Generations of Yiannis Demiris academic family 😄 kind hearts and passion for doing great job! Very grateful 😊

When you shop @AmazonSmile in the UK, Amazon will make a donation to The Ai Education Foundation, that is our foundation for the M2L school! An easy way to support M2L: smile.amazon.co.uk/ch/1189058-0

New episode out! 😎This time we chat with Jean-Jacques Slotine, Director of the Nonlinear Systems Laboratory at Massachusetts Institute of Technology (MIT) and Distinguished Faculty at Google AI. We talk about his inspiring journey through nonlinear and adaptive control 🚀 complex networks 🧬optimization 📉 and ML 🤖

In case you missed it.. next M2L school is going to be in Greece!! Applications are open!!! 🎉🎉🎉

Check this out! 🤩

Plan your Summer School now: last week to apply to the M2L school in Thessaloniki, Greece - 28 August to 2 September 2023! m2lschool.org

A new #inControl episode is live!🔥 Can we control gene expressions?🧬 What does milk fever in dairy cows have to do with control theory? 🐄 Join us as we dive deep into the emerging field of #Cybergenetics with Mustafa Khammash and explore the intersection of biology and control.🔬

🚨New episode out🚨 Join us on a new control-theoretic adventure with John Doyle (Caltech) Hear about his exploits as a world-class athlete🏋🏽his adventures in the Panamanian jungle🌴and his heroic battles against the toughest control problems in the golden age of robustness!🚀

🚨 New episode! 🚨 Get ready to explore uncharted territories of control theory with John Doyle 😀 This time we discover hidden connections between bacteria, earthquakes, wildfires, and the Internet, as we discuss architectures, layers, levels, and diversity-enabled sweet spots🚀

Exciting news for #CoRL2023 Cognitive Robot Learning Workshop! Sponsored by Google DeepMind Google DeepMind; and the University of Maryland for UMD students, we now have Best Paper and Minor Group Awards. Submit by Oct 4, 2023, at yantianzha.github.io/crl.github.io/! #RobotLearning

We extended the deadline for our #CoRL2023 workshop to October 11th! For details on how to apply for awards, please visit our website at yantianzha.github.io/crl.github.io/.

How do robots learn complex movements? 🤖 In this episode, we explore with Aude Billard (EPFL) the intricacies of robot learning, imitation, human-robot interaction and the interplay between ML, dynamical systems and control for robotics 🤖🧠🤓👾 EPFL School of Engineering IEEE RAS

It’s been a privilege to be part of the DemoStart project! An incredible journey, and I’m thrilled to have been involved. Excited for the future ahead!

Great to have a fantastic robot learning close to our M2L school !!

Kicking off the week in the London office, then it’s off to CoRL! Excited to dive into robotics discussions and new ideas. #CoRL2024

Off to Vancouver for NeurIPS! 🚀 Excited for a week of AI/ML inspiration and connecting with brilliant minds. Looking forward to meeting lots of people! #NeurIPS2024

🚀 Applications are NOW OPEN for M2L school's 5th summer school! A unique chance to deepen your ML knowledge, exchange ideas with experts, connect and collaborate with peers. Apply now for September 2025! 🔥 #AI #MachineLearning #M2L

Excited to be attending ICRA in the coming days! Looking forward to connecting with the robotics community! 🤖 #ICRA2025 #Robotics

Excited to be attending #ICML2025 this week — even more special that it’s happening right here in the city I now call home, Vancouver! Looking forward to connecting with friends and colleagues and catching up on all the great work being presented.

🎙️ New episode! We travel back to 19th-century Russia to meet A. M. Lyapunov, the mathematician who gave science the language of stability. Through a life marked by devotion and tragedy, his 1892 thesis still shapes how we understand dynamics, uncertainty, and control today.