logo
episode-header-image
Apr 2023
27m 40s

The Power of Graph Neural Networks: Unde...

FRANCESCO GADALETA
About this episode

In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data points in a graph structure.

I also delve into the various real-world applications of GNNs, from drug discovery to recommendation systems, and how they are outperforming traditional machine learning models.

Join me and demystify this exciting area of AI research and discover the power of graph neural networks.

Up next
Jul 7
Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 286) [RB]
From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing here are my thoughts about AI replacing programmers... 🎙️ Sponsors AGNTCY — The open sour ... Show More
18m 44s
Jun 18
Brains in the Machine: The Rise of Neuromorphic Computing (Ep. 285)
In this episode of Data Science at Home, we explore the fascinating world of neuromorphic computing — a brain-inspired approach to computation that could reshape the future of AI and robotics. The episode breaks down how neuromorphic systems differ from conventional AI architectu ... Show More
24m 18s
Jun 3
DSH/Warcoded - AI in the Invisible Battlespace (Ep. 284)
This episode explores the invisible battlespace of cyber and electronic warfare, where AI takes center stage. From autonomous hacking bots to smart jamming and adversarial attacks on machine learning models, we uncover how modern conflicts are increasingly fought with code, not b ... Show More
21m 22s
Recommended Episodes
Aug 2023
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency pro ... Show More
45m 15s
Aug 2017
[MINI] Recurrent Neural Networks
RNNs are a class of deep learning models designed to capture sequential behavior.  An RNN trains a set of weights which depend not just on new input but also on the previous state of the neural network.  This directed cycle allows the training phase to find solutions which rely o ... Show More
17m 6s
Aug 2020
الذكاء الإصطناعي 2 : مابين الثورة و المقاومة
هذا الجزء الثاني من سلسلتنا عن الذكاء الاصطناعي  ، أذا ماسمعت الجزء الاول انصحك تبدا فيه ، بنتكلم في هالحلقة عن استخدامات و تطبيقات تعلم الالة والذكاء الاصطناعي ، من السيارات ذاتية القيادة ، أنظمة فبركة الصوت والفيديو ، نظام ساهر لرصد المخالفات المرورية ، أنظمة توقع واستباق الاعط ... Show More
1h 19m
Jul 2017
067: Latest Developments in the Field of AI and How it is Changing the World
In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Al ... Show More
38m 57s
Jan 2015
Easily Fooling Deep Neural Networks
My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the Evolving AI lab. The episode discusses the paper Deep Neural Networks are Easily Fooled [pdf] by Anh Nguyen, Jason Yosinski, and Jeff Clune. It describes a process for creating images that ... Show More
28m 25s
Jul 2017
Intel Nervana Update + Productizing AI Research with Naveen Rao And Hanlin Tang - TWiML Talk #31
I talked about Intel’s acquisition of Nervana Systems on the podcast when it happened almost a year ago, so I was super excited to have an opportunity to sit down with Nervana co-founder Naveen Rao, who now leads Intel’s newly formed AI Products Group, for the first show in our O ... Show More
38m 10s
Dec 2023
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural netwo ... Show More
57m 43s
Feb 2023
Terry Sejnowski: NeurIPS and the Future of AI
In this episode, Terry Sejnowski, an AI pioneer, chairman of the NeurIPS Foundation, and co-creator of Boltzmann Machines, delves into the latest developments in deep learning and their potential impact on our understanding of the human brain. Terry Sejnowski begins by discussing ... Show More
37m 5s
Oct 2017
The Complexity of Learning Neural Networks
Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the ma ... Show More
38m 51s