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Monday 3 November 2025
Korean National Assembly to Host Global AI and Semiconductor Cooperation Strategy Seminar
As artificial intelligence (AI) and semiconductors become central to the intensifying U.S.–China tech rivalry, and rare earth resource challenges elevate their strategic importance, the Office of National Assembly Member Song Seok-jun will host a high-level seminar titled "Global AI and Semiconductor Cooperation Strategy" on November 10, 2025 (Monday), from 9:30 AM to 11:30 AM at the National Assembly Library Grand Auditorium.The seminar will be co-hosted by Mr. Colley Hwang, Chairman of Taiwan's DIGITIMES Group, and Professor Sung Soo Eric Kim, Founder of Datacrunch Global, Adjunct Professor at Yonsei University Graduate School of Business, and Visiting Professor of AI Strategy at National Taiwan University.DIGITIMES is the world's largest semiconductor-focused media and research institution, co-founded by Morris Chang (Founder of TSMC) and Stan Shih (Founder of Acer). Chairman Colley Hwang is a globally recognized semiconductor strategist who has advised CEOs of leading ICT companies worldwide.Professor Eric Kim is a renowned authority in global AI strategy and a key figure in building semiconductor and AI cooperation networks across Korea, the United States, Japan, and Taiwan.This seminar marks a significant diplomatic and strategic occasion, with Taiwan's Ministry of Foreign Affairs dispatching an official envoy to participate. The event is expected to convene 300 attendees from government, industry, and academia to explore new pathways for international collaboration in emerging technologies.The event will take place on Monday, November 10, 2025, from 9:30 AM to 11:30 AM at the Grand Auditorium of the National Assembly Library, which accommodates up to 300 attendees. Registration is available via Google Form. For inquiries, please contact Professor Sung Soo (Eric) Kim.Korean National Assembly to Host Global AI and Semiconductor Cooperation Strategy Seminar. Credit: DIGITIMES
Monday 3 November 2025
Anandi Botanicals: Cultivating Crops with AI, Robotics, and Biotech for Conservation and Sustainability
Anandi Botanicals Inc., an Alberta-based startup, is pioneering sustainable, high-tech agriculture by merging advanced plant biotechnology with AI and robotics. The company seeks research and commercial partnerships in Taiwan to scale its solutions for high-value crops and enhance global food security.The company specializes in plant tissue culture and AI-driven optimization across agriculture, horticulture, forestry, and conservation. Founder and Technical Director Dr. Annie Ray, a plant biologist with over a decade of international experience, established Anandi Botanicals in 2024 to address limitations in traditional propagation methods. "Seeds in seed banks often degrade, are susceptible to infection, and may not survive," she explains, making tissue culture "almost the only option" for rare and endangered species.Dev, Co-founder and Chief AI Officer, brings over 20 years of expertise in product development, AI, and automation. The founders' complementary backgrounds allow the company to scale tissue culture efficiently, automating labor-intensive processes that become unviable at large volumes.The process begins with explants from certified mother plants and follows stages including callus induction, shooting, rooting, acclimatization, and greenhouse hardening. The result: virus-free, disease-free, uniform plants with faster growth and scalable production. Techniques include protoplast culture and microfluidics, with AI models analyzing data to optimize workflows and reduce research time. Local GPU execution ensures data privacy, while IP-protected logistics solutions maintain plant viability during shipping, reducing damage from 70–80% in traditional transport.Taiwan Market and Global StrategyThrough the Canadian Technology Accelerator, Anandi Botanicals seeks Taiwanese partners for both R&D and commercial production. Target crops include orchids, pineapples, mangoes, asparagus, garlic, and medicinal plants. Partnerships with universities, biotech parks, and local nurseries will support technology adoption and automation integration.The company is leading research on perennial grains in collaboration with the NRC. Perennial grains do not need to be seeded every year, staying in the ground for at least three years. This improves soil quality by increasing carbon content and aeration and requires less tilling.On the research front, the company collaborates with Canada's National Research Council on perennial grains, which improve soil quality, reduce tilling, and provide multi-year yields. A proposal has been submitted to the UN FAO as a global food security solution. Taiwan's focus on sustainability and high food import reliance makes this technology highly relevant.Business Model and Future OutlookAnandi Botanicals operates a dual model: direct sales for crops without IP restrictions and licensed production for valuable IP-protected crops, offering royalties or licensing options. Its AI and automation technologies are being patented, with collaborative sharing possible under NDAs.For their technologies, including their AI-related solutions and workflow automation, they are in the process of IP registration. They are open to the transfer and distribution of their AI technologies through agreements like mandatory NDAs, emphasizing that this is crucial for global food security. Importantly, they are willing to negotiate IP terms and are "more than agreeable to discuss those opportunities" when collaborating with government establishments for the betterment of the entire community or country.Over the next five years, Anandi Botanicals aims to lead the integration of AI, robotics, and biotechnology in agriculture, increasing efficiency in production and research. By partnering with global institutions, governments, and commercial entities, the company seeks to scale field trials, expand perennial crop production, and contribute to global food security.Founder and Technical Director Dr. Annie Ray, Anandi Botanicals.
Monday 3 November 2025
Vancouver's Ma Robot AI Aims to Solve Robots' 'Last Mile' Challenge with Interpretable AI
The robotics sector is booming, yet a fundamental challenge persists: moving autonomous machines safely and efficiently from the controlled environment of a warehouse into the complex, unpredictable flow of daily life. Vancouver-based startup Ma Robot AI is tackling this issue head-on with its specialized "Embodied AI" software, designed to grant robots and autonomous vehicles human-level intuition in dense, high-traffic areas.Founded by a unique partnership, Ma Robot AI is led by CEO Winnie Liang, who brings a background in business and workflow automation from her time at PriceWaterhouseCoopers (PwC), and CTO Dr. Mo Chen, a distinguished authority in the field as a Canadian Institute for Advanced Research (CIFAR) AI Chair and Computer Science faculty member at Simon Fraser University, with a recent visiting professorship at Stanford. They are co-founder husband and wife. The need for their combined expertise emerged during the pandemic, as they witnessed how overwhelmed hospital staff spent crucial time on manual, repeatable delivery tasks.The Technology: Intuition Without DataMa Robot AI's core offering is a patent-pending hybrid AI system that fundamentally shifts how robots perceive and interact with uncontrolled environments. Unlike conventional solutions that rely on extensive data collection for specific environments (a key bottleneck for scaling), Ma Robot AI's software operates in real-time, on the edge, and requires no prior data from the target location.The critical differentiator is the concept of "interpretable AI," which allows robots to predict how human agents will move in time and space, enabling them to navigate safely and confidently among people. This technology is applicable not just to delivery robots, but also to autonomous and computer-assisted driving systems, offering potential improvements in safety and efficiency on urban streets.Scaling Strategy: From Integrator to LicensorHaving incorporated nearly two years ago, Ma Robot AI, currently a team of eight, is pursuing a two-phase business model. Initially, the company acts as a system integrator (SI), pairing its software with cost-efficient, high-performance third-party hardware (often sourced from Asia). This approach is currently being piloted in a BC hospital, where a robot is helping deliver lab samples-a project supported by a grant from the BC government.The long-term vision is to transition entirely into a software licensing model. By showcasing the power of their AI through successful pilots, the company aims to establish trust with major global hardware vendors. This would allow manufacturers to license Ma Robot AI's software to upgrade their own mobile robots and vehicles, significantly accelerating market entry into high-impact sectors like healthcare and urban logistics.Liang emphasized that Ma Robot AI will focus on AI algorithms and software, which is their core strengths, and refrain from producing robots themselves.Eye on the Asia-Pacific MarketMA Robot AI is leveraging a Canadian Technology Accelerator (CTA) program to focus its international expansion on Taiwan's technology and manufacturing ecosystem. CEO Winnie Liang emphasized that Taiwan's strength in hardware, robotics, and supply chain efficiency makes it a perfect partner to scale their software-centric product.The company is actively seeking strategic partnerships with local industry leaders, technology integrators, and investors, with specific interest in meeting groups like URS Robot, Turin Drive, and Kingswaytek Technology during its November visit.Ma Robot AI is targeting an early-next-year Seed Funding Round, aiming to capitalize on the traction generated by their pilot successes and solidify their transition from a startup with promising technology to a pivotal software licensor in the global robotics landscape. Their ultimate goal is to see their AI bring robots out of the industrial warehouse and into broad, collaborative use alongside the human workforce within the next five years.Winnie Liang, CEO of Ma Robot AI. Credit: Ma Robot AI