I’m the CEO of 3DR, founder of the Linux Foundation’s Dronecode Project, and founder of the DIY Drones and DIY Robocars communities, including the ArduPilot autopilot project. From 2001 through 2012 I was the Editor in Chief of Wired Magazine. Before Wired I was with The Economist for seven years in London, Hong Kong and New York.
I’m the author of the New York Times bestselling books The Long Tail and Free as well as Makers: The New Industrial Revolution.
Awards include: Editor of the Year by Ad Age (2005). Named to the “Time 100,” the newsmagazine’s list of the 100 most influential people in the world (2007). Loeb Award for Business Book of the Year (2007). Wired named Magazine of the Decade by AdWeek for my tenure (2009). Time Magazine’s Tech 40 — The Most Influential Minds In Technology (2013). Foreign Policy Magazine’s Top 100 Global Thinkers (2013)
I founded GeekDad, BookTour and a few other companies now lost in the mists of time.
My background is in science, starting with studying computational physics and doing research at Los Alamos and culminating in six years at the two leading scientific journals, Nature and Science.
In my misspent youth I was a bit player in the DC punk scene and, amusingly, a band called REM (not that one).
I live in Berkeley, California, with my wife and five kids.
November 17, 2020 04:00 PM PT
Dr. Kira Radinsky
Chairwoman & CTO , Diagnostic Robotics
How do we predict future events, such as pandemics, and also make personalized predictions in healthcare?
Dr. Radinsky talks about gathering data on 150 years of news articles, billions of tweets and millions of web searches and using that data to extract causality. She then combines this data with correlation infrastructure to predict events like a Cholera outbreak in Cuba.
While this method has been successful at preparing for disaster, Kira has more recently focused on automated triaging in the primary care system for standard medical conditions, until COVID-19 broke out. Her work now focuses on predicting COVID-19 in certain geographies and flattening the curve by increasing the supply of testing services in those areas.
CEO, 3DR, Founder DIYRobocars and DIYDrones
For a century the car industry has used racing to drive innovation. But with self-driving cars, it's not happening. Companies are more concerned about embarrassing and expensive failures than speed and nimbleness, so much so that the biggest risk of robocars on the roads is slowing and blocking traffic. Fortunately, we don't have to wait for the big robocar makers to put their pedal to the metal -- we can do it ourselves. Ten years ago, I helped kickstart the modern drone industry by adding the letters "DIY" to what was until then the sole domain of governments and aerospace companies, and today we have millions of DIY drones in the air. Now the same thing is happening with autonomous cars, where for less than $400 you can make your own small autonomous car that uses the same kinds of sensors and AI code as the full-size one, but can be used safely indoors.
In this talk I'll talk about how DIY Robocars cars and races work, including edge AI, simulation, computer vision and various deep learning training techniques that have allowed us to beat the fastest humans at this scale.