The TWIML AI Podcast (formerly This W...
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.
426
Practical Natural Language Processing with spaC...
In this episode of PyDataSci, we’re joined by Ines Montani, Cofounder of Explosion, Co-developer of SpaCy and lead developer of Prodigy. Ines and I caught up to discuss her various projects, including the aforementioned SpaCy, an open-source NLP...
47 min
427
Scaling Jupyter Notebooks with Luciano Resende ...
Today we kick off PyDataSci with Luciano Resende, an Open Source AI Platform Architect at IBM and part of the Center for Open Source Data and AI Technology. Luciano and I caught up to discuss his work on Jupyter Enterprise Gateway, a scalable way to...
32 min
428
Fighting Fake News and Deep Fakes with Machine ...
Today we’re joined by Delip Rao, vice president of research at the AI Foundation, co-author of the book Natural Language Processing with PyTorch, and creator of the Fake News Challenge. Our conversation begins with the origin story of the Fake News...
58 min
429
Maintaining Human Control of Artificial Intelli...
Today we’re joined by Joanna Bryson, Reader at the University of Bath. I was fortunate to catch up with Joanna at the AI Conference where she presented on “Maintaining Human Control of Artificial Intelligence,“ focusing on technological and...
37 min
430
Intelligent Infrastructure Management with Pank...
Today we kick off our AI conference NY series with Pankaj Goyal, VP for AI & HPC product management at HPE, and Rochna Dhand, director of product management for HPE InfoSight. Today we get things kicked off with Pankaj Goyal, VP for AI & HPC...
43 min
431
Organizing for Successful Data Science at Stitc...
For the final episode of our Strata Data series, we’re joined by Eric Colson, Chief Algorithms Officer at Stitch Fix, whose presentation at the conference explored “How to make fewer bad decisions.” Our discussion focuses in on the three key...
51 min
432
End-to-End Data Science to Drive Business Decis...
In this episode of our Strata Data conference series, we’re joined by Burcu Baran, Senior Data Scientist at LinkedIn. At Strata, Burcu, along with a few members of her team, delivered the presentation “Using the full spectrum of data science to...
47 min
433
Learning with Limited Labeled Data with Shiouli...
Today, in the first episode of our Strata Data conference series, we’re joined by Shioulin Sam, Research Engineer with Cloudera Fast Forward Labs. Shioulin and I caught up to discuss the newest report to come out of CFFL, “Learning with Limited...
43 min
434
cuDF, cuML & RAPIDS: GPU Accelerated Data Scien...
Today we're joined by Paul Mahler, senior data scientist and technical product manager for machine learning at NVIDIA. In our conversation, Paul and I discuss NVIDIA's RAPIDS open source project, which aims to bring GPU acceleration to traditional...
37 min
435
Edge AI for Smart Manufacturing with Trista Che...
Today we’re joined by Trista Chen, chief scientist of machine learning at Inventec. At GTC, Trista spoke on “Edge AI in Smart Manufacturing: Defect Detection and Beyond.” In our conversation, we discuss a few of the challenges that Industry 4.0...
37 min
436
Machine Learning for Security and Security for ...
Today we’re joined by Nicole Nichols, a senior research scientist at the Pacific Northwest National Lab. Nicole joined me to discuss her recent presentation at GTC, which was titled “Machine Learning for Security, and Security for Machine...
40 min
437
Domain Adaptation and Generative Models for Sin...
Today we’re joined by Gerald Quon, assistant professor in the Molecular and Cellular Biology department at UC Davis. Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores...
31 min
438
Mapping Dark Matter with Bayesian Neural Networ...
You might have seen the news yesterday that MIT researcher Katie Bouman produced the first image of a black hole. What’s been less reported is that the algorithm she developed to accomplish this is based on machine learning. Machine learning is...
33 min
439
Deep Learning for Population Genetic Inference ...
Today we’re joined by Dan Schrider, assistant professor in the department of genetics at The University of North Carolina at Chapel Hill. My discussion with Dan starts with an overview of population genomics and from there digs into his application...
48 min
440
Empathy in AI with Rob Walker - TWiML Talk #248
Today we’re joined by Rob Walker, Vice President of Decision Management at Pegasystems. Rob joined us back in to discuss “Hyperpersonalizing the customer experience.” Today, he’s back for a discussion about the role of empathy in AI systems....
39 min
441
Benchmarking Custom Computer Vision Services at...
Today we’re joined by Tom Szumowski, Data Scientist at URBN, the parent company of Urban Outfitters, Anthropologie, and other consumer fashion brands. Tom and I caught up recently to discuss his project “Exploring Custom Vision Services for...
49 min
442
Pragmatic Quantum Machine Learning with Peter W...
Today we’re joined by Peter Wittek, Assistant Professor at the University of Toronto working on quantum-enhanced machine learning and the application of high-performance learning algorithms in quantum physics. Peter and I caught up back in November...
64 min
443
*Bonus Episode* A Quantum Machine Learning Algo...
In this special bonus episode of the podcast, I’m joined by Ewin Tang, a PhD student in the Theoretical Computer Science group at the University of Washington. In our conversation, Ewin and I dig into her paper “A quantum-inspired classical...
39 min
444
Supporting TensorFlow at Airbnb with Alfredo Lu...
This interview features my conversation with Alfredo Luque, a software engineer on the machine infrastructure team at Airbnb. If you’re among the many TWiML fans interested in AI Platforms and ML infrastructure, you probably remember my interview...
39 min
445
Mining the Vatican Secret Archives with TensorF...
Today we’re joined by Elena Nieddu, PhD Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit. In our conversation, Elena provides an overview of the project, which aims to annotate and transcribe...
42 min
446
Exploring TensorFlow 2.0 with Paige Bailey - TW...
Today we're joined by Paige Bailey, a TensorFlow developer advocate at Google to discuss the TensorFlow 2.0 alpha release. Paige and I sat down to talk through the latest TensorFlow updates, and we cover a lot of ground, including the evolution of the...
38 min
447
Privacy-Preserving Decentralized Data Science w...
Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project. OpenMined is an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving,...
32 min
448
The Unreasonable Effectiveness of the Forget Ga...
Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University. Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological data for various tasks. In our conversation, we...
31 min
449
Building a Recommendation Agent for The North F...
Today we’re joined by Andrew Guldman, VP of Product Engineering and Research and Development at Fluid. Andrew and I caught up a while back to discuss Fluid XPS, a user experience built to help the casual shopper decide on the best product choices...
46 min
450
Active Learning for Materials Design with Kevin...
Today we’re joined by Kevin Tran, PhD student in the department of chemical engineering at Carnegie Mellon University. Kevin’s research focuses on creating and using automated, active learning workflows to perform density functional theory, or...
32 min