practical ai podcast

practical ai podcast

So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation. We’ve been wanting to make this one happen ... Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. They also discuss the “state of AI” at the end of 2019, and ... We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? The focus is on productive implementations and real-world scenarios that are accessible to everyone. Expanding AI technology to the local languages of emerging markets presents huge challenges. Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set. This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Daniel and Chris do a deep dive into The AI Index 2019 Annual Report, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a ... DevOps for deep learning is well… different. He sheds light on how enterprises are utilizing AI and supporting AI-driven applications in the Cloud. (GIVEAWAY!). 08/30/20. About Podcast Eye on A.I. Android Backstage, a podcast by and for Android developers. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set. Costas Boulis from Bright Machines joins us to talk about how they are using AI in various manufacturing processes and ... Chris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). We’ll connect with some of the world’s leading experts in AI, deep learning and machine learning to explain how it works, how it’s evolving and how it intersects with every facet of human endeavor, from art to … Copyright © 2020 Apple Inc. All rights reserved. The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. Weekly interviews with engineers, educators, and enthusiasts. Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. The podcast is thought-provoking and addresses many interesting questions, like how jobs will be affecting by AI and how smaller businesses can participate in AI. But how did Anaconda get started and what are they working on now? Weights & Biases is coming up with some awesome developer tools for AI practitioners! Is it worth it in terms of money, effort, and maintenance? Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine … We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the … Jakub Langr and Vladimir Bok join us for a deep dive into GANs and ... Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets. I’ve just begun my journey into researching machine learning and AI more widely, and Practical AI has been a light in the dark! Among those are Timo from Deepset-AI and Tony from Intel. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine … Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. Our own Daniel Whitenack ... Daniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you! Eye On A.I. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust. Anna and Azalia also describe the use of graph convolutional neural networks in their approach. Don’t miss this episode packed with hard-won wisdom! However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Is it worth it in terms of money, effort, and maintenance? A casual conversation concerning causal inference, Killer developer tools for machine learning, When data leakage turns into a flood of trouble, Building the world's most popular data science platform, All things transformers with Hugging Face, MLOps and tracking experiments with Allegro AI, AI for Good: clean water access in Africa, Exploring the COVID-19 Open Research Dataset, Achieving provably beneficial, human-compatible AI. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality. Can’t wait for the next episode. Expect in-depth interviews with the best and brightest in software engineering, open source, and leadership. We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). Stuart is the author of Human Compatible, and the upcoming 4th edition of his perennial classic Artificial Intelligence: A Modern Approach, which is widely regarded as the standard text on AI. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!

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