Microsoft Research
Yasuyuki Matsushita rejoins Microsoft to lead the new Microsoft Research Asia - Tokyo lab. Learn more about his journey and his perspective on the Tokyo lab's role in evolution of AI. The post Introducing Yasuyuki Matsushita: Tackling societal challenges with AI at Microsoft Research Asia – Tokyo appeared first on Microsoft Research. Another notable project was the development of video stabilization technology, which was integrated into Windows 7 as part of Media Foundation. This technology improved video quality by compensating for unwanted camera movements, delivering smoother and more professional-looking output. The creation of real-time algorithms capable of processing and stabilizing video was groundbreaking at that time. Since then, the introduction of deep learning, large datasets, and sophisticated neural network architectures has propelled computer vision to new heights. Tasks that were once considered difficult, such as object detection, recognition, and segmentation, are now standard with modern AI techniques. Current research continues to push the boundaries by exploring innovative network architectures, new learning strategies, and enhanced datasets. A particularly exciting trend is the use of AI in real-world interactive scenarios, leading to the emergence of embodied AI, which is a major focus of my current work. Understanding embodied AI beyond robotics Question: Your current research interests include embodied AI, which is also one of the key areas at Microsoft Research Asia – Tokyo. What exactly is embodied AI, and how does it differ from robotics? Yasuyuki Matsushita: Embodied AI goes beyond traditional robotics. While robots are typically machines equipped with actuators designed to execute specific tasks, embodied AI focuses on developing intelligent systems that can perform complex tasks while understanding and interacting within physical and virtual environments. Robotics and AI have developed independently, but embodied AI is the convergence of these two fields, integrating AI with physical agents that can perceive, act, and learn in dynamic real-world environments. This field is inherently interdisciplinary, involving aspects such as robotic control, reinforcement learning, spatial awareness, human-robot interaction, reasoning, and more. For instance, embodied AI includes the ability to infer cause and effect, such as understanding that an unsupported laptop will fall due to gravity. These types of interactions and interpretations stem from engaging with and understanding the physical world, making embodied AI an exciting and multifaceted area of research. Given the complexity of embodied AI, no single organization can cover all aspects of its development alone. We look forward to collaborating with local industry and academic institutions in Japan, leveraging their expertise alongside our strengths in AI to advance the field. Advice for aspiring researchers in computer vision and AI Question: You’ve had an extensive career spanning academia and industry. From your experience as both an educator and a researcher, what advice would you give to young people interested in pursuing research in computer vision and AI? Yasuyuki Matsushita: For students interested in computer vision and AI, a strong foundation in mathematics and computer science is essential, even as specific research topics and technologies evolve. A deep understanding of fundamental mathematical concepts, such as gradients, Jacobians, and vector spaces, is indispensable. Mastery of these principles will be beneficial regardless of changes in programming languages or development platforms. Maintaining a mindset of continuous learning is equally important, as the field is constantly evolving. For example, deep learning was not as prominent a decade ago but is now central to the field. At Microsoft, we emphasize the importance of a growth mindset being adaptable, open to new technologies, and willing to pivot with industry advancements. Early career professionals should cultivate the ability to quickly acquire new skills while building on their foundational knowledge. This adaptability is key to long-term success in research and development. Opens in a new tabThe post Introducing Yasuyuki Matsushita: Tackling societal challenges with AI at Microsoft Research Asia – Tokyo appeared first on Microsoft Research.
Published: 2024-11-18T16:00:00
