Enjoyed listening to this episode of the new podcast w/ interviews of leaders in Robotics and AI. This one’s about the challenge of good and unbiased data for machine learning.
Second episode of The Robot Brains podcast is live now! I was lucky enough to sit down with Princeton Professor @orussakovsky and dive into many of the possible issues with the data powering AI systems and what led her to start @ai4allorg!
https://t.co/4yjG2vPWSj
Het vakblad @ComputableB heeft @bpreneel1 uitgeroepen tot 'IT Person of the Year'! 🥳
Preneel en zijn team @CosicBe worden onder andere geprezen voor hun bijdragen aan de Coronalart-app en hun onderzoek naar lekken in de beveiliging van Teslasleutels 🔐 https://t.co/I1pN2Dx5PF
@pabbeel@CovariantAI Very compelling explanation, thank you for this video. Do you enhance a physical robot's training with additional virtual training? Like fleet learning, but virtual and physical at the same time.
@LucSels John Heymans (ook faculteit bio-ingenieur) liep de 3000m en werd vorige week Belgisch kampioen! 🥇(Had ik al getweet maar de tweet was verdwenen)
Over the past month, I've been working on a device for blind and visually impaired people.
The Beep Project is a LiDAR sensor that translates distance into sound to solve the spatial perception problem that blind people encounter on a day-to-day basis.
Here's a demo: