Generally Intelligent

Por: Kanjun Qiu
Conversations with builders and thinkers on AI's technical and societal futures. Made by Imbue.
38 episodios disponibles

Latest episodes of the podcast Generally Intelligent

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Oleh Rybkin, UPenn: Exploration and planning with world models 11/07/2022
Andrew Lampinen, DeepMind. Symbolic behavior, mental time travel, and insights from psychology 28/02/2022
Yilun Du, MIT: Energy-based models, implicit functions, and modularity 21/12/2021
Martín Arjovsky, INRIA: Benchmarks for robustness and geometric information theory 15/10/2021
Yash Sharma, MPI-IS: Generalizability, causality, and disentanglement 24/09/2021
Jonathan Frankle, MIT: The lottery ticket hypothesis and the science of deep learning 10/09/2021
Jacob Steinhardt, UC Berkeley: Machine learning safety, alignment and measurement 18/06/2021
Vincent Sitzmann, MIT: Neural scene representations for computer vision and more general AI 20/05/2021
Dylan Hadfield-Menell, UC Berkeley/MIT: The value alignment problem in AI 12/05/2021
Drew Linsley, Brown: Inductive biases for vision and generalization 02/04/2021
Giancarlo Kerg, Mila: Approaching deep learning from mathematical foundations 27/03/2021
Yujia Huang, Caltech: Neuro-inspired generative models 18/03/2021
Julian Chibane, MPI-INF: 3D reconstruction using implicit functions 05/03/2021
Katja Schwarz, MPI-IS: GANs, implicit functions, and 3D scene understanding 24/02/2021
Joel Lehman, OpenAI: Evolution, open-endedness, and reinforcement learning 17/02/2021
Cinjon Resnick, NYU: Activity and scene understanding 01/02/2021
Sarah Jane Hong, Latent Space: Neural rendering & research process 07/01/2021
Kelvin Guu, Google AI: Language models & overlooked research problems 15/12/2020
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