Raj discusses how to use activation ... Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. This enabled African governments ... Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums: What do you think is the next big thing? 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. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust. Good data is scarce or non-existent. Well, generative synthesis tackles similar problems from a different angle and results in compact, ... 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. Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. How does one start developing an AI-enabled business solution. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Expect in-depth interviews with the best and brightest in software engineering, open source, and leadership. Many people are excited about creating usable speech technology. Then once built, what’s the best way to utilize it? Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality. 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. But it’s also a bit of a mystery – even to those who know it best. Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. Making artificial intelligence practical, productive, and accessible to everyone. The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. Reinforcement Learning for search. Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. Tristan Harris and Aza Raskin, The Center for Humane Technology, All-In with Chamath, Jason, Sacks & Friedberg, AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion, Machine Learning – Software Engineering Daily, Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. Weights & Biases is coming up with some awesome developer tools for AI practitioners! Then once built, what’s the best way to utilize it? He also shares his vision for the future of machine... Track your ranks and reviews from iTunes, Stitcher and more. But how did Anaconda get started and what are they working on now? How does one start developing an AI-enabled business solution? They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets. However, they are also starting to be extremely practical and be used to develop solutions to real problems. She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis. After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. 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! 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 Learning, Deep Learning, Neural Networks, etc).

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