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This Week in Machine Learning & Artificial Intelligence (AI) Podcast

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This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.
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United States

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This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.

Language:

English


Episodes

Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282

7/15/2019
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Today we’re joined by Michael Levin, Director of the Allen Discovery Institute at Tufts University. Michael joined us back at NeurIPS to discuss his invited talk “What Bodies Think About: Bioelectric Computation Beyond the Nervous System as Inspiration for New Machine Learning Platforms.” In our conversation, we talk about: Synthetic living machines, novel AI architectures and brain-body plasticityHow our DNA doesn’t control everything like we thought and how the behavior of cells in living...

Duration:00:25:54

Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281

7/9/2019
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Today we’re joined by Batu Arisoy, Research Manager with the Vision Technologies & Solutions team at Siemens Corporate Technology. Currently, Batu’s research focus is solving limited data computer vision problems, providing R&D for many of the business units throughout the company. In our conversation we discuss: An emulation of a teacher teaching students information without the use of memorizationDiscerning which parts of our neural network are required to make decisionsAn activity...

Duration:00:41:35

Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280

7/8/2019
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Today we’re joined by Jeff Gehlhaar, VP of Technology and Head of AI Software Platforms at Qualcomm. As we’ve explored in our conversations with both Gary Brotman and Max Welling, Qualcomm has a hand in tons of machine learning research and hardware, and our conversation with Jeff is no different. We discuss: • How the various training frameworks fit into the developer experience when working with their chipsets. • Examples of federated learning in the wild. • The role inference will play...

Duration:00:54:07

Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons - TWIML Talk #279

7/1/2019
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Today we’re joined by return guest Daniel Jeavons, GM of Data Science at Shell, and Adi Bhashyam, GM of Data Science at C3, who we had the pleasure of speaking to at this years C3 Transform Conference. In our conversation, we discuss: • The progress that Dan and his team has made since our last conversation, including an overview of their data platform. • We explore the various types of users of the platform, and how those users informed the decision to use C3’s out-of-the-box platform...

Duration:00:46:25

Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278

6/27/2019
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Today we’re joined by Yunfan Gerry Zhang, a PhD student in the Department of Astrophysics at UC Berkely, and an affiliate of Berkeley’s SETI research center. In our conversation, we discuss: • Gerry's research on applying machine learning techniques to astrophysics and astronomy. • His paper “Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach”. • We explore the types of data sources used for this project, challenges Gerry encountered along the way, the...

Duration:00:38:03

Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277

6/24/2019
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Today we’re joined by Laurence Watson, Co-Founder and CTO of Plentiful Energy and a former data scientist at Carbon Tracker. In our conversation, we discuss: • Carbon Tracker's goals, and their report “Nowhere to hide: Using satellite imagery to estimate the utilisation of fossil fuel power plants”. • How they're using computer vision to process satellite images of coal plants, including how the images are labeled •Various challenges with the scope and scale of this project, including...

Duration:00:41:07

Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

6/20/2019
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Today we’re joined by William Fehlman, director of data science at USAA. We caught up with William a while back to discuss: His work on topic modeling, which USAA uses in various scenarios, including chat channels with members via mobile and desktop interfaces.How their datasets are generated.Explored methodologies of topic modeling, including latent semantic indexing, latent Dirichlet allocation, and non-negative matrix factorization.We also explore how terms are represented via a...

Duration:00:44:25

Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275

6/18/2019
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Today we’re joined by Judy Gichoya an interventional radiology fellow at the Dotter Institute at Oregon Health and Science University. In our conversation, we discuss: • Judy's research in “Phronesis of AI in Radiology: Superhuman meets Natural Stupidy,” reviewing the claims of “superhuman” AI performance in radiology. • We explore potential roles in which AI can have success in radiology, along with some of the different types of biases that can manifest themselves across multiple use...

Duration:00:43:03

The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274

6/14/2019
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Today we’re joined by Karen Levy, assistant professor in the department of information science at Cornell University. Karen’s research focuses on how rules and technologies interact to regulate behavior, especially the legal, organizational, and social aspects of surveillance and monitoring. In our conversation we discuss: • Examples of how data tracking and surveillance can be used in ways that can be abusive to various marginalized groups, including detailing her extensive research into...

Duration:00:44:40

Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273

6/11/2019
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Today we’re joined by Matt Adereth, managing director of investments at Two Sigma, and return guest Scott Clark, co-founder and CEO of SigOpt, to discuss: • The end to end modeling platform at Two Sigma, who it serves, and challenges faced in production and modeling. • How Two Sigma has attacked the experimentation challenge with their platform. • The relationship between the optimization and infrastructure teams at SigOpt. • What motivates companies that aren’t already heavily invested...

Duration:00:49:08

Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272

6/6/2019
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Today we’re joined by Kelley Rivoire, engineering manager working on machine learning infrastructure at Stripe. Kelley and I caught up at a recent Strata Data conference to discuss: • Her talk "Scaling model training: From flexible training APIs to resource management with Kubernetes." • Stripe’s machine learning infrastructure journey, including their start from a production focus. • Internal tools used at Stripe, including Railyard, an API built to manage model training at scale &...

Duration:00:45:06

Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271

6/3/2019
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Today we continue our AI Platforms series joined by Yi Zhuang, Senior Staff Engineer at Twitter & Tech Lead for Machine Learning Core Environment at Twitter Cortex. In our conversation, we cover: • The machine learning landscape at Twitter, including with the history of the Cortex team • Deepbird v2, which is used for model training and evaluation solutions, and it's integration with Tensorflow 2.0. • The newly assembled “Meta” team, that is tasked with exploring the bias, fairness, and...

Duration:00:49:19

Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270

5/30/2019
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Today we’re joined by Alex Ratner, Ph.D. student at Stanford. In our conversation, we discuss: • Snorkel, the open source framework that is the successor to Stanford's Deep Dive project. • How Snorkel is used as a framework for creating training data with weak supervised learning techniques. • Multiple use cases for Snorkel, including how it is used by large companies like Google. The complete show notes can be found at twimlai.com/talk/270. Follow along with the entire AI Platforms Vol...

Duration:00:45:41

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269

5/28/2019
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In this, the kickoff episode of AI Platforms Vol. 2, we're joined by Adrien Gaidon, Machine Learning Lead at Toyota Research Institute. Adrien and I caught up to discuss his team’s work on deploying distributed deep learning in the cloud, at scale. In our conversation, we discuss: • The beginning and gradual scaling up of TRI's platform. • Their distributed deep learning methods, including their use of stock Pytorch. • Applying devops to their research infrastructure, and much more! The...

Duration:00:50:03

Are We Being Honest About How Difficult AI Really Is? w/ David Ferrucci - TWiML Talk #268

5/23/2019
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Today we’re joined by David Ferrucci, Founder, CEO, and Chief Scientist at Elemental Cognition, a company focused on building natural learning systems that understand the world the way people do. In our conversation, we discuss: • His experience leading the team that built the IBM Watson system that won on Jeopardy. • The role of “understanding” in the context of AI systems, and the types of commitments and investments needed to achieve even modest levels of understanding in these...

Duration:00:52:35

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

5/20/2019
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Today we’re joined by Max Welling, research chair in machine learning at the University of Amsterdam, as well as VP of technologies at Qualcomm, and Fellow at the Canadian Institute for Advanced Research, or CIFAR. In our conversation, we discuss: • Max’s research at Qualcomm AI Research and the University of Amsterdam, including his work on Bayesian deep learning, Graph CNNs and Gauge Equivariant CNNs, and in power efficiency for AI via compression, quantization, and compilation. • Max’s...

Duration:01:04:25

Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

5/16/2019
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Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University, Founder and Director of the Rice Center for Transforming Data to Knowledge and Investigator with the Neurological Research Institute with the Baylor College of Medicine. Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation we cover: •...

Duration:00:41:53

Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265

5/13/2019
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Today we’re joined by Ahmed Elgammal, a professor in the department of computer science at Rutgers, and director of The Art and Artificial Intelligence Lab. In my conversation with Ahmed, we discuss: • His work on AICAN, a creative adversarial network that produces original portraits, trained with over 500 years of European canonical art. • How complex the computational representations of the art actually are, and how he simplifies them. • Specifics of the training process, including the...

Duration:00:37:12

Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264

5/10/2019
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Today we close out our PyDataSci series joined by Rebecca Bilbro, head of data science at ICX media and co-creator of the popular open-source visualization library YellowBrick. In our conversation, Rebecca details: • Her relationship with toolmaking, which led to the eventual creation of Yellowbrick. • Popular tools within YellowBrick, including a summary of their unit testing approach. • Interesting use cases that she’s seen over time. • The growth she’s seen in the community of...

Duration:00:42:33

Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263

5/9/2019
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Today we continue our PyDataSci series joined by Brian McFee, assistant professor of music technology and data science at NYU, and creator of LibROSA, a python package for music and audio analysis. Brian walks us through his experience building LibROSA, including: • Detailing the core functions provided in the library, • His experience working within Jupyter Notebook, • We explore a typical LibROSA workflow & more! The complete show notes for this episode can be found at...

Duration:00:39:08