300 episodes

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, deep learning, computer science, data science and more.

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Sam Charrington

    • Technology
    • 4.7, 290 Ratings

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, deep learning, computer science, data science and more.

    AI for High-Stakes Decision Making with Hima Lakkaraju - #387

    AI for High-Stakes Decision Making with Hima Lakkaraju - #387

    Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University. At CVPR, Hima was a keynote speaker at the Fair, Data-Efficient and Trusted Computer Vision Workshop, where she spoke on Understanding the Perils of Black Box Explanations. Hima talks us through her presentation, which focuses on the unreliability of explainability techniques that center perturbations, such as LIME or SHAP, as well as how attacks on these models can be carried out, and what they look like.

    • 45 min
    Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

    Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

    We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University. Pavan gave a keynote presentation at the Differential Geometry in CV and ML Workshop, speaking on Revisiting Invariants with Geometry and Deep Learning. We go in-depth on Pavan’s research on integrating physics-based principles into computer vision. We also discuss the context of the term “invariant,” and Pavan contextualizes this work in relation to Hinton’s similar Capsule Network res

    • 47 min
    Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

    Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

    Today we’re joined by Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm.

    Babak is currently focused on conditional computation, which is the main driver for today’s conversation. We dig into a few papers in great detail including one from this year’s CVPR conference, Conditional Channel Gated Networks for Task-Aware Continual Learning, covering how gates are used to drive efficiency and accuracy, while decreasing model size, how this research manifests into actual products, and more!

    • 55 min
    Machine Learning Commerce at Square with Marsal Gavalda - #384

    Machine Learning Commerce at Square with Marsal Gavalda - #384

    Today we’re joined by Marsal Gavalda, head of machine learning for the Commerce platform at Square, where he manages the development of machine learning for various tools and platforms, including marketing, appointments, and above all, risk management.

    We explore how they manage their vast portfolio of projects, and how having an ML and technology focus at the outset of the company has contributed to their success, tips and best practices for internal democratization of ML, and much more.

    • 51 min
    Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

    Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

    Today we’re joined by Jianxu Chen, a scientist at the Allen Institute for Cell Science.

    At the latest GTC conference, Jianxu presented his work on the Allen Cell Explorer Toolkit, an open-source project that allows users to do 3D segmentation of intracellular structures in fluorescence microscope images at high resolutions, making the images more accessible for data analysis. We discuss three of the major components of the toolkit: the cell image analyzer, the image generator, and the image visualizer

    • 43 min
    Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

    Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

    Today we’re joined by Andreas Madsen, an independent researcher based in Denmark. While we caught up with Andreas to discuss his ICLR spotlight paper, “Neural Arithmetic Units,” we also spend time exploring his experience as an independent researcher, discussing the difficulties of working with limited resources, the importance of finding peers to collaborate with, and tempering expectations of getting papers accepted to conferences -- something that might take a few tries to get right.

    • 30 min

Customer Reviews

4.7 out of 5
290 Ratings

290 Ratings

GusCojo ,

Awesome

Sam is probably the best host that helps his brilliant guests tell and explain a complicated idea.

9thWardOJ ,

Love this

Under rated podcast. If you are into the nuts and bolts of AI/Machine Learning this is a great and insightful companion.

Minter Dial ,

AI brought to the masses

Sam Charrington has helped bring AI to the masses with his insightful podcasts filled with great guests.

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