京都大学SACRAデータ理学仮説創出ユニットでは，下記の通りミニ講演会を開催いたします。
本講演会は，理学分野全般の学生・教員を対象とし，AWSなどのクラウド技術を活用した最先端計算基盤が，現代の学術研究にどのように利用できるのかを概観します。
「The Research Revolution: How Cloud-Based AI, Quantum Computing, and HPC Are Redefining Academic Discovery」
講演者
Dr. Carina Kemp, Matt Harrison (Global Lead for Academic Research at AWS)
日時
2026年1月29日（木）15:00–16:00
会場
京都大学 理学部1号館 5階 563号室 地惑 共通大会議室
講演概要
This lecture will explore how cloud computing is revolutionizing academic research by providing unprecedented access to cutting-edge computational resources. The session will cover:
AI in the Cloud for Research
• How machine learning and deep learning frameworks accelerate data analysis, pattern recognition, and predictive modeling
• Real-world applications in fields like genomics, climate science, and drug discovery
• Democratizing AI access for researchers without massive on-premise infrastructure
Quantum Computing as a Service
• Introduction to quantum computing principles and their potential for solving complex problems
• Current quantum cloud platforms and how researchers can experiment with quantum algorithms
• Use cases in optimization, cryptography, and molecular simulation
High-Performance Computing (HPC) in the Cloud
• Elastic scalability for computationally intensive simulations and modeling
• Cost-effective access to supercomputing power for institutions of all sizes
• Parallel processing capabilities for large-scale data analysis
Practical Benefits
• Reduced time-to-insight through on-demand resource scaling
• Collaboration opportunities across institutions with shared cloud environments
• Cost optimization by paying only for resources used rather than maintaining expensive infrastructure
Case Studies
• Examples of breakthrough research accelerated by cloud-based AI, quantum, and HPC
• Lessons learned and best practices for academic institutions
The lecture will emphasize how these technologies, once accessible only to well-funded institutions, are now available to researchers worldwide through cloud platforms, fundamentally democratizing computational research capabilities
問い合わせ
橋本幸士, 鍛冶静雄