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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

Live from TWIMLcon! Operationalizing Responsible AI - #310

10/22/2019
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An often forgotten about topic garnered high praise at TWIMLcon this month: operationalizing responsible and ethical AI. This important topic was combined with an impressive panel of speakers, including: Rachel Thomas, Director, Center for Applied Data Ethics at the USF Data Institute, Guillaume Saint-Jacques, Head of Computational Science at LinkedIn, and Parinaz Sobahni, Director of Machine Learning at Georgian Partners, moderated by Khari Johnson, Senior AI Staff Writer at VentureBeat....

Duration:00:30:32

Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

10/18/2019
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In this episode from a stellar TWIMLcon panel, the state and future of larger, more established brands is analyzed and discussed. Hear from Amr Awadallah, Founder and Global CTO of Cloudera, Pallav Agrawal, Director of Data Science at Levi Strauss & Co., and Jürgen Weichenberger, Data Science Senior Principal & Global AI Lead at Accenture, moderated by Josh Bloom Professor at UC Berkeley. In this episode we discuss: For an ML/AI initiative to be successful, a conscious and noticeable shift...

Duration:00:33:36

Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308

10/15/2019
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TWIMLcon brought together so many in the ML/AI community to discuss the unique challenges to building and scaling machine learning platforms. In this episode, hear from a diverse set of panelists including: Pardis Noorzad, Data Science Manager at Twitter, Eric Colson, Chief Algorithms Officer Emeritus at Stitch Fix, and Jennifer Prendki, Founder & CEO at Alectio, moderated by Maribel Lopez, Founder & Principal Analyst at Lopez Research: How to approach changing the way companies think about...

Duration:00:27:58

Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307

10/10/2019
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Franziska Bell, Ph.D., is the Director of Data Science Platforms at Uber, and joined Sam on stage at TWIMLcon last week to discuss all things platform at Uber. With the goal of providing cutting edge data science company-wide at the push of a button, Fran has developed a portfolio of platforms, ranging from forecasting to anomaly detection to conversational AI. In this episode, we discuss: Through strategic use cases, Fran’s team of data scientists works closely with teams across the...

Duration:00:32:13

Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306

10/8/2019
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The live interviews from TWIMLcon continue with Hussein Mehanna, Head of Machine Learning and Artificial Intelligence at Cruise. From his start at Facebook and then Google and now to Cruise, leading the trend of autonomous vehicles, Hussein has seen first hand what it takes to scale and sustain machine learning programs. In this episode, hear him and Sam discuss: At Facebook, a few early wins in the realm of infrastructure building set the stage for scaling via faster algorithms and soon...

Duration:00:33:38

Live from TWIMLcon! Encoding Company Culture in Applied AI Systems - #305

10/4/2019
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In this episode, Sam is joined by Deepak Agarwal, VP of Engineering at LinkedIn, who graced the stage at TWIMLcon: AI Platforms for a keynote interview. In this episode Deepak shares: The incredible impact that standardizing processes and tools have on a company’s culture and overall productivity levelsInsight into the best way to increase ML ROI and how to sell ML programs to the C-Suite (two things that often go hand in hand)The Pro-ML initiative for delivering machine learning systems at...

Duration:00:32:21

Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304

10/1/2019
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Earlier today, Andrew Ng joined us onstage at TWIMLcon to share some of his immense knowledge. As the Founder and CEO of Landing AI, Co-Chairman and Co-Founder of Coursera, and founding lead of Google Brain, Andrew is no stranger to knowing what it takes for AI and machine learning to be successful. In this episode, hear about: The work that Landing AI is doing to help organizations adopt modern AIHis experiences in overcoming the challenges that large companies faceInsight into how...

Duration:00:33:58

The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303

9/27/2019
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Today we are joined by Alexandre Bayen, Director of the Institute for Transportation Studies and Professor at UC Berkeley.In this episode, we discuss Alex’s background in machine learning, his current research in mixed-autonomy traffic, and the idea of swarming in terms of the impact just a few self-driving cars can have on traffic mobility. In the AWS re:Invent conference last year, Alex presented on the future of mixed-autonomy traffic and the two major revolutions he predicts will take...

Duration:00:43:43

Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302

9/25/2019
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Today we are joined by Karim Beguir, Co-Founder and CEO of InstaDeep, a company in Tunisia, Africa focusing on building advanced decision-making systems for the enterprise. In this episode, we discuss where his and InstaDeep’s journey began in Tunisia, Africa (00:27), the challenges that enterprise companies are seeing in logistics that can be solved by deep learning and machine learning (05:43), how InstaDeep is applying DL and RL to real world problems (09:45), and what are the data sets...

Duration:00:39:43

Deep Learning with Structured Data w/ Mark Ryan - #301

9/18/2019
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Today we're joined by Mark Ryan, author of Deep Learning with Structured Data, currently in the Manning Early Access Program (MEAP), due for publication in Spring 2020. While working on the Support team at IBM Data and AI, he saw that there was a lack of general structured data sets that people could apply their models to. Using the streetcar network in his hometown of Toronto, Mark created a deep learning model to predict delays, but more importantly, gathered an open data set that was the...

Duration:00:39:28

Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300

9/17/2019
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Today we're joined by Kalai Ramea, Data Scientist at PARC, a Xerox Company. With a background in transportation, energy efficiency, art, and machine learning, Kalai has been fortunate enough to follow her passions through her work. In this episode we discuss: Her environmentally efficient pursuit that lead to the purchase of a hydrogen car, and the subsequent journey and paper that followed assessing fueling stations Kalai’s next paper, looking at fuel consumption at hydrogen stations using...

Duration:00:30:03

Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299

9/13/2019
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Today we're joined by Gregg Willcox, Director of Research and Development at Unanimous AI. Inspired by the natural phenomenon called 'swarming', which uses the collective intelligence of a group to produce more accurate results than an individual alone, ‘Swarm AI’ was born. A game-like platform that channels the convictions of individuals to come to a consensus and using a behavioral neural network trained on people’s behavior called ‘Conviction’, to further amplify the results. The...

Duration:00:42:34

Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298

9/10/2019
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Today we're joined by Gary Marcus, CEO and Founder at Robust.AI, former CEO and Founder of Geometric Intelligence (acquired by Uber) and well-known scientist, bestselling author, professor and entrepreneur. In this episode hear Gary discuss: His latest book, ‘Rebooting AI: Building Artificial Intelligence We Can Trust’, an extensive look into the current gaps, pitfalls and areas for improvement in the field of machine learning and AI A break down of the difference between reinforcement...

Duration:00:47:47

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

9/5/2019
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Today we're joined by Brian Burke, Analytics Specialist with the Stats & Information Group at ESPN. A former Navy pilot and lifelong football fan, Brian saw the correlation between fighter pilots and quarterbacks in the quick, pressure-filled decisions both roles have to make on a regular basis. In this episode, we discuss: Brian’s self-taught modeling techniques and his journey finding and handling vast amounts of sports data His findings in the paper, “DeepQB: Deep Learning with Player...

Duration:00:51:14

Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296

9/3/2019
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Today we're joined by Lotte Bransen, Scientific Researcher at SciSports. With a background in mathematics, econometrics and soccer, Lotte has honed her research on analytics of the game and its players. More specifically, using trained models to understand the impact of mental pressure on a player’s performance. In this episode, Lotte discusses: Her latest paper, ‘Choke or Shine? Quantifying Soccer Players' Abilities to Perform Under Mental Pressure’ and shares The basis of the models...

Duration:00:34:56

Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295

8/29/2019
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Today we're joined by Lukas Biewald, CEO and Co-Founder of Weights & Biases. Lukas, previously CEO and Founder of Figure Eight (CrowdFlower), has a straightforward goal: provide researchers with SaaS that is easy to install, simple to operate, and always accessible. Seeing a need for reproducibility in deep learning experiments, Lukas founded Weights & Biases. In this episode we discuss: The experiment tracking tool, how it works, and the components that make it unique in the ML...

Duration:00:43:38

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

8/26/2019
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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 gets its data from and how they taxonomize data science. • The platforms and processes that have been put into place to support delivering models in production. •The role of DevOps in bringing these various platforms together, and much more! The complete show notes can be found at...

Duration:00:49:26

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

8/22/2019
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Today we’re joined by Olivier Bachem, a research scientist at Google AI on the Brain team. Initially, Olivier joined us to discuss his work on Google’s research football project, their foray into building a novel reinforcement learning environment, but we spent a fair amount of time exploring his research in disentangled representations. Olivier and Sam also discuss what makes the football environment different than other available reinforcement learning environments like OpenAI Gym and...

Duration:00:43:28

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

8/19/2019
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Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. Tijmen is also co-founder of ML startup Scyfer, along with Qualcomm colleague Max Welling, who we spoke with back on episode 267. In our conversation with Tijmen we discuss: • The ins and outs of compression and quantization of ML models, specifically NNs, • How much models can actually be compressed, and the best way to achieve compression, • We also look...

Duration:00:51:08

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

8/15/2019
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Today we are joined by Anubhav Jain, Staff Scientist & Chemist at Lawrence Berkeley National Lab. Anubhav leads the Hacker Materials Research Group, where his research focuses on applying computing to accelerate the process of finding new materials for functional applications. With the immense amount of published scientific research out there, it can be difficult to understand how that information can be applied to future studies, let alone find a way to read it all. In this episode we...

Duration:00:39:53