Today, an increasing number of scientific papers, media repoerts, and television health programs - highlighting the increasing incidence of heart attacks and strokes. What is often overlooked is that a large portion of these cases are linked to atrial fibrillation (AF). In fact, AF is associated with more than 80% of strokes and heart attacks, and it significantly increases both the risk of having a stroke and the risk of dying from it.Even more alarming is the fact that most people with AF are unaware they have it. Current statistics indicate that only around 30% of individuals with AF know about  their condition, meaning millions of people worldwide are living with an undiagnosed, potentially life-threatening heart rhythm disorder.That is the reality that EDABK from Vietnam set out to change. Rather than relying on bulky ECG monitors or expensive medical devices, the team developed a low-power edge AI chip that could be embedded into the smartwatches and other wearables devices already used in daily life.  Their innovation, which won a Silver Medal at Taiwan's 2025 Best AI Awards, is a signal of where healthcare is headed: real-time, always-on, and hyper-personalized. "We chose to focus on atrial fibrillation detection because we saw a real, unmet need - one that current solutions haven't adequately addressed," said Nguyen Duc Minh, representative of Team EDABK. "We wanted to make AF monitoring accessible, low-cost, and capable of running entirely on a chip, without relying on the cloud."AF is typically detected through electrocardiograms (ECGs), which requires hospital visits and professional equipment. EDABK's idea was to use photoplethysmography (PPG) - the same light-based technology found in off-the-shelf wearables. While PPG data is noisier than ECG, the team developed a processing pipeline that enables reliable AF detection.They began with preprocessing and quantization of the raw PPG signal, followed by a novel Pi-K Plot technique to extract irregularities in heart rhythm. These signal is transformed into spikes and fed into a Spiking Neural Network (SNN) - a brain-inspired AI architecture optimized for low power consumption and low latency.SNNs represent a fundamental shift in how AI operates. Instead of running continuous computations, they activate only "spike" when meaningful data appears, mimicking the behavipr of biological neurons.  This event-driven architecture allows AI to run in real-time on small chips, using a fraction of the energy required by traditional neural networks. "Our model reduces RAM usage by more than 80%, while still detecting early warning signs of AF in real time," Minh explained. "It's built for wearables - devices with tight constraints on battery life, processing power, and form factor."The improvement is enormous, with no reliance on cloud services, users receive faster feedback, enhance privacy, and a more seamless user experience. And because the chip behaves like standard memory, it can also be easily integrate into commercial hardware.While still based at a university, EDABK is actively working with local partners to collect clinical data and validate the model beyond the laboratory. The team is already planning a smart ring prototype, complete with PPG sensors and wireless connectivity to deliver alerts directly to a smartphone.Beyond AF, the system's architecture is modular and generalizable. The SNN core and its toolchain can be retrained to detect other heart rhythm disorders or physiological abnormalities - simply by introducing new datasets and adjusting design goals."Our roadmap includes expanding detection to multiple arrhythmias, not just AF," Minh said. "The goal is to build a scalable platform that enables proactive health monitoring in daily life."For Team EDABK, the Best AI Awards did more than validate their work - it opened a new chapter. "We were amazed by how advanced Taiwan is - not just in chip design, but in edge AI innovation at the silicon level," Minh noted. "Some of our members are now considering graduate studies in Taiwan to take our work even further."This experience has also sparked early discussions around potential commercialization in Taiwan, where the supply chain for AI chips and medical wearables is already world-class.As wearable adoption continues to accelerate globally - forecasted to exceed 1.2 billion devices in use by 2028 - solutions like EDAB's EADK's point to a future where AI does not simply reside in the cloud, but operated quietly in the background of everyday life, watching for the warning signs users may not feel."We're not just building a device," Minh said. "We're building a safety net - one that helps users become aware of silent health threats before they become emergencies." In a world where heart disease remains the leading cause of death, that safety net cannot arrive soon enough.EDABK won the Silver Medal in the International Group IC Design Category at the 2025 Best AI Awards. Now it's your chance to shine - bring your innovation to the world and apply for the 2026 Best AI Awards! With global tracks open for both AI Applications and IC Design, students and companies worldwide can compete for the grand prize of up to USD 30,000 (NTD1,000,000). The deadline is March 16, 5pm (GMT+8), follow offcial Linkedin for the latest updates. 

From drones surveying disaster zones to satellites monitoring fragile ecosystems, today's edge systems operate in environments where connectivity is limited, interference is high, and the consequences of misinformation can be severe.Yet these intelligent machines still rely heavily on centralized infrastructure to process and validate the data they collect - an architecture increasingly misaligned with the needs of real-time, mission-critical decision-making.That's where ArbaLabs steps in. By embedding cryptographically verifiable AI directly into the edge hardware, ArbaLabs is rebuilding trust where it's needed most - in the field, in the sky, and in orbit.  This groundbreaking approach to edge integrity that earned ArbaEdge the Gold Medal of The Best AI Awards in the IC Design, organized by Taiwan Ministry of Economic Affairs."Unlike traditional systems that send data back to Earth for analysis, we push the decision-making directly onto the spacecraft," says Ashley Reeves, founder and CEO of ArbaLabs. "But we don't stop at inference,  we verify every model and every result at the hardware level."At the core of ArbaEdge is a modular IC stack that fuses lightweight AI acceleration with cryptographic data validation. It integrates aerospace-grade microcontrollers, flight-optimized TinyML models, and a secure enclave that continuously verifies both the integrity of AI models and their outputs.While the aerospace-grade form factor is compelling, what sets ArbaLabs apart is  approach to trust at the architectural level. "AI is evolving fast, but public trust is eroding even faster," Reeves explains. "With ArbaEdge, we're applying blockchain not as a buzzword, but as a critical validation layer. Just like cryptocurrency secures financial transactions, we're using decentralized consensus to validate AI outputs in space."The result is a fundamental shift: instead of relying on a central server or mission control to verify image or sensor data, the device itself proves the authenticity of what it observes and reports. Whether it's satellite imagery, synthetic aperture radar (SAR) data, or encrypted communications, the cryptographic hashes generated by ArbaEdge makes each output traceable and tamper-evident. In a world increasingly threatened by deepfakes and synthetic intelligence, this capability is no longer a niche feature - it's a necessity.While aerospace remains ArbaLabs' primary commercial focus, the company sees broad potential  across industries. "Any application that requires low-power, secure decision-making at the edge will benefit," Reeves notes.  This includes autonomous vehicles, industrial IoT, and even medical devices.ArbaLabs is also exploring the educational impact of its technology. The company is in discussions  with a major embedded systems provider to integrate ArbaEdge into STEM education programs, aiming to equip the next generation of engineers not only with AI skills, but with a strong understanding of its ethical boundaries and trust infrastructure.Although globally structured, ArbaLabs is deeply rooted in Taiwan's technology ecosystem. Reeves, a long-term resident and Gold Card holder, emphasizes that ArbaEdge would not exist without Taiwan's unique hardware advantages. "I first came to Taiwan in 2013 and never looked back," he says. "Taiwan is the best place in the world to build hardware. The supply chain is deep, IP is protected, and the talent is exceptional."ArbaLabs maintains R&D and SoC integration in Taiwan, while leveraging Reeves' network across London, Estonia, and Taipei. That positioning enables  the company to bridge Asia-Pacific and European markets - a strategic advantage as it expands partnerships  with aerospace manufacturers across the EU and UK."We've already signed multiple agreements with European satellite manufacturers," Reeves says. "And what excites them most Is our access to Taiwan's hardware supply chain."ArbaLabs entered the Best AI Awards with modest expectations - but emerged new momentum. The company received the Gold Medal in the IC Design category, earning recognition across both hardware and software dimensions."Winning the award gave us visibility, credibility, and an immediate uptick in engagement," Reeves reflects. He adds, "This is more than an edge device, it's Taiwan's opportunity to set the global standard for verifiable AI."ArbaLabs is now focused on scaling production from early deployments to export-ready systems, ArbaLabs ispositioning Taiwan not only as a hardware hub, but as a launchpad for secure, accountable AI - built to operate from the edge of Earth to the edges of space.ArbaLabs won the Gold Award and NT$1,000,000 in the International Group IC Design Category at the 2025 Best AI Awards. If you have an innovation you would like to unveil, 2026 Best AI Awards with global tracks open for both AI Applications and IC Design, students and companies worldwide can compete for the grand prize of up to USD 30,000 (NTD 1,000,000). The deadline is March 16, 5:00pm (GMT+8). For more details, please follow official Linkedin for the lastest updates. Credit: ArbaLabs

The rapid advancement of space technology has led to a growing range of applications, including satellites and launch vehicles, attracting significant cross-sector investment worldwide. As space becomes an increasingly strategic industry, governments are accelerating deployment efforts to secure technological leadership and industrial competitiveness.Against this backdrop, Taiwan's Industrial Technology Research Institute (ITRI), through its Commercialization and Industry Service Center, partnered with the Department of Space Science and Engineering (DSSE) and the Center for Astronautical Physics and Engineering (CAPE) at National Central University (NCU) to organize the "Taiwan-Japan Space Education Exchange Delegation." The initiative targets students and early-career professionals interested in space technology, offering structured coursework and site visits to provide first-hand insight into global space industry developments and cultivate internationally minded talent for Taiwan's emerging space sector.The program centers on international industry-academia collaboration. ITRI provided industry trend analysis and facilitated R&D resource connections, while NCU designed and delivered academic training. The itinerary included visits to the Japan Aerospace Exploration Agency (JAXA), space technology enterprises, and major research facilities in Japan, enabling participants to bridge theoretical learning with real-world industrial operations and international cooperation models.Pre-departure workshop builds foundation for overseas engagementA pre-departure workshop was held at NCU on January 17 to equip participants with essential technical knowledge and industry context prior to departure. The curriculum covered space science fundamentals, satellite systems engineering, industry trends, and applied operations, providing a concentrated introduction to core space-sector competencies.The session highlighted NCU's research capabilities and emphasized the interdisciplinary integration of physics, mathematics, electronics, data analytics, and engineering practice. In the "Introduction to Space Environment and Satellite Systems Engineering" course, participants examined satellite design under extreme space conditions, as well as mission planning, testing, and operational workflows, laying the groundwork for subsequent field visits.Hands-on satellite training was also conducted. Led by SIGHT Space, participants assembled satellite structures, integrated sensors, and collected real-time data using the SMEK Educational Satellite Platform, translating theoretical engineering concepts into practical experience.ITRI and NCU host a pre-departure workshop featuring hands-on satellite training by SIGHT Space. Credit: ITRIVisit to JAXA Tsukuba Space Center integrates theory and practiceThe program began in Tsukuba, Japan, with an astronaut workshop led by experts "Japan Manned Space Systems Corporation（JAMSS）" experienced in human spaceflight missions. The curriculum incorporated NASA's Artemis Program, outlining the architecture and technical challenges of renewed lunar exploration and offering a mission-level perspective on current space strategies.In addition to lectures, the workshop featured a lunar exploration simulation exercise replicating mission execution scenarios. Participants made decisions under resource constraints and time pressure, gaining insight into task allocation, risk management, and team coordination. The module was adapted from elements of Japan's astronaut selection process, emphasizing analytical thinking and adaptability.Through exchanges with instructors and industry professionals, participants explored diverse career paths spanning engineering development, mission planning, and international collaboration. The workshop translated space exploration from an abstract concept into structured industrial processes.On the second day, participants toured the JAXA Tsukuba Space Center, a key hub of Japan's space activities. Established in 1972, the center oversees satellite development, mission control, astronaut training, and foundational research.The visit included major testing infrastructure such as a 13-meter-diameter environmental chamber, vibration and radio-frequency testing systems, and vacuum simulation facilities, providing direct insight into pre-launch verification procedures.Participants also observed operations at the mission control center for the Kibo module of the International Space Station, where they learned how ground teams coordinate with astronauts in real time and conduct remote microgravity experiments. The visit underscored the scale of system integration required for national-level space missions.Participants visit the JAXA Tsukuba Space Center during the Japan study program. Credit: ITRIIndustry visits to ArkEdge Space and ispace provide market insightJapan's private sector has become an increasingly influential force in space development. As part of the program, participants visited ArkEdge Space, a company specializing in small satellite development. ArkEdge is building an integrated ecosystem covering satellite design, production, ground station operations, and key component development, aiming to lower entry barriers through commercialization.Its 6U CubeSats support missions ranging from Earth observation and communications to navigation and lunar applications. During the visit, ArkEdge shared insights into modular design and shortened development cycles, illustrating operational approaches adopted by emerging space enterprises.ArkEdge has collaborated with the University of Tokyo, Taiwan Space Agency (TASA), and NCU on the ONGLAISAT mission, contributing to the technological foundation of Taiwan's ultra-high-resolution optical remote sensing capabilities. The project represents a concrete example of Taiwan-Japan industry-academia cooperation.Participants also visited ispace, a company focused on commercial lunar development with the goal of extending human presence beyond Earth. ispace invests in lunar transportation, exploration, and resource utilization technologies, reflecting broader commercialization trends in deep-space missions.The company's core technology centers on its independently developed lunar lander. The team outlined mission architecture and technical challenges spanning launch, transit, and lunar orbit insertion. Hakuto-R Mission 2 carried a Deep Space Radiation Probe developed by NCU, marking the first time a Taiwanese research payload traveled beyond low Earth orbit and representing a milestone in bilateral cooperation.Participants said the visit reshaped their perception of the Moon as not only an exploration objective but also a potential pillar of the future space economy. Discussions highlighted pathways for translating academic research into commercial missions, reinforcing the role of sustained industry-academia collaboration.The program also included a visit to Space Travelium TeNQ, a space-themed experiential facility integrating technology, art, and education. Through interactive exhibits and virtual reality, participants explored spaceflight concepts from a different perspective. In the VR experience "SORAVEL LINE," they simulated a lunar journey from Earth departure to lunar surface landing, deepening their understanding of microgravity environments.Participants affirm value of structured international engagementThe program received strong feedback from participants. Engagement levels across online briefings, pre-departure training, and on-site visits averaged 4.4 out of 5, reflecting sustained participation throughout the program.Survey results indicated that the astronaut workshop, satellite hands-on training, and company visits were the most impactful components. Participants reported broader technical perspectives and clearer direction in academic planning and career development, with several expressing increased interest in space engineering and related interdisciplinary fields.As competition in the global space sector intensifies, talent development and international collaboration remain central to long-term industrial positioning. The Taiwan-Japan Space Education Exchange Delegation represents a structured effort to strengthen Taiwan's space capabilities through deeper bilateral engagement and practical exposure.

When spine surgeons talk about pressure, few procedures rival C1–C2 fixation - a surgery so delicate that a deviation of just a few millimeters can mean the difference between success and catastrophic complications.That reality became the starting point for NeuroSpine AI, a project developed by Sanny Kumar Sahani, a PhD researcher in computer science and commercial engineering, and Shweta Prajapati, a master’s student in biomedical engineering. Both are from India, both study at Chang Gung University, and both work in the same lab under the same advisor.Their collaboration has earned them international recognition- the Bronze Medal at Taiwan's Ministry of Economic Affairs Best AI Award, standing out in a field crowded with enterprise and academic innovations.Sahani recalls that during collaboration with Chang Gung Memorial Hospital, one experienced spine surgeon, Dr. Wu, described the mental burden of C1–C2 screw planning. Even for veteran surgeons, the risk remains high. The anatomy is complex, patient variation is significant, and the vertebrae sit dangerously close to the brainstem, nerves, and major blood vessels. If automation and precision could be applied anywhere in spine surgery, this was it.Prajapati emphasizes that the motivation was never purely academic. Surgeons identified real constraints: planning is time-consuming, only highly experienced specialists can safely perform these procedures, and screw misplacement remains a serious clinical risk. The team's goal became clear - reduce planning time, lower dependence on elite expertise, and improve consistency without compromising safety.Most existing surgical planning tools focus on the thoracic and lumbar spine. Those vertebrae are relatively uniform, making automation easier. C1 and C2, by contrast, are anatomically unique, highly variable, and structurally complex.Sahani explains that current solutions either require extensive manual adjustment or do not support C1–C2 at all. NeuroSpine AI took the opposite approach: start with the hardest problem first.The system automatically generates multiple screw trajectories, performs geometric safety checks, and ensures consistency regardless of who uses the software. Unlike manual planning - which varies between surgeons and depends heavily on experience - AI-generated trajectories remain stable and repeatable.That consistency matters, especially for junior surgeons still building experience. The system does not replace surgical judgment, but it removes unnecessary variability from one of the most critical planning steps.In traditional workflows, planning a single screw trajectory can take 30 to 60 minutes. NeuroSpine AI generates multiple trajectories in just two to three minutes.More importantly, the system has been trained to understand the geometric patterns of C1–C2 anatomy, learning from diverse datasets collected through Chang Gung Memorial Hospital and an international collaboration in France. The AI does not simply segment images; its reason about spatial constraints, vessel proximity, and safe paths for screw placement.The result is a pre-operative planning tool that balances speed, safety, and accuracy — something surgeons rarely get at the same time.The role of AI is more Than just automation. First, it specializes exclusively in C1–C2 anatomy, rather than applying generalized spine models. Second, it performs geometric reasoning to avoid nerve and vessel damage - a non-negotiable requirement given the proximity to the brain. Third, it generates multiple alternative trajectories, ensuring that even abnormal anatomical cases still yield viable surgical options.Prajapati notes that the system is designed for pre-operative use. Surgeons can review trajectories before entering the operating room, making the procedure safer and more predictable - particularly for less experienced doctors.NeuroSpine AI has already completed initial clinical validation at Chang Gung Memorial Hospital, where surgeons confirmed that AI-generated trajectories aligned closely with what experienced clinicians would plan manually.That validation marked a turning point. The project is now transitioning from research to a deployable product.The next phase involves expanding beyond C1–C2 to cover the entire spine - all 26 vertebrae - and integrating the system into existing clinical workflow software. Given that C1–C2 is the most complex region, the team believes scaling to other vertebrae is both realistic and strategic.The potential market spans hospitals, medtech companies, surgical planning platforms, robotic surgery firms, and spine implant manufacturers. As spine surgeries increase globally, automated pre-operative planning is becoming less optional and more essential.The team plans to begin commercialization in Taiwan, leveraging established hospital partnerships, before expanding internationally.For Sahani and Prajapati, participating in the Best AI Award was less about winning and more about validation. They wanted to know whether their work mattered beyond the lab - whether people outside academia could see its value. Winning the Bronze Medal provided that answer.Prajapati admits they did not expect to win. The recognition, especially among international teams, gave them confidence that NeuroSpine AI is not only meaningful but scalable.Both researchers express strong interest in continuing their work in Taiwan, citing the strength of its AI, biomedical, and hospital ecosystems. For Sahani, the integration between technology and healthcare feels unusually seamless.Their roadmap is clear: expand anatomical coverage, refine clinical integration, and continue building AI systems with real-world medical impact.As Prajapati puts it, the most meaningful part of the journey has been having a platform to explain how AI can truly help surgeons - not in theory, but in practice. And in a field where millimeters matter, that distinction makes all the difference.NeuroSpine AI won the Bronze Award in the International Group AI Application Category at the 2025 Best AI Awards. If you have innovation would like to present, 2026 Best AI Awards with global tracks open for both AI Applications and IC Design, students and companies worldwide can compete for the grand prize of up to USD 30,000 (NTD 1,000,000). The deadline is March 16, 5:00pm (GMT+8). For more details, please follow official Linkedin for the lastest updates.

In today's wellness-driven world, yoga has evolved into more than just a physical practice - it has become a daily ritual for hundreds of millions of people worldwide. It now stands as one of the most widespread and diverse disciplines in the health and fitness industry.  Yet between "doing yoga" and "doing it right," a persistent instructional gap remains."In live classes," explained Myogai Project Manager Dale Neal, speaking from experience, "we often felt like we weren't getting the attention we needed. And instructors? They were struggling to manage larger groups while trying to keep instruction personalized." That experience became the spark behind Myogai.Led by Neal, Myogai is the product of a multidisciplinary team united at National Taiwan University of Science and Technology (NTUST). The group includes Nic, an expert in AI-based computer vision; Valer Vanco and Andrés Brítez, who bring strengths in business strategy and finance; Luis Manzanero, a full-stack developer; and Fatima, a seasoned yoga instructor with years of in-studio teaching experience.Together, they created a real-time yoga instruction platform that uses BlazePose pose tracking technology and intelligent AI feedback to assiststudents and instructors—enhancing accuracy, engagement, and safety.At the heart of Myogai is a multi-platform system that analyzes human posture in real time. Students perform asanas while the system tracks more than a dozen key skeletal points. Based on this data, the AI engine delivers instant alignment feedback, while instructors can access live dashboards that support more effective coaching - whether in physical studios or online sessions."It works both online and in-person," Neal said. "Our competitors often go to extremes - either they build AI tools that try to replace instructors completely, or they offer platforms too simplistic to be useful. We've built something in between. Myogai is a digital extension of yoga instruction - not a substitute."This hybrid approach is what makes Myogai a game-changer. By integrating real-time analytics into live or remote sessions, it allows instructors to teach more students effectively, deliver personalized feedback at scale, and even support AI-assisted certification programs.And yoga is just the beginning."Our roadmap includes everything from calisthenics to dance to physical therapy," Neal added. "Anywhere body movement matters, our system can make a difference."Myogai did not emerge from Silicon Valley, but from the startup ecosystem of Taiwan - a decision the team believes was pivotal."The startup environment here is incredible for AI," said Neal. "You get access to world-class engineers, rapid prototyping, and strong institutional support. NTUS's incubation program is what first connected us to this opportunity."Taiwan's technical talent, affordability, and proximity to leading hardware partners, such as sensor and device manufacturers - enabled Myogai to iterate rapidly and test early-stage concepts in real-world environments.Myogai's go-to-market strategy begins with independent yoga instructors - those running small studios or teaching virtually who need better tools to grow and retain their student base. With global organizations like Yoga Alliance listing over 60,000 instructors, the opportunity is substantial.The team also plans to expand into physical yoga studios, certification institutions, and fitness platforms. They are exploring potential partnerships with wearable technology companies to build richer, sensor-integrated experiences.Myogai recently won Silver at the Ministry of Economic Affairs'Best AI Awards - a major milestone that brought not only funding, but industry validation."This award shifted our mindset," Neal said. "We've always believed in our product, but now others in the AI community are recognizing its potential too. The visibility helped us land interviews, attract advisor support, and generate new business leads. It's already speeding up the rollout of our second version."That next-generation version, due to launch soon, will feature multilingual support, expanded device compatibility, and refined posture recognition models built on Mediapipe and enhanced with proprietary tuning.But for the team, this is just the beginning. The vision extends well beyond yoga - toward a future where AI doesn't replace human instruction, but elevates it across wellness, fitness, and rehabilitation."In a world rushing toward virtual everything, we're betting on something different," Neal said. "We're building AI that makes the physical world better—not obsolete."Myogai won the Silver Adward in the International Group AI Application Category at the 2025 Best AI Awards. If you have innovation would like to present, 2026 Best AI Awards with global tracks open for both AI Applications and IC Design, students and companies worldwide can compete for the grand prize of up to USD 30,000 (NTD 1,000,000). The deadline is March 16, 5:00pm (GMT+8). For more details, please follow official Linkedin for the lastest updates.

Luna, the health-tech company behind the Luna Ring today announced the launch of LifeOS V1, a foundational upgrade to the Luna Ring that introduces one of the first truly vertically integrated AI systems designed to unify the full spectrum of personal health data into a single, intelligent interface. LifeOS brings together wearable biometrics, nutrition, supplements, medication history, medical reports, reproductive health signals, workouts, environmental context, and recovery behavior, transforming fragmented inputs into clear, meaningful insight that users can understand and act on instantly.This release represents a critical step toward Luna's long-term vision of building a context-first health intelligence system, one that moves beyond passive tracking to help individuals understand why their body responds the way it does, and how daily behaviors shape recovery, resilience, and performance over time."Until now, health data has existed in silos: wearables in one place, nutrition in another, medical history somewhere else. LifeOS is designed to unify this complexity and translate it into simple, human-readable understanding. Our goal is not just to track health, but to bring clarity to it."Unlike clinical or diagnostic systems, LifeOS is not a medical product. Instead, it is designed to help users recognize how small, everyday choices: what they eat, how they move, how they sleep, and how they recover - collectively influence the body's long-term response and healing capacity.With LifeOS V1 now live, Luna begins the next phase of its roadmap toward real-time, context-aware health guidance, powered by continuous biomarker intelligence and adaptive AI. This is like an advanced version of ChatGPT for health which knows your body 24*7.Availability LifeOS V1 is rolling out starting today to Luna users via the latest version of the Luna app.

ROHM Co., Ltd. (hereinafter "ROHM") has decided to integrate its own development and manufacturing technologies for GaN power devices with the process technology of TSMC, with which ROHM has an ongoing partnership, to establish an end-to-end production system within the ROHM Group. By licensing TSMC GaN technology, ROHM will strengthen its supply capability to meet growing demand for GaN in applications such as AI servers and electric vehicles.GaN power devices offer excellent high-voltage and high-frequency performance, helping to improve efficiency and reduce size in a wide range of applications, and are already used in consumer products such as AC adapters. Adoption is also expanding in high-voltage applications such as power units for AI servers and on-board chargers for electric vehicles (EVs), and demand is expected to continue growing.ROHM began developing GaN power devices at an early stage and established a mass-production system for 150V GaN at ROHM Hamamatsu in March 2022. In the mid-power range, ROHM has built its supply structure while advancing external collaborations. One of the key partners in this effort has been TSMC: ROHM has adopted a 650V GaN process since 2023, and in December 2024, the two companies entered into a partnership related to automotive GaN, further deepening their collaboration.This latest integration represents an evolution of that partnership. Under a newly concluded license agreement, TSMC's process technology will be transferred to ROHM Hamamatsu. ROHM aims to establish the production system in 2027 to meet expanding demand in applications such as AI servers.Upon completion of the technology transfer, ROHM and TSMC will amicably conclude their automotive GaN partnership. At the same time, the two companies will continue to strengthen collaboration for higher efficiency and more compact power supply systems.

Teamsworld Innovation Inc. announced its AI-powered manufacturing matchmaking platform, targeting multinational enterprises seeking to diversify supply chains. The platform connects clients with precision component manufacturers in Taiwan and mass production facilities in Vietnam, addressing information gaps and geopolitical risks in cross-border sourcing. The digital platform serves companies implementing "China Plus One" strategies. Teamsworld combines Taiwan's research and development capabilities with Vietnam's cost advantages, providing sourcing solutions for mechanical components from prototype development to mass production with supply chain transparency and flexibility.AI-Driven Manufacturing SupportThe platform digitalizes traditional procurement processes using artificial intelligence. The system analyzes materials and geometric tolerances while incorporating Design for Manufacturing (DFM) experience to optimize production paths during early development stages. Company data indicates the platform helps clients increase production efficiency by 25% and reduce research and development costs by up to 40%. A cloud-based dashboard offers global clients real-time visibility into production status, fostering seamless cross-border collaboration while significantly lowering overhead.Taiwan-Vietnam Dual-Hub Model"In today's volatile global landscape, manufacturing has evolved from a race on price to a test of resilience," said Vincent Lin, CEO of Teamsworld. "We aren't just a matchmaking platform; we are a strategic partner. By integrating Taiwan's advanced R&D with Vietnam's cost-effective production, we empower enterprises to navigate the entire lifecycle from prototype to mass production with unparalleled agility."Specialized Thermal Management Solutions for EV and 5G MarketsTeamsworld has developed technical capabilities in thermal management for high-power consumption and harsh environment applications. The company provides precision thermal enclosures for electric vehicle battery management systems, 5G communication base stations, and industrial automation equipment. Production processes integrate over 50 techniques, including aluminum die casting and injection molding, with assembly services spanning thermal bases to protective enclosures. Further information is available at official website.

XTPL (WSE:XTP), a developer of Ultra-Precise Dispensing (UPD) technology for nanomaterial deposition, has entered a strategic partnership with Manz Asia to support the development and commercialization of advanced semiconductor packaging applications.Under the partnership, XTPL will install a Delta Printing System in Manz Asia's  Semiconductor Innovation and R&D centre in Taoyuan, Taiwan, establishing a local capability for process development, testing, and validation. The facility will enable customers to evaluate specific applications and establish a pathway from prototype development to volume production.The partnership combines XTPL's proprietary dispensing technology with Manz Asia's expertise in advanced semiconductor manufacturing systems and process development. The collaboration will focus on joint engagement with third-party customers and the evaluation of application-specific commercial opportunities.XTPL's UPD technology enables highly controlled deposition of functional nanomaterials with feature sizes ranging from tens of micrometres down to below one micrometre. The technology is already qualified for high-volume production in display applications and is currently being evaluated for additional applications in advanced electronics, including inline manufacturing, multichip module packaging, and advanced electronic structures."I am delighted to start the partnership with Manz Asia - a company with a strong position and deep expertise in the semiconductor industry in Taiwan and Asia. It is only natural for us to work side by side with a partner who knows this ecosystem from the inside.The synergy between XTPL's unique ultra-precise dispensing technology and Manz Asia's competencies in advanced semiconductor packaging is a natural fit. That is precisely why I am confident this collaboration will translate into tangible business opportunities for both sides.," said Filip Granek, CEO of XTPL.Robert Lin, CEO of Manz Asia, added: "This strategic partnership with XTPL expands our printing capabilities into ultra-precise material deposition, enabling a wide range of advanced semiconductor applications. The technology supports both conductive and non-conductive materials across 2D, 2.5D and 3D substrates in diverse manufacturing scenarios.By combining XTPL's dispensing technology with Manz's automation and process integration expertise, we broaden our portfolio and provide more flexible manufacturing solutions, helping customers accelerate innovation and move efficiently from prototype to volume production."

Seoul, February 26, 2026 – SK hynix Inc. (or "the company", www.skhynix.com) and Sandisk Corporation held 'HBF Spec. Standardization Consortium Kick-Off' event at Sandisk Headquarters in Milpitas, California on the 25th(local time) announcing global standardization strategy of next-generation memory solution HBF(High Bandwidth Flash) aimed at the AI inference era.SK hynix said, "By making HBF an industry standard, together with Sandisk, we will lay the foundation for the entire AI ecosystem to grow together. A dedicated workstream under OCP1 will be launched with Sandisk to begin standardization work."Recently, the AI industry is shifting from training which focuses on creating Large Language Models (LLMs) to inference, which accelerates actual AI services to users.Fast and efficient memory is essential as the number of users using AI services increases rapidly. However, the existing memory structure cannot meet the high capacity data processing and power efficiency at the same time in the inference stage and HBF technology is designed to address these limitations.HBF technology is a new memory layer between ultra-fast memory, HBM and high-capacity storage device, SSD. HBF technology can fill the gap between HBM's high performance and SSD's high capacity and ensure both capacity expansion and power efficiency required for AI inferencing. While HBM handles the high level bandwidth, HBF technology serves as a supporting layer in the architecture.In particular, HBF technology is expected to reduce the total cost of ownership (TCO) while increasing the scalability of AI systems. The industry forecasts that the demand of complex memory solutions, including HBF, will pick up around 2030.In the AI inference market, the role of a total memory solution company that can provide both HBM and HBF is becoming more important as system level optimization of CPU, GPU, and memory determines the overall competitiveness rather than the performance of a single chip.In line with this, SK hynix and Sandisk are proactively pursuing HBF solution's standardization and commercialization based on their design, packaging and mass production experience in HBM and NAND."The key to AI infrastructure is to go beyond the performance competition of individual technologies and to optimize the entire ecosystem," said, Ahn Hyun, President and Chief Development Officer. "Through HBF technology standardization the company will establish a cooperative system and present an AI-era optimized memory architecture to create new value for customers and partners."