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Friday 6 March 2026
Myogai Built with AI and designed for Humans
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.
Tuesday 3 March 2026
Luna's LifeOS One AI source for all health data
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.
Tuesday 3 March 2026
ROHM Boosts GaN Supply with TSMC Technology
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.