Chapter
Skills for Success in Experimental Physics and Machine Learning
1:14:22 - 1:24:12 (09:49)
In experimental physics, collaboration and hard work are crucial skills for success, while some individuals in machine learning lack a willingness to work with data. The goal of bringing European science together after experiencing a brain drain highlights the importance of collaboration in achieving breakthroughs.
Clips
The ability to collaborate, work hard and an obsession with being systematic, rigorous, unborrable and stubborn are key traits for experimental physicists rather than just having a big brain.
1:14:22 - 1:15:53 (01:30)
Summary
The ability to collaborate, work hard and an obsession with being systematic, rigorous, unborrable and stubborn are key traits for experimental physicists rather than just having a big brain. Particle accelerators are essentially a real-world instantiation of theoretical physics.
ChapterSkills for Success in Experimental Physics and Machine Learning
Episode#92 – Harry Cliff: Particle Physics and the Large Hadron Collider
PodcastLex Fridman Podcast
The speaker explains how the work of engineers like Elon Musk, who implement ideas and create impact, is often considered brilliant by some, but messy details by others like physicists who prioritize theoretical work.
1:15:53 - 1:17:09 (01:16)
Summary
The speaker explains how the work of engineers like Elon Musk, who implement ideas and create impact, is often considered brilliant by some, but messy details by others like physicists who prioritize theoretical work. However, there is no clear divide as some experimental physicists do engineering work too.
ChapterSkills for Success in Experimental Physics and Machine Learning
Episode#92 – Harry Cliff: Particle Physics and the Large Hadron Collider
PodcastLex Fridman Podcast
The upgrade in data collection allows researchers to better understand certain phenomena, particularly in the field of machine learning, and see the tail end of some quantum field in influencing these B quarks.
1:17:09 - 1:20:36 (03:26)
Summary
The upgrade in data collection allows researchers to better understand certain phenomena, particularly in the field of machine learning, and see the tail end of some quantum field in influencing these B quarks.
ChapterSkills for Success in Experimental Physics and Machine Learning
Episode#92 – Harry Cliff: Particle Physics and the Large Hadron Collider
PodcastLex Fridman Podcast
The Future Circular Collider is a long-term multi-decade project to build a 100 kilometer circumference tunnel under the Geneva region with an estimated cost of 30 billion euros spent between now and 2070.
1:20:36 - 1:24:12 (03:35)
Summary
The Future Circular Collider is a long-term multi-decade project to build a 100 kilometer circumference tunnel under the Geneva region with an estimated cost of 30 billion euros spent between now and 2070. The goal is to bring European science back together for peaceful purposes, however, data from any of these machines won't be available until 2040 or later due to the lengthy construction process and high expense.