Meet two winners of the Physics World 2024 Breakthrough of the Year
Meet a winner of the Physics World 2024 Breakthrough of the Year
Lively chat about antimatter, medical physics, quantum computing, lasers and more
Network leads Alastair Hibbins and Claire Dancer are our podcast guests
This podcast also looks at the connections between clouds and global warming
This podcast features an advanced-materials expert and a prizewinning science communicator
We chat to a radiation oncologist and two atomic-clock experts
Roadmap authors look to the future of photovoltaic technologies in this podcast
This podcast is sponsored by MIT Sloan School of Management
Exploring a career in physics, systems engineering and advising the UK's Department for Business and Trade
This podcast is sponsored by LIV.INNO, the Liverpool Centre for Doctoral Training for Innovation in Data-Intensive Science
Our podcast guest is Anil Ananthaswamy, author of Why Machines Learn
Physics World editors gaze into their crystal ball and reminisce about past Nobel winners
Unhelpful or rude feedback can shake the confidence of early career researchers
Two medical physicists talk about the future of treatment and diagnostic technologies
In this podcast we chat about active matter, artificial intelligence and storm Ciarán
Equal1’s Elena Blokhina and Harvard’s Brandon Grinkemeyer are our guests
This podcast features an astrobiologist who has identified similar radio signals
Our podcast guest is Christophe Rossel, co-author of EPS Grand Challenges
This podcast explores how quantum technologies are revolutionizing medicine
DemonDogs
guest needs to learn about lethality halving, poor analytical thinking
Andrew Miller
Great episode, which highlights the role of machine learning algorithms in processing vast amounts of data and identifying potential signals from outer space. Exploring the application of machine learning in the pursuit of understanding the universe is both intriguing and thought-provoking. On a related note, I encourage you to check out this article https://www.the-next-tech.com/development/the-vital-role-of-data-annotation-in-ai-development/. This informative piece discusses the crucial role of data annotation in training AI models effectively. Data annotation involves labeling and annotating data to provide the necessary context and structure for machine learning algorithms. Understanding the significance of data annotation is essential for anyone involved in AI development.
herbsta magus
One novel solution for the future would be to set up quantum computing clusters on cold planets and bodies throughout the solar system. You could then use this solar system wide processing power to do tasks for spacecraft and other computer systems throughout the solar system and on earth using cloud computing expanded to the solar system scale. Give me credit when this idea is used in the distant future.