Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Today we’re joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. In our conversation, discuss the current landscape of pharmaceutical drugs and drug discovery, including the current pricing of drugs, and an overview of Insitro’s goal of using ML as a “compass” in drug discovery. We also explore how Insitro functions as a company, their focus on the biology of drug discovery and the landscape of ML techniques being used, Daphne’s thoughts on AutoML, and

Jaksot(778)

Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410

Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410

Today we’re joined by Kavita Bala, the Dean of Computing and Information Science at Cornell University.  Kavita, whose research explores the overlap of computer vision and computer graphics, joined u...

17 Syys 202038min

That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409

That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409

Today we’re joined by Nikos Athanasiou, Muhammed Kocabas, Ph.D. students, and Michael Black, Director of the Max Planck Institute for Intelligent Systems.  We caught up with the group to explore thei...

14 Syys 202043min

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408

3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408

Today we’re joined by Georgia Gkioxari, a research scientist at Facebook AI Research.  Georgia was hand-picked by the TWIML community to discuss her work on the recently released open-source library ...

10 Syys 202035min

What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

Today we’re joined by the legendary Michael I. Jordan, Distinguished Professor in the Departments of EECS and Statistics at UC Berkeley.  Michael was gracious enough to connect us all the way from It...

7 Syys 202056min

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine.  Sameer’s work centers on large-scale and interpretable machine learning applied to info...

3 Syys 202041min

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405

Today we’re joined by Gary Ren, a machine learning engineer for the logistics team at DoorDash.  In our conversation, we explore how machine learning powers the entire logistics ecosystem. We discuss...

31 Elo 202043min

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Today we’re joined by Dillon Erb, Co-founder & CEO of Paperspace. We’ve followed Paperspace since their origins offering GPU-enabled compute resources to data scientists and machine learning develope...

27 Elo 202044min

AI and the Responsible Data Economy with Dawn Song - #403

AI and the Responsible Data Economy with Dawn Song - #403

Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on b...

24 Elo 202053min

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