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.
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!
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.
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.
Adam and Jerod are on location at OSCON and talk with Camille Eddy about recognizing biases in AI, Jerome Hardaway about the work he’s doing to prepare veterans for jobs in software, and Abby Cobunoc Mayes about the work she’s doing at Mozilla for open science.
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.
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.
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.
In this special episode of The Changelog we’re sharing a full-length episode of our newly launched podcast called Practical AI — covering AI, Machine Learning, and Data Science. In this episode Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing 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).
We’re on location at Microsoft Build 2018 talking with Corey Sanders and Steve Guggenheimer — two Microsoft veterans focused on artificial intelligence and cloud computing. We talked about the direction and convergence of AI, ethics, cloud computing, and how the day to day lives of developers will change because of the advancements in AI.
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.
Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.
In this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.
We’re on location at Microsoft Build 2018 talking with Julia White, Corporate Vice President at Microsoft — a 17 year Microsoft veteran. We talked with Julia about her take on this “new Microsoft”, Satya Nadella’s first appearance as CEO when they revealed the first glimpse of Microsoft’s cloud offering which started with Office, the beginnings of Microsoft Azure, Azure as the world’s computer, and how every company is becoming a software company.
