice model for global enterprises. To learn more, visit www.honhai.com 

Multimodal Trajectory Prediction Model Competitively Recognized Internationally10 July 2025, Taipei, Taiwan – Hon Hai Research Institute (HHRI), an R&D powerhouse of Hon Hai Technology Group (Foxconn) (TWSE: 2317), the world’s largest electronics manufacturer and technology service provider, has been recognized for its competitive work in trajectory prediction in autonomous driving technology. The landmark achievements in ModeSeq, taking top spot in the Waymo Open Dataset Challenge and presenting at CVPR 2025, among the world’s most influential AI and computer vision conferences, gathering top-tier tech firms, research institutions, and academic leaders, highlight HHRI’s growing leadership and technical excellence on the international stage. “ModeSeq empowers autonomous vehicles with more accurate and diverse predictions of traffic participant behaviors,” said Yung-Hui Li, Director of the Artificial Intelligence Research Center at HHRI. “It directly enhances decision-making safety, reduces computational cost, and introduces unique mode-extrapolation capabilities to dynamically adjust the number of predicted behavior modes based on scenario uncertainty.”Figure 1: Illustrates the ModeSeq workflow, showing how the model anticipates multiple possible future trajectories (highlighted by red vehicle icons and arrows). It progressively analyzes the scenario and assigns confidence scores (e.g., 0.2) to each potential path.   HHRI’s Artificial Intelligence Research Center, in collaboration with City University of Hong Kong, on June 13, presented "ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling" at CVPR 2025(IEEE/CVF Conference on Computer Vision and Pattern Recognition), where its paper was among only the 22% that were accepted. The multimodal trajectory-prediction technology overcomes the limitations of prior methods by both preserving high performance and delivering diverse potential outcome paths. ModeSeq introduces sequential pattern modeling and employs an Early-Match-Take-All (EMTA) loss function to reinforce multimodal predictions. It encodes scenes using Factorized Transformers and decodes them with a hybrid architecture combining Memory Transformers and dedicated ModeSeq layers. The research team further refined it into Parallel ModeSeq, which claimed victory in the prestigious Waymo Open Dataset (WOD) Challenge – Interaction Prediction Track at the CVPR WAD Workshop. The team’s winning entry surpassed strong competitors from the National University of Singapore, University of British Columbia, Vector Institute for AI, University of Waterloo and Georgia Institute of Technology. Building on their success from last year – where ModeSeq placed second globally in the 2024 CVPR Waymo Motion Prediction Challenge – this year’s Parallel ModeSeq emerged triumphant in the 2025 Interaction Prediction track. Led by Director Li of HHRI’s AI Research Lab, in collaboration with Professor Jianping Wang’s group at City University of Hong Kong and researchers from Carnegie Mellon University, ModeSeq outperforms previous approaches on the Motion Prediction Benchmark—achieving superior mAP and soft-mAP scores while maintaining comparable minADE and minFDE metrics. Figure 2: Director Yung-Hui Li (right) and Researcher Ming-Chien Hsu at CVPR 2025 presenting the latest advances in autonomous driving using ModeSeq.   About Hon Hai Research Institute Founded in 2020 under Hon Hai Technology Group, the institute comprises five research centers and one laboratory. Each unit houses high-tech researchers dedicated to forward-looking studies over a 3–7 year horizon. Their mission is to strengthen long-term innovation and product development to support Foxconn’s transformation toward a “Smart First” future and to bolster the company’s “3+3+3” strategic operating model.

 AI-centric, smart automotive platform will accelerate the transition towards software-defined mobility.ERLANGEN, Germany/ June 25, 2025 –Elektrobit today announced the signing of a joint development agreement (JDA) with Hon Hai Technology Group (Foxconn), one of the world’s largest electronics manufacturers, to jointly develop EV.OS – a flexible and AI-centric software platform designed to support the rapid transformation towards software-defined electric vehicles.   Together Elektrobit and Foxconn intend to create a smart EV platform, EV.OS, including hardware and software, to develop industry-first scaling supply chain innovations. The companies share a common ambition to develop, innovate and release to market smart automotive platform solutions that reduce complexity, total cost of ownership, scale production and accelerate the commoditization of the mobility industry for the benefit of the consumer. The smart EV platform will include a reference E/E architecture (EV.EEA), a non-differentiating EV operating system, and an EV application.   When completed, EV.OS and EV.EEA will form the backbone of a future-ready SDV platform, enabled by Elektrobit’s software platform integration capabilities. It will support multiple high-performance and real-time ECUs and enable service-oriented architectures across all functional domains – including a semantic vehicle API for third-party applications. Development will be supported by an efficient CI/CT/CD toolchain and a Level-3 virtualized environment.   “Elektrobit has a unique value proposition in automotive embedded software development with regards to both, development of own software products, and integration and homologation of large-scale automotive series projects. Our collaboration with Foxconn is another milestone in the evolution of software-defined vehicles”, said Maria Anhalt, CEO of Elektrobit. “By combining Elektrobit’s automotive software expertise with Foxconn’s manufacturing and hardware innovation, we are creating a scalable platform that reduces complexity, shortens development cycles and supports future mobility business models.”   About Elektrobit Elektrobit is an award-winning and visionary global vendor of embedded and connected software products and services for the automotive industry. A leader in automotive software with over 35 years of serving the industry, Elektrobit's software powers over five billion devices in more than 600 million vehicles and offers flexible, innovative solutions for car infrastructure software, connectivity & security, automated driving and related tools, and user experience. Elektrobit is a wholly-owned, independently-operated subsidiary of Continental. For more information, visit us at elektrobit.com.

Pioneering a new foundation for quantum cryptography with meta-complexity13 June 2025, Taipei, Taiwan  – Hon Hai Research Institute (HHRI), the research arm of Hon Hai Technology Group (Foxconn) (TWSE: 2317), the world’s largest electronics manufacturer and technology service provider, has achieved a significant breakthrough in quantum computing. Researchers from HHRI’s Quantum Computing Division have demonstrated the possibility of constructing quantum cryptography without relying on traditional one-way functions, using instead a novel theoretical framework known as meta-complexity. This groundbreaking result has been accepted at Crypto, the world’s leading conference in cryptography, highlighting HHRI’s advanced research capabilities and its growing influence in the global quantum technology landscape. Figure 1: Overview of the relationships between key quantum cryptographic primitives and quantum computational complexity. Black lines indicate known results or straightforward inferences; red lines highlight HHRI’s new discoveries.This groundbreaking research, led by Dr. Taiga Hirooka, a researcher at HHRI, in collaboration with Professor Tomoyuki Morimae of Kyoto University and scientific advisor to HHRI, is the first to establish a deep theoretical connection between core tools in quantum cryptography—such as one-way puzzles and quantum random number generators—and a fundamental decision problem known as GapK. The GapK problem centers on determining whether a given piece of information is intrinsically complex or can be succinctly described, offering a novel lens through which to understand the foundations of quantum cryptography.   This discovery not only establishes a new theoretical foundation for quantum cryptography, but also paves the way for the development of next-generation Proofs of Quantumness—a critical step toward constructing secure and verifiable quantum technologies. The work aligns with concurrent research from two international teams and is widely seen as marking a new chapter in the evolution of quantum cryptography.   Crypto (International Cryptology Conference) is one of the most prestigious and longest-running academic conferences in the field of cryptography. Established in 1981, it has become a cornerstone of the discipline—alongside Eurocrypt and Asiacrypt—and is one of the three flagship events organized by the International Association for Cryptologic Research (IACR). Crypto attracts leading researchers and industry pioneers from around the globe and has served as the launchpad for numerous foundational advances in cryptographic theory and practice. Publishing at Crypto is widely regarded as one of the highest honors in the field, representing a hallmark of excellence in theoretical rigor, technical innovation, and lasting impact.   HHRI’s latest breakthrough, now accepted at Crypto, not only enhances Taiwan’s presence in the field of quantum cryptography but also highlights Foxconn’s sustained investment and growing expertise in quantum computing. The Hon Hai Research Institute will continue to advance quantum computing research to drive global technological innovation and industrial progress. Crypto 2025：https://crypto.iacr.org/2025/   About Hon Hai Research Institute The institute, founded in 2020 and part of Hon Hai Technology Group (Foxconn), has five research centers. Each center has an average of 40 high technology R&D professionals, all of whom are focused on the research and development of new technologies, the strengthening of Foxconn’s technology and product innovation pipeline, efforts to support the Group’s transformation from "brawn" to "brains", and the enhancement of the competitiveness of Foxconn’s "3+3+3" strategy.

21 May 2025, Taipei, Taiwan – Foxconn continues to advance its digital health initiatives, unveiling a range of innovations at the 2025 GTC Taipei. Highlights include the AI-powered nursing collaborative robot, digital twin smart hospital development, and contributions to the global open-source medical imaging platform MONAI. These achievements will also be spotlighted during keynote sessions at GTC Taipei, underscoring Foxconn’s capabilities as a comprehensive smart healthcare solutions provider.   Leveraging Technology to Address Nursing Workforce Shortages: AI Collaborative Robot Enters Clinical Practice Amid the challenges of an aging population and critical nursing staff shortages, Foxconn has partnered with Taichung Veterans General Hospital (ranked among Newsweek’s World’s Best Smart Hospitals 2025), Kawasaki Heavy Industries, to co-develop Nurabot, an AI-powered nursing collaborative robot.          Nurabot is powered by Foxconn’s proprietary traditional Chinese large language model, FoxBrain, developed by the Hon Hai Research Institute (HHRI). The model supports TTS (text-to-speech), ASR (automatic speech recognition), and NLP (natural language processing), and is deployed via the Hon Hai Data Center. The robot is powered by Isaac for Healthcare, a physical AI platform built on NVIDIA’s three computers for healthcare robotics. NuraBot uses  the NVIDIA Jetson AGX Orin™system-on-moduleand is trainedusingNVIDIA Isaac Sim™ , a reference robotic simulation application built on NVIDIA Omniverse and running on NVIDIA OVX™ for physical-virtual simulation, enabling autonomous navigation, multimodal perception, and real-time environmental modeling.   In clinical applications, Nurabot performs repetitive tasks such as medication delivery, specimen transport, ward patrols, and patient education—helping reduce nurses’ workload by up to 30%. It also enhances care standardization and precision, enabling nursing staff to focus more on core patient care and clinical decision-making. Currently undergoing field trials at Taichung Veterans General Hospital, Nurabot is expected to be formally integrated into the hospital’s nursing team operations by the end of the year. Foxconn further elaborates on this application in the featured talk titled “AI Humanoid Collaborative Nursing Robots: Shaping the Future of Nursing and Care,” showcasing how AI and robotics help alleviate workforce burdens and reshape healthcare environments.   Launching a Smart Hospital Ecosystem: Digital Twin Deployment for Operational Simulation As part of its smart hospital initiatives, Foxconn is collaborating with several medical institutions under planning and construction, including the Evergreen Branch of Taichung Veterans General Hospital, Baishatun Tung Hospital – Mazu Hospital, and Cardinal Tien Hospital. These collaborations involveconstructingphysically accurate digital twins of smart medical environments with NVIDIA Omniverse™ libraries and technologies.   These digital twins are used across three stages of hospital development: planning and design, workflow simulation, and operational optimization. Even in the early stages of construction and operations, hospitals can simulate AI-driven clinical scenarios, optimize spatial flow, and validate service efficiency and patient experience in advance.   With the integration of NVIDIAVideo Search & Summarization Agent (VSS ), hospitals can analyze real-time video data, automatically identify medical events and anomalies, generate visual summaries, and send real-time alerts. These capabilities empower management teams to make timely, data-driven decisions that enhance care quality and operational performance.   These digital twin environments also serve as key deployment sites for Nurabot, enabling simulation of robot routes, task validation, and training scenarios in virtual space. This accelerates clinical onboarding and cross-site implementation, further optimizing hospital operations and realizing truly patient-centered smart healthcare services.   Contributing to MONAI Open-Source Medical AI Models: Advancing AI Imaging Innovation To advance core AI healthcare technologies, Foxconn has developed CoroSegmentater, a coronary artery segmentation model set to be contributed to the      MONAI Model Zoo as a shared open-source asset for the global medical AI community. Built on 256-slice CTA imaging and powered by MONAI’s Auto3Dseg framework, the model achieves high-precision 3D segmentation of cardiac and coronary structures. CoroSegmentater can be deployed on NVIDIA OVX™ and simulated using Isaac Sim™ to reconstruct heart anatomy and vascular dynamics. It supports various clinical applications, including AI-assisted diagnostics, preoperative planning, and patient communication. The model is being featured in a special session at GTC Taipei, presented by David Niewolny, Sr. Director of Healthcare Business Development at NVIDIA. This contribution reflects Foxconn’s R&D strength in smart healthcare algorithms and its commitment to advancing global medical AI through open collaboration.   Driving Digital Health Globalization and Expanding AI Healthcare Impact Through its collaborationwith NVIDIA and the cross-sector network of HiMEDt (Taiwan Digital Health Alliance), Foxconn is actively promoting the international expansion of Taiwan’s smart healthcare innovations. Moving forward, Foxconn will further enhance its smart hospital AI platforms, robotic applications, and clinical AI model development to transition global smart healthcare from proof-of-concept to large-scale implementation—paving the way toward a truly patient-centered intelligent care ecosystem.

19 May 2025, Taipei, Taiwan – Hon Hai Technology Group (“Foxconn”) (TWSE:2317) on Monday announced a strategic partnership with Thales Group of France in the fields of semiconductors and space, a move that deepens the industrial expertise and broadens the European footprint of the world’s largest electronics manufacturing service provider. Announced at Choose France, a flagship economic summit convened by French PresidentEmmanuel Macron, the first of two MOUs for Foxconn could aggregate additional European industrial investors to sustain an investment in excess of EUR250 million while ensuring a strong European leadership in an outsourced semiconductor assembly and test (OSAT) facility. Foxconn is exploring the potential in preliminary discussions with government-backed Thales and Radiall, a French connector and component maker. If successfully concluded, the facility would address the European aerospace, automotive, space telecoms and defense advanced packaging markets, while bringing together other European industrial investors. The OSAT project would use fan-out wafer level packaging (FOWLP), which would make such a facility a first in the second-largest economy of the European Union. With this development, Foxconn deepens its industrial expertise and global footprint, strengthening the resilience of the supply chain and making key investments in new businesses. The second MOU covers the domain of satellite constellations. Combining the excellence of Foxconn’s unparalleled advanced manufacturing and space technologies of Thales Alenia Space, a Joint Venture between Thales (67%) and Leonardo (33%), this initiative aims at exploring the value of developing together high quality/high-value series satellite production in order to provide superior technological content to customers for their large telecommunications satellite constellation projects in Low Earth Orbit. Foxconn is an emerging stakeholder in the space ecosystem, launching its own low earth orbit CubeSat in 2023 as proof-of-concept, expanding its next-generation beyond 5G (B5G) capabilities and entering satellite constellation manufacturing with the aim to industrialize the LEO sector with its half-century of ICT experience. Choose France, an annual event since 2018, seeks to promote the France’s economic attractiveness and encourage international investment across the country   About Foxconn here.