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AI Engineering
MIT Technology Review·Jun 11·5 min read
The Download: soccer’s data renaissance and China’s big nuclear plans
TL;DR
Soccer has traditionally relied on intuition and experience, leaving tactical patterns underexplored. Jesse Davis and his team at KU Leuven developed AI-driven analytics to uncover these hidden strategies.
✦ Why It Matters
Engineers and researchers can leverage AI and data analytics to uncover insights in various fields beyond sports.
Key Takeaways
- Investigate AI tools for sports analytics to improve performance insights.
- Stay informed about global nuclear energy trends and their implications.
- Consider the impact of data-driven strategies in your field.
- Explore partnerships with academic institutions for innovative research.
Full Summary
Jesse Davis, a computer science professor at KU Leuven, is spearheading a revolution in soccer analytics through the use of artificial intelligence (AI) and data analytics. His Sports Analytics Lab has identified previously unnoticed tactical patterns that challenge traditional gameplay assumptions, influencing how soccer is played today.
In parallel, China is aggressively expanding its nuclear energy capabilities, having nearly doubled its nuclear fleet since 2016 to reach almost 60 gigawatts of power capacity. The country is set to construct six new reactors by 2025 and two more by 2026, positioning itself to surpass both the US and EU in installed nuclear capacity by 2030.
This rapid development highlights the complexities and significant investments involved in modern nuclear projects, which can cost billions and require intricate designs.