Making artificial intelligence practical, productive, and accessible to everyone. 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). The focus is on productive implementations and real-world scenarios that are accessible to everyone. 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!
Similar Podcasts
Ship It! DevOps, Infra, Cloud Native
A show about getting your best ideas into the world and seeing what happens. We talk about code, ops, infrastructure, and the people that make it happen. Gerhard Lazu and friends explore all things DevOps, infra, and running apps in production. Whether you’re cloud native, Kubernetes curious, a pro SRE, or just operating a VPS… you’ll love coming along for the ride. Ship It honors the makers, the shippers, and the visionaries that see it through. Some people search for ShipIt or ShipItFM and can’t find the show, so now the strings ShipIt and ShipItFM are in our description too.
Founders Talk: Startups, CEOs, Leadership
In-depth, one-on-one conversations with founders, CEOs, and makers. The journey, lessons learned, and the struggles. Let’s do this! Host Adam Stacoviak dives deep into the trials, tribulations, successes, and failures of industry leading entrepreneurs, leaders, innovators, and visionaries.
JS Party: JavaScript, CSS, Web Development
Your weekly celebration of JavaScript and the web. This show records LIVE on Thursdays at 1pm US/Eastern time. Panelists include Jerod Santo, Feross Aboukhadijeh, Kevin Ball, Amelia Wattenberger, Nick Nisi, Divya Sasidharan, Mikeal Rogers, Chris Hiller, and Amal Hussein. Topics discussed include the web platform (Chrome, Safari, Edge, Firefox, Brave, etc), front-end frameworks (React, Ember, Angular, Vue, etc), Node.js, web animation, SVG, robotics, IoT, and much more. If JavaScript and/or the web touch your life, this show’s for you. Some people search for JSParty and can’t find the show, so now the string JSParty is in our description too.
AI's role in reprogramming immunity
Drausin Wulsin, Director of ML at Immunai, joins Daniel & Chris to talk about the role of AI in immunotherapy, and why it is proving to be the foremost approach in fighting cancer, autoimmune disease, and infectious diseases. The large amount of high dimensional biological data that is available today, combined with advanced machine learning techniques, creates unique opportunities to push the boundaries of what is possible in biology. To that end, Immunai has built the largest immune database called AMICA that contains tens of millions of cells. The company uses cutting-edge transfer learning techniques to transfer knowledge across different cell types, studies, and even species.
Machine learning in your database
While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss!
Digital humans & detecting emotions
Could we create a digital human that processes data in a variety of modalities and detects emotions? Well, that’s exactly what NTT DATA Services is trying to do, and, in this episode, Theresa Kushner joins us to talk about their motivations, use cases, current systems, progress, and related ethical issues.
Generalist models & Iceman's voice
In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie).
🤗 The AI community building the future
Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you!
Active learning & endangered languages
Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.
Learning the language of life
AI is discovering new drugs. Sound like science fiction? Not at Absci! Sean and Joshua join us to discuss their AI-driven pipeline for drug discovery. We discuss the tech along with how it might change how we think about healthcare at the most fundamental level.
MLOps is NOT Real
We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.
🌍 AI in Africa - Agriculture
In the fourth “AI in Africa” spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a great discussion about ending poverty, hunger, and inequality in Africa via AI innovation. The discussion touches on open data, relevant models, ethics, and more.
Quick, beautiful web UIs for ML apps
Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on models.
It's been a BIG week in AI news 🗞
This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode!
"Foundation" models
The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report On the Opportunities and Risks of Foundation Models. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report.
Clothing AI in a data fabric
What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light.
Creating a culture of innovation
Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers.
Deploying models (to tractors 🚜)
Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.