Bringing AI to the physical world [ukr]
Artificial Intelligence is no longer confined to digital spaces - it is rapidly expanding into the physical world, transforming how machines perceive, move, and interact with their environments. One may say that Robotics is the next frontier for AI to solve. You will get a perspective on developing in the field from a research engineer who’s been in the field near a decade and from an ML engineer who switched to the field just two years ago.
We will talk about what Physical AI is, how it is described, advertised and what tasks it tries to solve. But also we will talk about how brittle and fragile things in the real world are and what unique challenges merging AI and robotics pose.
Oleksandr Bagan
ML Engineer at Neo Cybernetica
- ex Principal Engineer at DataRobot
- 10 years of start-up experience
- Oleksandr likes mathematics, taught at KSE
- Helps robots become smarter
- Github
Andrii Tytarenko
Research Engineer at Neo Cybernetica
- Working in machine learning and artificial intelligence since 2018
- Specializes in building high-performance systems, computer vision, and deep learning-based control algorithms
- Researches and implements AI applications in robotics — from perception models to control systems
- Teaches courses in machine learning and robotics at IASA, KPI