Explore the cutting-edge of artificial intelligence (AI), machine learning, optimization, signal processing, wireless communications, networking, and broader networked systems. Join us as we dive deep into frontier research papers, uncover groundbreaking innovations, and discuss the possibilities shaping the future of technology and science.
Publishes | Weekly | Episodes | 9 | Founded | 2 months ago |
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Number of Listeners | Category | Technology |
In this episode, we dive into the applications of graph neural networks as a learnable digital twin of network simulators, which can accelerate network optimization by its fast and differentiable prediction of networking key performance indicators (K... more
In this episode, we dive into a survey paper of the applications of graph neural networks in electrical engineering. This episode is based on our recent publication in Nature Review Electrical Engineering.
Generated using NotebookLM from Google, thi... more
In this episode, we dive into fully distributed online training of graph neural networks deployed in networked systems. This episode is based on our recent preprint by Rostyslav Olshevskyi from Rice University.
Generated using NotebookLM from Google... more
In this episode, we dive into the combination of graph neural networks and unsupervised primal-dual learning, a model-free approach to scalable, intelligent wireless resource allocations. This episode is based on two papers published in IEEE Transact... more
In this episode, we dive into annealed Langevin dynamics, a new approach to linear inverse problems, such as massive MIMO detection, image deblurring, and network topology inference. This episode is based on two papers published in IEEE Transactions ... more
In this episode, we dive into neural OFDM receivers, a series of four papers published in IEEE Journal on Selected Areas in Communications (JSAC) and IEEE Transactions on Wireless Communications (TWC) on the topic of leveraging deep learning to enhan... more
In this episode, we dive into our own tutorial (IEEE ICMLCN, MILCOM 2024) on how could graph neural networks be used to enhance wireless communications.
Generated using NotebookLM from Google, this podcast highlights the key findings and implicati... more
In this episode, we dive into distributional reinforcement learning, including three papers from Google DeepMind and another Cell paper from Harvard. Generated using NotebookLM from Google, this podcast highlights the key findings and implications of... more
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Deep Dive into Networked AI launched 2 months ago and published 9 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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