Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We’ll also be posting a weekly calendar of upcoming robotics events for the next few months; here’s what we have so far (send us your events!): ICRA 2020 – May 31-August 31, 2020 – [Virtual Conference] RSS 2020 – July 12-16, 2020 – [Virtual Conference] CLAWAR 2020 – August 24-26, 2020 – [Virtual Conference] ICUAS 2020 – September 1-4, 2020 – Athens, Greece ICRES 2020 – September 28-29, 2020 – Taipei, Taiwan ICSR 2020 – November 14-16, 2020 – Golden, Colorado Let us know if you have suggestions for next week, and enjoy today’s videos.
Cynthia Breazeal has been promoted to full professor and named associate director of the Media Lab, joining the two other associate directors: Hiroshi Ishii and Andrew Lippman. Both appointments are effective July 1. In her new associate director role, Breazeal will work with lab faculty and researchers to develop new strategic research initiatives. She will also play a key role in exploring new funding mechanisms to support broad Media Lab needs, including multi-faculty research efforts, collaborations with other labs and departments across the MIT campus, and experimental executive education opportunities. “I am excited that Cynthia will be applying her tremendous energy, creativity, and intellect to rally the community in defining new opportunities for funding and research directions,” says Pattie Maes, chair of the lab’s executive committee. “As a first step, she has already organized a series of informal charrettes, where all members of the lab community can participate in brainstorming Continue reading Cynthia Breazeal named Media Lab associate director
Illustration: James Provost When opportunity knocks, open the door: No one has taken heed of that adage like Nvidia, which has transformed itself from a company focused on catering to the needs of video gamers to one at the heart of the artificial-intelligence revolution. In 2001, no one predicted that the same processor architecture developed to draw realistic explosions in 3D would be just the thing to power a renaissance in deep learning. But when Nvidia realized that academics were gobbling up its graphics cards, it responded, supporting researchers with the launch of the CUDA parallel computing software framework in 2006. Since then, Nvidia has been a big player in the world of high-end embedded AI applications, where teams of highly trained (and paid) engineers have used its hardware for things like autonomous vehicles. Now the company claims to be making it easy for even hobbyists to use embedded machine learning, Continue reading Quickly Embed AI Into Your Projects With Nvidia’s Jetson Nano
An important aspect of treating patients with conditions like diabetes and heart disease is helping them stay healthy outside of the hospital — before they to return to the doctor’s office with further complications. But reaching the most vulnerable patients at the right time often has more to do with probabilities than clinical assessments. Artificial intelligence (AI) has the potential to help clinicians tackle these types of problems, by analyzing large datasets to identify the patients that would benefit most from preventative measures. However, leveraging AI has often required health care organizations to hire their own data scientists or settle for one-size-fits-all solutions that aren’t optimized for their patients. Now the startup ClosedLoop.ai is helping health care organizations tap into the power of AI with a flexible analytics solution that lets hospitals quickly plug their data into machine learning models and get actionable results. The platform is being used to Continue reading Bringing the predictive power of artificial intelligence to health care