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Microsoft Opens AI Laboratory in Tokyo with Kazuya Matsushita

Microsoft Opens AI Laboratory in Tokyo with Kazuya Matsushita

Microsoft Research has officially opened its latest laboratory in Tokyo, Japan, enhancing its commitment to AI research in the Asia-Pacific region. The lab will be led by Dr. Kazuya Matsushita, a former professor at Osaka University and a seasoned researcher at Microsoft Research Asia. This marks a significant return for Dr. Matsushita, who brings with him a decade of academic experience to spearhead this new initiative.

Focus Areas of the Laboratory

The Tokyo laboratory will concentrate on several key areas of research, including embodied AI, health and wellness, neuroscience, social AI, and industrial innovation. This focus aligns with Japan's socio-economic development priorities, aiming to provide innovative solutions that contribute to both local and global challenges. The laboratory seeks to establish strong collaborations with local academic institutions and industries, injecting new momentum into global innovation and talent development.

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In an exclusive interview, Dr. Matsushita expressed that his decision to return to Microsoft Research stemmed from the company's robust research capabilities in the evolving AI landscape and the unique opportunities afforded by the establishment of the new Tokyo lab. He remarked that Microsoft’s internal tools and resources have evolved significantly over the past decade, yet the culture of open collaboration and innovation remains a constant.

Addressing Social Challenges

Looking ahead, Dr. Matsushita emphasized that the laboratory will prioritize addressing critical social issues, particularly those faced by Japan, such as an aging population. He believes that the solutions developed in Tokyo could serve as vital references for other countries grappling with similar challenges. Furthermore, Japan's rich heritage in electronics, materials science, and robotics, coupled with its strong industrial base and educational framework, presents ample opportunities for the application of the lab's research outcomes.

Talent Development Initiatives

Dr. Matsushita also highlighted the laboratory's commitment to nurturing innovative talent. He plans to continue the successful talent development programs initiated at Microsoft Research Asia, focusing on cultivating the next generation of technology innovators. This will include opportunities for joint research, visiting scholars, and internships, aimed at attracting individuals passionate about solving pressing social problems.

In his previous work, Dr. Matsushita made significant contributions to computer vision, including advancements in photometry and video analysis. Notably, he developed a gigapixel camera for the digital preservation of the Mogao Caves in Dunhuang and video stabilization technology for Windows 7. He noted that the rise of deep learning has catalyzed progress in the computer vision field.

Advancing Embodied AI

Regarding the future of embodied AI research, Dr. Matsushita indicated that this field extends beyond conventional robotics, striving to develop intelligent systems capable of understanding and interacting within both physical and virtual environments. He expressed enthusiasm about collaborating with local industries and academic institutions in Japan to advance this intricate field.

Advice for Aspiring Researchers

Finally, Dr. Matsushita offered advice for young individuals interested in pursuing careers in computer vision and AI research. He emphasized the importance of building a strong foundation in mathematics and computer science while fostering a mindset of continuous learning to adapt to the rapidly changing technological landscape.

Key Points

  1. Microsoft has opened a new AI laboratory in Tokyo.
  2. Dr. Kazuya Matsushita, former Osaka University professor, leads the lab.
  3. The lab focuses on embodied AI, health, neuroscience, and social challenges.
  4. Talent development programs will prioritize innovative researchers.
  5. Dr. Matsushita encourages a solid foundation in mathematics and computer science for aspiring researchers.

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