Lex Fridman interviews Rosalind Picard, a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica. Over two decades ago she launched the field of affective computing with her book of the same name. This book described the importance of emotion in artificial and natural intelligence, the vital role emotion communication has to relationships between people in general and in human-robot interaction.
Lex Fridman lands another top person to interview.
Gavin Miller is the Head of Adobe Research. Adobe have empowered artists, designers, and creative minds from all professions working in the digital medium for over 30 years with software such as Photoshop, Illustrator, Premiere, After Effects, InDesign, Audition that work with images, video, and audio. Adobe Research is working to define the future evolution of these products in a way that makes the life of creatives easier, automates the tedious tasks, and gives more & more time to operate in the idea space instead of pixel space. This is where the cutting-edge deep learning methods of the past decade can shine more than perhaps any other application. Gavin is the embodiment of combing tech and creativity. Outside of Adobe Research, he writes poetry & builds robots. This conversation is part of the Artificial Intelligence podcast at MIT and beyond. Audio podcast version is available on https://lexfridman.com/ai/
Lex Fridman scores the mother of all interview guests for his podcast when he sits down with Elon Musk to talk about Tesla’s Autopilot feature.
In this video, Lex Fridman interviews Kyle Vogt,, the President and CTO of Cruise Automation. Cruise Automation leading an effort in trying to solve one of the biggest robotics challenges of our time: vehicle autonomy.
He is the co-founder of 2 successful companies (Cruise and Twitch) that were each acquired for 1 billion dollars. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S094: Deep Learning for Self-Driving Cars.