Geometry-Aware Neural Rendering with Josh Tobin - #360

Geometry-Aware Neural Rendering with Josh Tobin - #360

Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning. We had the pleasure of sitting down with Josh prior to his presentation of his paper Geometry-Aware Neural Rendering at NeurIPS. Josh's goal is to develop implicit scene understanding, building upon Deepmind's Neural scene representation and rendering work. We discuss challenges, the various datasets used to train his model, and the similarities between VAE training and his process, and mor

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Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294

Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294

Today we’re joined by Angela Bassa, Director of Data Science at iRobot. In our conversation, Angela and I discuss: • iRobot's re-architecture, and a look at the evolution of iRobot. • Where iRobot g...

26 Aug 201948min

Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293

Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293

Today we’re joined by Olivier Bachem, a research scientist at Google AI on the Brain team. Olivier joins us to discuss his work on Google’s research football project, their foray into building a nove...

22 Aug 201942min

Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292

Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292

Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. In our conversation with Tijmen we discuss:  • The ins and outs of...

19 Aug 201950min

Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291

Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291

Today we are joined by Anubhav Jain, Staff Scientist & Chemist at Lawrence Berkeley National Lab. We discuss his latest paper, ‘Unsupervised word embeddings capture latent knowledge from materials sci...

15 Aug 201939min

The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290

The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290

Today we are joined by Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University. In this episode we discuss her paper, ‘Please Stop...

14 Aug 201948min

Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289

Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289

Today we’re joined by Dr. Kate Darling, Research Specialist at the MIT Media Lab. Kate’s focus is on robot ethics, the social implication of how people treat robots and the purposeful design of robots...

8 Aug 201943min

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

Today we’re joined by Danny Stoll, Research Assistant at the University of Freiburg. Danny’s current research can be encapsulated in his latest paper, ‘Learning to Design RNA’. In this episode, Danny ...

5 Aug 201937min

Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287

Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287

Today we’re joined by Theofanis Karayannis, Assistant Professor at the Brain Research Institute of the University of Zurich. Theo’s research is focused on brain circuit development and uses Deep Learn...

1 Aug 201937min

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