Deep connections: why two AI pioneers won the Nobel Prize for Physics
Our podcast guest is Anil Ananthaswamy, author of Why Machines Learn
Read article: Deep connections: why two AI pioneers won the Nobel Prize for Physics
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I am an online editor of Physics World. I did a PhD in condensed-matter physics at McMaster University in Canada. I am still fascinated by what is an extremely rich and varied subject that I believe is ignored by the media (Physics World excepted, of course). As a result, I’m happiest when I’m blogging about topological insulators, the latest quasiparticle or some other quirk of condensed matter. So, if you spot something weird and wonderful in solid-state physics, please get in touch. In my spare time I am a Scout leader.
Our podcast guest is Anil Ananthaswamy, author of Why Machines Learn
Read article: Deep connections: why two AI pioneers won the Nobel Prize for Physics
Protein designer is also honoured in this year’s award
Read article: Pioneers of AI-based protein-structure prediction share 2024 chemistry Nobel prize
Duo win for their work on machine learning
Read article: John Hopfield and Geoffrey Hinton share the 2024 Nobel Prize for Physics
Chatting with Frank Wilczek and Albert Fert
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We are expecting a prize in condensed-matter physics in 2024
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Physics World editors gaze into their crystal ball and reminisce about past Nobel winners
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The magical day Bertram Brockhouse won his prize
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Unhelpful or rude feedback can shake the confidence of early career researchers
Read article: Science thrives on constructive and respectful peer review
Two medical physicists talk about the future of treatment and diagnostic technologies
Read article: Diagnosing and treating disease: how physicists keep you safe during healthcare procedures
In this podcast we chat about active matter, artificial intelligence and storm Ciarán
Read article: Looking to the future of statistical physics, how intense storms can affect your cup of tea