The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
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.
Episodes
Mentioned books
Mar 18, 2019 • 32min
The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240
Jos Van Der Westhuizen, a PhD student at Cambridge University, discusses his immersive journey from biomedical engineering to machine learning. He dives into the importance of the forget gate in LSTMs, revealing how it boosts computational efficiency. The conversation also covers his innovative architecture, Janet, which combines attention mechanisms with LSTMs. Jos emphasizes selective learning and how managing what to forget is key in optimizing neural networks. Tune in to hear about the future of simpler, more efficient neural network designs!
Mar 14, 2019 • 48min
Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239
Andrew Guldman, VP of Product Engineering and R&D at Fluid, shares insights into creating AI-driven user experiences for online retail. He discusses the innovative Fluid XPS, developed for The North Face to simplify outdoor gear selection for casual shoppers. Guldman delves into using advanced algorithms and graph databases, the challenges of keeping pace with evolving AI, and the balance between programming and flexibility. His anecdotes highlight the importance of emotional connections in product recommendations, making tech more human-centered.
Mar 11, 2019 • 34min
Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
In this insightful talk, Kevin Tran, a PhD student in Chemical Engineering at Carnegie Mellon University, shares his expertise on the intersection of machine learning and renewable energy fuel cells. He discusses the challenges in creating effective electrocatalysts for CO2 reduction and H2 evolution. Kevin dives into the role of active learning in materials design, highlighting its iterative nature and reliance on quantum mechanics-based simulations. He also examines how advanced methodologies, like Bayesian statistics and neural networks, improve predictive accuracy in catalyst performance.
Mar 7, 2019 • 42min
Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
Aydogan Ozcan, a UCLA professor specializing in electrical and computer engineering, discusses pioneering research at the intersection of deep learning and optics. He explains the concept of all-optical neural networks that mimic neuron behavior through diffraction. The conversation dives into practical applications such as enhanced biomedical imaging and environmental monitoring. Ozcan also highlights the role of 3D printing in reducing costs and dimensions of optical networks, showcasing the possibilities for future innovations in defense and security.
Mar 4, 2019 • 46min
Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236
Today we’re joined by Hema Raghavan and Scott Meyer of LinkedIn to discuss the graph database and machine learning systems that power LinkedIn features such as “People You May Know” and second-degree connections. Hema shares her insight into the motivations for LinkedIn’s use of graph-based models and some of the challenges surrounding using graphical models at LinkedIn’s scale, while Scott details his work on the software used at the company to support its biggest graph databases.
Mar 1, 2019 • 54min
Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235
Today we conclude our Black in AI series with Sicelukwanda Zwane, a masters student at the University of Witwatersrand and graduate research assistant at the CSIR, who presented on “Safer Exploration in Deep Reinforcement Learning using Action Priors” at the workshop. In our conversation, we discuss what “safer exploration” means in this sense, the difference between this work and other techniques like imitation learning, and how this fits in with the goal of “lifelong learning.”
Feb 25, 2019 • 1h 5min
Dissecting the Controversy around OpenAI's New Language Model - TWiML Talk #234
In the inaugural TWiML Live, Sam Charrington is joined by Amanda Askell (OpenAI), Anima Anandkumar (NVIDIA/CalTech), Miles Brundage (OpenAI), Robert Munro (Lilt), and Stephen Merity to discuss the controversial recent release of the OpenAI GPT-2 Language Model.
We cover the basics like what language models are and why they’re important, and why this announcement caused such a stir, and dig deep into why the lack of a full release of the model raised concerns for so many.
Feb 22, 2019 • 47min
Human-Centered Design with Mira Lane - TWiML Talk #233
Today we present the final episode in our AI for the Benefit of Society series, in which we’re joined by Mira Lane, Partner Director for Ethics and Society at Microsoft.
Mira and I focus our conversation on the role of culture and human-centered design in AI. We discuss how Mira defines human-centered design, its connections to culture and responsible innovation, and how these ideas can be scalably implemented across large engineering organizations.
Feb 18, 2019 • 49min
Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232
Hanna Wallach, Principal Researcher at Microsoft Research, discusses the impact of bias in machine learning, the challenges of deploying fair ML models, and the importance of transparency and interpretability. She highlights the need for diverse stakeholders and fair metrics in model training to address fairness challenges.
Feb 18, 2019 • 57min
AI for Healthcare with Peter Lee - TWiML Talk #231
In this episode, we’re joined by Peter Lee, Corporate Vice President at Microsoft Research responsible for the company’s healthcare initiatives. Peter and I met back at Microsoft Ignite, where he gave me some really interesting takes on AI development in China, which is linked in the show notes. This conversation centers around impact areas Peter sees for AI in healthcare, namely diagnostics and therapeutics, tools, and the future of precision medicine.
