Главная
Study mode:
on
1
Introduction
2
What is Machine Learning
3
What should we do with Machine Learning
4
The urgency of these problems
5
The strategy problem
6
The showstoppers
7
Climate change
8
Ocean acidification
9
Global strategies
10
Starcraft
11
Implications to War
12
Geoengineering
13
Protein Folding
14
Machine Learning
15
Information Technology
16
Risks
17
Summary
Description:
Explore the intersection of machine learning and Earth sciences in this 46-minute conference talk by David Hall at KDD2020. Delve into the potential applications and challenges of machine learning in addressing urgent global issues such as climate change and ocean acidification. Examine the strategic implications of AI in various domains, including warfare and geoengineering. Discover how machine learning can contribute to solving complex problems like protein folding and discuss the associated risks and ethical considerations. Gain insights into the role of information technology in shaping our approach to global challenges and consider the broader implications of integrating AI into Earth-related research and decision-making processes.

Machine Learning and the Earth David Hall

Association for Computing Machinery (ACM)
Add to list
0:00 / 0:00