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.

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.

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.

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."

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.

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."

Global Unichip Corp. (GUC), the Advanced ASIC Leader, today announced it has successfully taped-out industry-leading, Universal Chiplet Interconnect Express. (UCIe.) IP, achieving a data rate of 64 Gbps per lane, the highest speed defined in the UCIe specification. The 64G UCIe IP, supporting UCIe 3.0, delivers an impressive bandwidth density of 21 Tbps per 1 mm of die edge (10.5 Tbps/mm full-duplex). This milestone was achieved using TSMC's advanced N3P technology and CoWoS advanced packaging, typically leveraged by AI, high-performance computing (HPC), datacenter and networking applications.To ensure seamless system integration, GUC has developed bridges for AXI, CXS, and CHI buses utilizing the UCIe Streaming Protocol. These bridges are optimized for high traffic density, low power consumption, minimal data transfer latency, and efficient end-to-end flow control – enabling a seamless transition from traditional single-chip Networks-on-Chip (NoC) to chiplet-based architectures. Additionally, the bridges support Dynamic Voltage and Frequency Scaling (DVFS), allowing real-time voltage and frequency adjustments independently for each die withoutinterrupting data flow.GUC's UCIe IP also features advanced reliability capabilities, including UCIe Preventive Monitoring functionality and integrated I/O signal quality monitors from proteanTecs. This technology enables continuous, mission-mode monitoring of signal integrity during data transmission without the need for re-training or disrupting operations. Each signal lane is individually monitored, with real-time detection of power and signal integrity anomalies. Potential defects in bumps and traces are identified early, triggering repair algorithms that replace marginal I/Os with redundant ones to prevent system failures. This proactive approach significantly extends chip lifespan and enhances system reliability."We are fully committed to delivering the highest performance and lowest power 2.5D/3D chiplet and HBM interface IPs on TSMC's advanced process and packaging technologies," said Igor Elkanovich, CTO of GUC. "The convergence of 2.5D and 3D packaging technologies, leveraging HBM3E/4/4E, UCIe-A, and UCIe-3D interfaces, enables the development of highly modular processors that exceed reticle size limitations, paving the way for the next generation of highperformance computing. Our strong collaboration with TSMC and its Open Innovation PlatformR (OIP) ecosystem is enabling our customers to accelerate time-to-market in today's AI-driven competitive market."Click here for more information.GUC UCIe 64G IP Highlights. Credit:Guc

ASUS today announced ASUS Optimized Liquid-Cooling Solutions and a strategic partner framework designed to address the escalating thermal, power, and density challenges of next-generation AI and high-performance computing data centers.ASUS Optimized Liquid-Cooling Solutions for next-generation AI compute densityAs AI and HPC workloads push compute density and power consumption beyond the capabilities of traditional air cooling, optimized liquid-cooling solutions by ASUS will provide the critical thermal management required for the next-generation NVIDIA Vera Rubin NVL72 system based data centers. By efficiently dissipating heat from high-performance CPUs, GPUs, and accelerator-dense racks, ASUS significantly reduces energy consumption, lowers PUE, and optimizes TCO while supporting unprecedented rack density.ASUS Optimized Liquid-Cooling Solutions offer a comprehensive portfolio spanning direct-to-chip (D2C), in-row CDU–based cooling, and hybrid configurations, enabled through collaboration with global infrastructure leaders. Leveraging a strategic framework of partners – including Schneider Electric and Vertiv, alongside precision components from Auras Technology, Cooler Master, and other industry leaders – ASUS provides purpose-built cooling solutions that ensure optimal stability and performance at scale. With 2,156 No. 1 SPEC CPU records and 248 No. 1 MLPerf results, ASUS continues to demonstrate leadership in real-world compute density and AI performance.Real-world deployment: ASUS powers liquid-cooled AI supercomputer at NCHCA flagship example of liquid-cooling expertise by ASUS is its recent deployment for the National Center for High-performance Computing (NCHC) in Taiwan. The system features a dual-compute architecture, including the Nano4 NVIDIA HGX H200 cluster and NVIDIA GB200 NVL72 system  -  Taiwan's first fully liquid-cooled AI supercomputer deployment of this architecture.Designed and engineered by ASUS from the ground up, the system implements direct liquid-cooling (DLC) technology to achieve an exceptional power-usage effectiveness (PUE) of just 1.18. This deployment seamlessly integrates high performance with sustainable design, demonstrating the strength of ASUS in thermal and energy management for large-scale AI infrastructure.Join ASUS at GTC 2026ASUS announced its participation as a Diamond Sponsor (Booth #421) at NVIDIA GTC 2026 from March 16–19 in San Jose, USA. Under the theme Trusted AI, Total Flexibility, ASUS is collaborating with NVIDIA and global infrastructure giants to showcase a robust, next-generation liquid-cooling ecosystem. Come explore with us and witness the next evolution of AI infrastructure.

Tong Hsing Electronic, a global leader in semiconductor assembly and testing services, today announced a strategic collaboration with Singapore-based AI solutions provider SixSense, following a comprehensive market evaluation. The partnership aims to advance Tong Hsing's smart factory initiatives, with an initial focus on AI-driven defect classification (ADC) in manufacturing processes.As semiconductor manufacturing becomes increasingly complex and high-volume, traditional manual defect inspection and classification methods face growing challenges in terms of labor cost, consistency, and efficiency. After evaluating multiple solutions, Tong Hsing Electronic selected SixSense for its strong performance in classification accuracy, deployment flexibility, and seamless integration with existing production systems - aligning closely with the company's long-term digital transformation and smart manufacturing strategy.By adopting SixSense's AI-powered ADC solution, Tong Hsing Electronic look forward to automatically analyzing and classifying large volumes of defect images generated across production lines. This significantly reduces reliance on manual inspection, improves classification consistency, accelerates cycle time, and enables engineering teams to identify and address process issues more effectively.Skid Chiu, Senior Assistant Vice President of Tong Hsing commented:"Reducing labor-intensive steps while maintaining quality is critical for sustainable growth. The adoption of SixSense's AI ADC solution is expected to enable us to optimize resources more effectively while keeping pace with increasing inspection demands."Akanksha Jagwani, Co-Founder & CEO of SixSense, added:"Our goal is to help semiconductor manufacturers scale operations without scaling complexity or cost. The results currently validated by Tong Hsing Electronic Industries also demonstrate how AI can simultaneously reduce labor dependency and improve cycle efficiency in high-volume manufacturing environments."Tong Hsing Electronic emphasized that this collaboration represents more than a system deployment - it marks a key milestone in its smart factory roadmap. Moving forward, both companies plan to deepen their collaboration by expanding AI applications across additional process stages and product lines, further strengthening manufacturing resilience and competitiveness.