Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528

Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528

Today we’re joined by Andrea Banino, a research scientist at DeepMind. In our conversation with Andrea, we explore his interest in artificial general intelligence by way of episodic memory, the relationship between memory and intelligence, the challenges of applying memory in the context of neural networks, and how to overcome problems of generalization. We also discuss his work on the PonderNet, a neural network that “budgets” its computational investment in solving a problem, according to the inherent complexity of the problem, the impetus and goals of this research, and how PonderNet connects to his memory research. The complete show notes for this episode can be found at twimlai.com/go/528.

Episoder(781)

Synthetic Data Generation for Robotics with Bill Vass - #588

Synthetic Data Generation for Robotics with Bill Vass - #588

Today we’re joined by Bill Vass, a VP of engineering at Amazon Web Services. Bill spoke at the most recent AWS re:MARS conference, where he delivered an engineering Keynote focused on some recent upda...

22 Aug 202236min

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side a...

15 Aug 202243min

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Today we close out our ICML 2022 coverage joined by Sharad Goel, a professor of public policy at Harvard University. In our conversation with Sharad, we discuss his Outstanding Paper award winner Caus...

8 Aug 202237min

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware E...

1 Aug 202244min

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknow...

25 Jul 202239min

Managing Data Labeling Ops for Success with Audrey Smith - #583

Managing Data Labeling Ops for Success with Audrey Smith - #583

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML...

18 Jul 202247min

Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

Today we’re joined by Richard Socher, the CEO of You.com. In our conversation with Richard, we explore the inspiration and motivation behind the You.com search engine, and how it differs from the trad...

11 Jul 202246min

On The Path Towards Robot Vision with Aljosa Osep - #581

On The Path Towards Robot Vision with Aljosa Osep - #581

Today we wrap up our coverage of the 2022 CVPR conference joined by Aljosa Osep, a postdoc at the Technical University of Munich & Carnegie Mellon University. In our conversation with Aljosa, we explo...

4 Jul 202247min

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