Machine learning is physics (Ep. 211)

DHH told Rails World that hand-written code is over, that HEY's backend is being AI-rewritten in Rust ("amazing, as long as you never look at it"), and that developer happiness no longer matters. This episode checks his statements. Struggling with AI and Software? Here is my new ...  Show more

Fifty years ago Fred Brooks showed why adding more people to a late project makes it later. Today we do the same thing with tokens — more context, more autonomy, same myth, different currency. Struggling with AI and Software? Here is my new book available for purchase on https:// ...  Show more

💻 Full tutorial: • Physics-Informed Neural Networks (PIN... Physics-Informed Neural Networks (PINNs) integrate known physical laws into neural network learning, particularly for solving differential equations. They embed these laws into the network's loss function, guiding the l ...  Show more

Large language models are changing the way physics is taught and practised 

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning. Learn more about your ad-choices at https://www.iheartpodcastnetwork.comSee omnystudio ...  Show more

<span class="s1">This episode features an interview with Rigel Smiroldo recorded at NIPS 2017 in Long Beach California.<span class="Apple-converted-space"> </span> We discuss data privacy, machine learning use cases, model deployment, and end-to-end machine learning ...