

Practical AI
Practical AI LLC
Making artificial intelligence practical, productive & 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, GANs, MLOps, AIOps, LLMs & more).
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!
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!
Episodes
Mentioned books

Oct 15, 2018 • 44min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News from Daniel:
Introducing PyTorch across Google cloud
VentureBeat article about PyTorch v1.0
Google’s general recommended practices for AI
Deep learning made easier with transfer learning
Decision tree visualization
Anatomy of an AI system
It’s hacktoberfest!
Conference calls:
AMLD
O’Reilly AI NY
CPVR
News from Chris:
TensorFlow RoadMap, TensorFlow 2
Leave No Dark Corner
The 5 Steps To Build A Business’s Deep Learning Workflow
The Pentagon is investing $2 billion into artificial intelligence
Google Dataset Search
What do you get when you mix sugar water, 3D printing and deep learning?
Learning resources:
Udacity Machine Learning Course by GA Tech
Machine learning cheat sheets
Something missing or broken? PRs welcome!

Oct 8, 2018 • 45min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Featuring:Bill Dally – WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:
NVIDIA Research
NVIDIA Deep Learning Accelerator (NVDLA)
CUDA
AI-Powered Self-Driving Cars
Progressive GANs
Optical Flow and Deep Learning
TensorRT
Deep Learning Super Sampling
NVIDIA DGX2
NVSwitch and NVLink
NVIDIA Deep Learning Institute
Something missing or broken? PRs welcome!

Oct 1, 2018 • 33min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Featuring:Wojciech Zaremba – Website, GitHub, XDaniel Whitenack – Website, GitHub, XShow Notes:
Woj’s talk at O’Reilly AI
OpenAI
OpenAI blog
The Dota playing team of AIs from OpenAI
Microsoft Tay Chatbot
Reinforcement learning Wikipedia
Berkeley course CS294-112 on Reinforcement learning. Includes pdf notes and YouTube videos of the lectures.
Books
“Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville
“Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto
Something missing or broken? PRs welcome!

Sep 18, 2018 • 49min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days.
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Featuring:Wes Jensen – WebsitePeter Ma – WebsiteDavid Ojika – XVinay Rao – Website, XOsamah Mohammed Ali – WebsiteDaniel Whitenack – Website, GitHub, XShow Notes:
Intel AI Academy
Intel DevCloud
Movidius Neural Compute Stick
Cloud AutoML
Google’s AutoML: Cutting Through the Hype
MLPerf
OpenVino, OpenCV SDK
Something missing or broken? PRs welcome!

Sep 3, 2018 • 21min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit!
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News/Updates:
New seq2seq architecture without explicit encoder/decoder
Dancing video synthesis
O’Reilly AI SF
How AI is decommoditizing the chip industry
Johns Hopkins researchers use deep learning to combat pancreatic cancer
Artificial intelligence system designs drugs from scratch
Learning Resources:
Hands on ML books dataviz
Udemy - Complete Guide to TensorFlow for Deep Learning with Python
Books
“Hands-On Machine Learning” by Aurélien Géron
Something missing or broken? PRs welcome!

Aug 27, 2018 • 47min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit!
Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai.
Featuring:Chris DeBellis – WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:
Matterport R-CNN
Mask R-CNN paper
COCO dataset
Stanford CNN course
Stanford Deep Learning course
Facebook’s Detectron
Something missing or broken? PRs welcome!

Aug 21, 2018 • 32min
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!
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit!
Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:
The State of Machine Learning Adoption in the Enterprise
AutoKeras: The Killer of Google’s AutoML
Netron NN visualizer
What’s the Purpose of Companies in the Age of AI?
Julia 1.0
AI Nationalism
OpenAI and Dota
PyTorch Tutorials
How to Get Started in Machine Learning and Robotics
Something missing or broken? PRs welcome!

Aug 13, 2018 • 50min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Featuring:Mike Bugembe – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:
JustGiving
BJ Fogg’s Behavioral Model
Books
“Cracking The Data Code” by Mike Bugembe
Something missing or broken? PRs welcome!

Aug 6, 2018 • 29min
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.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at hired.com/practicalai.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog
Rollbar – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog.
Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:News:
RFP for National Geographic AI earth innovation
Intel - AI Interplanetary challenge
App that lets Alexa read sign language
The mythos of model interpretability
Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes
Think You Know How Disruptive Artificial Intelligence Is? Think Again.
How the Enlightenment Ends
Learning resources:
Pandas tips and tricks
Mastering vim quickly
An introduction to Gradient Descent Algorithm
Introducing capsule networks
Something missing or broken? PRs welcome!

Jul 30, 2018 • 45min
Understanding the landscape of AI techniques
Jared Lander, data science guru, discusses the landscape of AI techniques, the strengths of R language for ML/AI, and the usage of R in industries like finance and healthcare. The speakers also talk about democratizing AI and making ML accessible to developers with tools like Plumber and Algorithmia.


