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.

19 May 2025, Taipei, Taiwan – Hon Hai Technology Group (“Foxconn”) (TWSE:2317) will kick off COMPUTEX 2025 with the industry's most complete set of solutions for enterprise, agentic and physical AI factories, including advanced superchip AI infrastructure systems featuring the NVIDIA GB300 NVL72 architecture,, as well as systems and solutions for humanoid robots and smart manufacturing platforms – all available from the world’s largest electronics manufacturing service provider. A centerpiece of Foxconn’s industry leadership at this year’s COMPUTEX will be Tuesday’s keynote by Foxconn Chairman Young Liu, outlining the competitive edge generative artificial intelligence plus robotics offer to enterprises in their quest for innovation and for Foxconn as it optimizes its three intelligent platforms. Thanks to genAI driving strong growth momentum in the global robotics industry, Foxconn’s collaboration with key partners will be a highlight of its exhibits this year covering robotics from application to manufacturing. “GenAI plus robotics can assist, augment and optimize the way humans can innovate,” said Chairman Liu. “Foxconn’s three smart platforms all are connected to NVIDIA’s brilliant technologies. With the progress of our Smart Manufacturing, Smart EV and Smart City, Foxconn will help accelerate AI factories to become the standard for enterprise IT transformation underpinned by the NVIDIA platform.” On the COMPUTEX stage for the first time, the Foxconn keynote begins at 0930 a.m. local time on 20 May 2025 on 7F at the Taipei Nangang Exhibition Center Hall 2. Foxconn continues to promote smart manufacturing at multiple locations around the world and is working with NVIDIA to optimize production processes through a variety of AI solutions. On the exhibit floor, at Foxconn Booth L0106, the physical display of NVIDIA GB300 NVL72 AI infrastructure for training and reasoning large language models (LLM) with mega-level parameters, represents the state-of-the-art computing core of the AI factory. Foxconn, which holds more than 40% of the global AI server market, is a major supplier of NVIDIA GB200 NVL72 and the upcoming GB300 NVL72 architecture. Moreover, the NVIDIA MGX 4U, also on display, is a highly flexible air-cooled server designed to meet the diverse computing needs of modern data centers. The system can be equipped with up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, combining advanced AI acceleration capabilities with professional-grade graphics performance to provide breakthrough acceleration for multiple workloads such as generative AI, graphics rendering, and video processing. Foxconn will also showcase the latest generation NVIDIA HGX B300 system. As the latest in the HGX architecture, B300 is designed for the AI inference era and has more powerful computing performance and higher memory capacity to meet the growing needs of AI model deployment. Continuing Foxconn's industry-leading vertical integration advantage in AI servers, the Group is also exhibiting a full range of high-speed signal, high-voltage power supply and liquid-cooled full-speed connection solutions, including: new generation AI chip slot solutions, motherboard PCIE high-speed connectors and cables, GB300 Power Clip, Busbar cable and other related products. Through these innovative solutions, Foxconn strengthens its AI server cooling integration capabilities and continues to provide efficient, stable and customizable thermal management services. In the field of robotics and smart manufacturing platforms, Foxconn’s Semiconductor Hybrid Robot will take a prominent place on the exhibit floor, combining its advanced visual recognition and precision motion technology to provide efficient and safe intelligent transportation solutions for the semiconductor industry. Meanwhile, the AI-powered Nurabot, jointly developed by Foxconn, Taichung Veterans General Hospital and Kawasaki Heavy Industries, leverages all three of NVIDIA’s computers for developing and deploying physical AI. Nurabot’s AI models are trained using their FoxBrain AI Factory powered by NVIDIA DGX SuperPOD, simulated using NVIDIA Omniverse, and deployed on NVIDIA Jetson.  This collaborative nursing robot is expected to be deployed to partner hospitals in Taiwan later this year andis estimated to be able to reduce nursing hours by 30% and improve care efficiency and quality.