In this episode, Audrow Nash speaks to Dan Mantz, who is the CEO of the Robotics Education and Competition (REC) Foundation. The REC Foundation is a nonprofit that works with VEX Robotics to build int...
In this episode, Audrow Nash speaks to Maria Telleria, who is a co-founder and the CTO of Canvas. Canvas makes a drywall finishing robot and is based in the Bay Area. In this interview, Maria talks ab...
In this episode, Audrow Nash speaks to Dan O'Mara, who is the founder and COO of Circuit Launch and Mechlabs. Circuit Launch is a space for hardware entrepreneurs to work in Oakland, California, and M...
In this episode, Audrow Nash speaks to Afreez Gan, who is the founder and CEO of MangDang; MangDang is a Chinese startup that makes Minipupper, an open source robot dog that uses the Robot Operating S...
In this episode, Audrow Nash speaks to Dayo McIntosh, who is the founder of Yateou; Yateou is an early-stage startup that makes wellness products and has a customer facing robot, ADE, that personalize...
In this episode, Audrow Nash speaks to Helen Greiner, CEO at Tertill, which makes a small solar powered weeding robot for vegetable gardens. The conversation begins with an overview of Helen's previou...
In this episode, Audrow Nash speaks to Christian Fritz, CEO and founder of Transitive Robotics. Transitive Robotics makes software for building full stack robotics applications. In this conversation, ...
In this episode, Audrow Nash speaks to Tim Chung, Program Manager in the Tactical Technology Office at the Defense Advanced Research Projects Agency (DARPA), on the DARPA Subterranean (SubT) Challenge...
In this episode, Audrow Nash speaks to Steve Macenski, who is the Open Source Robotics Engineering Lead at Samsung Research America. Steve leads the Nav2 project, which is an open source robot navigat...
In this episode, Audrow Nash speaks to Matt Robinson, Program Manager for ROS-Industrial Americas at the Southwest Research Institute. ROS Industrial is a group that seeks to help industrial users, fo...
In this episode, Audrow Nash speaks to Charles Brian Quinn (aka, CBQ), CEO and a Co-Founder of Greenzie. Greenzie make an autonomous driving system for commercial lawn mowers. We talk about Greenzie's...
In this episode, Audrow Nash interviews Brett Aldrich, author of SMACC and CEO of Robosoft AI. Robosoft AI develops and maintains SMACC and SMACC2, which are event-driven, behavior state machine libra...
In this episode, Audrow Nash speaks to Youssef Benmokhtar, CEO of GelSight, a Boston-based company that makes high resolution tactile sensors for several industries. They talk about how GelSight's tac...
In this episode, Audrow Nash speaks to Jason Richards, CEO at DaxBot. DaxBot makes a charismatic robot for food delivery. Jason speaks on their delivery robot, their crowdfunding campaign, DaxBot’s ...
In this episode, Audrow Nash speaks to Tobias Holmes, Quality Assurance Manager at Blue River Technologies. Blue River uses computer vision and robotics in agriculture and was acquired by John Deere i...
In this episode, Audrow Nash interviews Erik Schluntz, co-founder and CTO of Cobalt Robotics, which makes a security guard robot. Erik speaks about how their robot handles elevators, how they have hum...
In this episode, Audrow Nash speaks with Melonee Wise, former CEO of Fetch Robotics and current VP of Robotics Automation at Zebra Technologies. Melonee speaks about the origin of Fetch Robotics, her ...
In this episode, Audrow Nash interviews Adrian Macneil, Co-founder and CEO of Foxglove. Foxglove makes Foxglove Studio, an open source visualization and debugging tool for robotics. Adrian speaks abou...
In this episode, Audrow Nash interviews Dave Coleman, Chief Executive Officer at PickNik Robotics. Dave speaks at a high level about what MoveIt is and what problems it helps roboticists solve, they t...
In this episode, Audrow Nash interviews Ryan Gariepy, Chief Technology Officer of both Clearpath Robotics and OTTO Motors. Ryan speaks about the origin of Clearpath, how Clearpath focuses on making re...
While modern cameras provide machines with a very well-developed sense of vision, robots still lack such a comprehensive solution for their sense of touch. At ETH Zurich, in the group led by Prof. Raf...
In episode nine of season three we chat about the difference between models and algorithms, take a listener question about summer schools and learning in person as opposed to learning digitally, and w...
In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine learn...
In episode seven of season three we take a minute to break way from our regular format and feature a conversation with Dina Machuve of the Nelson Mandela African Institute of Science and Technology. W...
In episode five of season three we compare and contrast AI and data science, take a listener question about getting started in machine learning, and listen to an interview with Joaquin Quiñonero Cand...
In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (and how how we can think about it in our daily lives). Plus, we answer a listener question about how t...
In episode three, season three of Talking Machines, we dive into overfitting, take a listener question about unbalanced data and speak with Professor (Emeritus) Tom Dietterich from Oregon State Univer...
In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It's more about context than you think!) and hear an interview with Jennifer Chay...
Talking Machines is entering its third season and going through some changes. Our founding host Ryan is moving on and in his place, Neil Lawrence of Amazon is taking over as co-host. We say thank you ...
We're beginning to see more and more jobs being performed by machines, even creative tasks like writing music or painting can now be carried out by a computer.
But how and when will machines be abl...
In episode seventeen of season two, we get an introduction to Min Hashing, talk with Frank Wood the creator of ANGLICAN, about probabilistic programming and his new company, INVREA, and take a listene...
In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, take a listener question about tuning hyperparameters, plus, speak with Eric Lander of the Broad Institute....
In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, take a listener question about unbalanced data, plus, speak with Doug Eck of Google’s Magenta project....
In episode fourteen of season two, we discuss Perturb-and-MAP and answer a listener question about classic artificial intelligence ideas being used in modern machine learning. Plus, we speak with Ja...
In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE), take a listener question about statistical physics, plus, speak with Hal Daume of the University ...
In episode twelve of season two, we discuss generative adversarial networks, take a listener question about using machine learning to improve or create products, and lastly, speak with Iain Murray fro...