German China
Professor Tan Eng Chye (fifth from left), NUS President, met Dr Lidong Zhou (fourth from left), Corporate Vice President and Managing Director of MSRA, and Ms Lee Hui Li (sixth from right), Managing Director of Microsoft Singapore, in 2024.  (Source: Microsoft Research Asia)
Next-Gen Solutions

NUS Partners with Microsoft Research Asia for AI Research and Computing Talent

With this collaboration, NUS and Microsoft Research Asia plan to focus on AI-driven research in key areas such as healthcare, societal AI, spatial intelligence, as well as data-intensive computing. This partnership will boost progress in these fields, enhance cross-disciplinary research capability, and aim to strengthen the region’s role in shaping the future of AI and computing on a global scale.

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Astrazeneca has recently announced 50 billion dollars of investment in the United States by 2030, building on America’s global leadership in medicines manufacturing and R&D.  (Source: Astrazeneca)
Medicine Production

Astrazeneca to Invest 50 Billion Dollars in the USA

With a mega investment of 50 billion dollars, Astrazeneca has plans to expand its presence in medicines manufacturing and R&D in the USA. The company intends to set up a new multi-billion-dollar manufacturing facility in the country which is expected to produce drug substances for the Company’s innovative weight management and metabolic portfolio.

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Kobe University bioengineers came up with a new way of automatically grouping large numbers of enzymes in a way that makes it easy to select a set of meaningful representatives and focus research on these. (Source: Hidese Ryota)
From Data to Discovery

New Robotic Method Unearths Super-Enzyme for Green Chemistry

Hasunuma Tomohisa and his team developed a workflow that allows them to screen a large variety of enzymes for a given function and tried it on a class of almost 7000 enzymes that are involved in a process needed to produce the raw materials for fuels, plastics and flavors. The Kobe University team now reports that this approach allowed them to identify an enzyme that has a productivity up to ten times higher than that of the current industry standard.

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