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.
Changelog Master Feed
Your one-stop shop for all Changelog podcasts. Weekly shows about software development, developer culture, open source, building startups, artificial intelligence, shipping code to production, and the people involved. Yes, we focus on the people. Everything else is an implementation detail.
The Changelog: Software Development, Open Source
Conversations with the hackers, leaders, and innovators of the software world. Hosts Adam Stacoviak and Jerod Santo face their imposter syndrome so you don’t have to. Expect in-depth interviews with the best and brightest in software engineering, open source, and leadership. This is a polyglot podcast. All programming languages, platforms, and communities are welcome. Open source moves fast. Keep up.
Fighting bias in AI (and in hiring)
Lindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fairness in models and data.
PyTorch 1.0 vs TensorFlow 2.0
Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.
Artificial intelligence at NVIDIA
NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.
OpenAI, reinforcement learning, robots, safety
We met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI.
Answering recent AI questions from Quora
An amazing panel of AI innovators joined us at the O’Reilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware.
AI in healthcare, synthesizing dance moves, hardware acceleration
Chris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.
Robot Perception and Mask R-CNN
Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.
Open source tools, AI for Dota, and enterprise ML adoption
This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!
Behavioral economics and AI-driven decision making
Mike Bugembe teaches us how to build a culture of data-driven decision making within a company, leverage behavioral economics, and identify high value use cases for AI.
Eye tracking, Henry Kissinger on AI, Vim
Chris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms.
Understanding the landscape of AI techniques
Jared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI.
Government use of facial recognition and AI at Google
In this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up.
Detecting planets with deep learning
Andrew Vanderburg of UT Austin and Christ Shallue of Google Brain join us to talk about their deep learning collaboration, which involved searching through a crazy amount of space imagery to find new planets.
Data management, regulation, the future of AI
Matthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).
Helping African farmers with TensorFlow
Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.