KryptonKast is a fun, informative podcast where a math enthusiasts chats for a few minutes about their experiences in mathematics and what they've learned. Each episode dives into a mathematical concept (it's not as scary as it sounds!) and unwraps the surprising ways math shapes our world.
Stay mathematically.
Hello everyone!!
I hope you are doing well. I am Tiago! As I begin my journey on a PhD in Newcastle, I would like to discuss with you the research in Mathematics. I hope you like it.
Please, leave some feedback in the comments.
Stay mathematically!
Krypton: linktr.ee/krypton_mathematics
22 Oct 2024
KryptonKast Ep.2 - Best software in Mathematics
Hello everyone!!
I hope you are doing well. I am Tiago! There are many softwares designed for mathematicians. Some are open source, others need a subscription. In this episode, I review each software and for one those might be useful. I hope you like it.
Please, leave some feedback in the comments.
Stay mathematically!
Krypton: linktr.ee/krypton_mathematics
12 Oct 2024
KryptonKast Ep.1 - Artificial Neural Networks
Hello everyone!!
I hope you are doing well. I am Tiago and this is the first episode of my new podcast! John Hopfield and Geoffrey Hinton won the 2024 Physics Nobel Prize, due to their
discoveries and inventions that enable machine learning with artificial neural networks. For that reason, in this episode, I will explain what are Artificial Neural Networks and their John Hopfield and Geoffrey Hinton impact. I hope you like it.
Please, leave some feedback in the comments.
Stay mathematically!
Krypton: linktr.ee/krypton_mathematics
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Spotify
5.0 / 5
4 ratings
Host of KryptonKast?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
