Brandon Rohrer explains back propagation using plumbing.
Lex Fridman sits down with Colin Angle, the CEO and co-founder of iRobot.
iRobot is robotics company that for 29 years has been creating robots that operate successfully in the real world, not as a demo or on a scale of dozens, but on a scale of thousands and millions.
As of this year, iRobot has sold more than 25 million robots to consumers, including the Roomba vacuum cleaning robot, the Braava floor mopping robot, and soon the Terra lawn mowing robot. 25 million robots successfully operating autonomously in people’s homes to me is an incredible accomplishment of science, engineering, logistics, and all kinds of entrepreneurial innovation.
Two Minute Papers explores the paper “Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors” in this video.
Artificial Intelligence and Machine Learning are the latest in a long line of tech-worthy buzzwords.
Given the hype, it is often difficult to separate the technology from the marketing. Entrepreneurs need to understand what the technology actually does and the problems it solves.
In this talk by Seth Juarez, learn how AI and ML work, the kinds of problems it solves, and what the implications of its use are for your startup.
Armed with this practical knowledge, you’ll be able to make better decisions about where to start and how you can use machine learning and AI in your businesses.
For more information head over to https://aka.ms/aidevresources
We are in the midst of transforming every industry.
Here’s a great overview (from an financial angle) on how AI is transforming the food processing industry.
Food processing is a complex industry, encompassing everything, from sorting raw materials, following the right production process, maintaining machinery to ensuring that the final product is on par with standards. But now, food processing can be easily monitored by AI-powered applications that not only do what humans do but […]
In this interview on the Microsoft Research Podcast, Dr. Brian Broll gives us an overview of the work he did and the experience he had as a Microsoft AI Resident, talks about his passion for making complex concepts easier and more accessible to novices and young learners, and tells us how growing up on a dairy farm in rural Minnesota helped prepare him for a life in computer science solving some of the toughest problems in AI.
This is the trailer for a 12 part docuseries called “AI for Humans” that the one and only Siraj Raval has been working on.
Artificial Intelligence is the most remarkable technology of our time, and it’s starting to affect every single aspect of our lives. Despite it’s massive impact, there is still so much misunderstanding about what it is, how it works, and what we can use it to do. In this series, I’ll be traveling around the world to meet extraordinary individuals using AI to empower their communities. In each episode, I’ll visit a different country to learn more about the intersection of their needs and the modern solutions that AI provides them. This is my pitch to Netflix, I’d love their help to bring AI awareness & inspiration to an even broader audience.
Tweet @netflix with a link to this video and the hashtag #AIforHumans to let them know that you’d like to see this show!
Two Minute Papers explores the paper “MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies” in this video.
Vijay Kumar is one of the top roboticists in the world, professor at the University of Pennsylvania, Dean of Penn Engineering, former director of GRASP lab, or the General Robotics, Automation, Sensing and Perception Laboratory at Penn that was established back in 1979, 40 years ago.
Vijay is perhaps best known for his work in multi-robot systems (or robot swarms) and micro aerial vehicles, robots that elegantly cooperate in flight under all the uncertainty and challenges that real-world conditions present.
This conversation is part of the Artificial Intelligence podcast run by Lex Fridman.
Jon Wood has created another video showing how to use ML.NET and the (currently) preview version of 1.4 to create a deep neural network model to classify images.