The Cambridge – Tübingen PhD Fellowships program is offering funded PhD positions for 2021.
The deadline for applications is November 10, 2020.
The International Max Planck Research School for Intelligent Systems will accept its fifth generation of Ph.D. students in spring of 2021!
The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Interested applicants can find more details on how to apply here.
Experiences with a hybrid conference during the COVID-19 pandemic
Director Katherine J. Kuchenbecker and fourteen other members of the MPI-IS Haptic Intelligence (HI) Department presented twelve of their current research projects at the first-ever hybrid EuroHaptics conference. This meeting took place both physically and virtually from September 6 to 9, 2020, in Leiden, Netherlands. EuroHaptics is the primary European meeting for researchers working on haptic perception and technology. Together, the HI team presented nine work-in-progress (WIP) posters and three hands-on demonstrations, winning one award and being a finalist for another.
Katherine J. Kuchenbecker Rachael Burns Farimah Fazlollahi Maria Paola Forte Ravali Gourishetti Behnam Khojasteh Hojin Lee Hyosang Lee Saekwang Nam Cara Nunez Hasti Seifi Gokhan Serhat Neha Thomas Yasemin Vardar Eric Young
We have released the KITTI-360 dataset, a large-scale dataset with rich sensors, accurate localisations and comprehensive annotations! It aims to foster research in new important research areas relevant to the computer graphics, computer vision and robotics community.
WELT zeichnet Top-Leistungen bei Künstlicher Intelligenz aus
Der Spitzenforscher fördert und betreibt seit Jahren anwendungsnahe Spitzenforschung im Bereich der Künstlichen Intelligenz. Er ist einer der international angesehensten KI-Forscher und eine der prägendsten Persönlichkeiten der globalen Machine Learning Szene.
for our paper Learning to Identify Physical Parameters from Video Using Differentiable Physics
We received a honorable mention at this year's DAGM GCPR 2020 for our paper Learning to Identify Physical Parameters from Video Using Differentiable Physics by R. Kandukuri, J. Achterhold, M. Moeller and J. Stueckler
The Max Planck ETH Center for Learning Systems is offering funded PhD positions for 2021.
The deadline for applications is November 2, 2020.
An interdisciplinary team of scientists at the Max Planck Institutes for Intelligent Systems and Solid State Research has developed a biocompatible microswimmer made of carbon nitride, which they can propel forward through light. The particle can also store solar energy similar to miniature solar cells equipped with batteries, and can thus also swim in the dark using the stored energy. Even if the illumination is turned off, it can move forward for about half an hour with just 30 seconds of prior illumination. The photo-charging ability of this newly developed microswimmer opens up many opportunities for targeted drug delivery, environmental remediation, and other potential applications for such photo-chargeable micro- and nanomachines.