Research
Academic Collaborations
We believe that we can achieve more together. In the spirit of open collaboration, we are committed to foster scientific exchange and promote publication.
Open collaboration with academia has been an integral part of our identity for a long time. By collaborating with a number of international universities as well as partners from politics, business, and science, we, together with our partners, work to solve today's most challenging AI problems.
More information below
- University of Freiburg
- TU Wien
- Carnegie Mellon University
- University of Tübingen
AutoML Lab - University of Freiburg
The AutoML Lab led by Prof. Frank Hutter is a joint research lab established by the University of Freiburg and Bosch in order to strenghten joint research and information exchange in fundamentals of Machine Learning. The partnership focuses on the development of Bosch-relevant methods to support the application of AutoML-based solutions in Bosch manufacturing.
- Start: December 2018
- Location: Freiburg, Germany
- Business applications: AutoML
- Research topics: Multifidelity Optimization, Neural Architecture Search, Meta-learning, AutoML for classical ML and AutoML for Reinforcement Learning.
Collaboration partner
Prof. Frank Hutter is the Head of the Machine Learning Lab at the University of Freiburg. He is also a consultant at the Bosch Center for AI (BCAI) as Chief Expert for AutoML.
His research focuses on various problems in the fields of AutoML and Deep Learning, including Meta-learning, learning to learn, neural architecture search, efficient hyperparameter optimization, and Bayesian optimization.
TU Wien
Researchers at TU Wien and BCAI researchers work together on declarative problem solving for combinatorial problems, as well as combinations of symbolic and machine learning-driven AI. The partnership aims at joint research and information exchange as well as the transfer of applications in existing projects at Bosch.
- Start: January 2020
- Location: Vienna, Austria
- Business applications: Scheduling and planning in manufacturing
- Research topics: Advanced context-based reasoning for knowledge-enhanced combinatorial problems in Bosch manufacturing
Collaboration partner
Ass. Prof. Dr. Nysret Musliu is the Head of the Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling at the TU Wien.
His research interest include problem solving and search in Artificial Intelligence, exact and heuristic methods, Machine Learning and optimization, constraint satisfaction, automated scheduling and timetabling.
Collaboration partner
Prof. Dr. Thomas Eiter is a Professor of Computer Science at TU Wien, Austria, where he leads the Knowledge-Based Systems Group. He is also the Head of the Institute of Logic and Computation.
In 2020, he was named an ACM Fellow for contributions to knowledge representation and reasoning, logic programming, and declarative problem solving.
Carnegie Mellon University
Researchers of CMU and Bosch work together in order to conduct cutting-edge research in the field of robust Deep Learning. The goal is to provide better understanding and performance complementing the Bosch research portfolio in robust, safe, and explainable AI.
- Start: April 2018
- Location: Pittsburgh, USA
- Business applications: Automated driving, optical inspection, manufacturing
- Research topics: Robust Deep Learning, fundamentals of Deep Learning, Hybrid Modelling, etc.
Bosch Industry on Campus at University of Tübingen
Bosch established two „Industry on Campus“ professorships at the University of Tübingen. With that, the university is able to integrate experts from the industrial environment into academic research and education on site. The two Bosch IoC research groups work on Data-Efficient Deep Learning for perception and Robotic Automation. The focus of this partnership lies on producing world class AI research and exchanging knowledge with our local academic partner.
- Start: November 2018
- Location: Tübingen, Germany
- Business applications: Automated driving, manufacturing, robotics
- Research topics: Generative Modeling, Unsupervised and Few-shot Learning, Reinforcement Learning for robotics and planning
- SIRIUS Reserach Center
- Cyber Valley
- University of Tsinghua
- Delta Lab – University of Amsterdam
SIRIUS Research Center
SIRIUS is a Norwegian center of research excellence and a hub for academic-industrial collaboration with the focus on AI for industrial digitalization and automation. As a SIRIUS member, BCAI strengthens its research and industrial network and participates in mutually beneficial information exchange.
- Start: January 2020
- Location: Oslo, Norway
- Business applications: Factory automation, knowledge analytics
- Research topics: KRR, Semantic Technologies, Digital Twins, Knowledge Graphs, Ontologies
Collaboration partners
University of Oslo, University of Oxford, NTNU, SINTEF, SIMULA
Industrial partners
IBM, SAP, OSIsoft, Aibel, Aker Solutions, Schlumberger, Equinor, etc.
Cyber Valley
Cyber Valley is Europe‘s largest AI consortium including partners from science and industry for research and industrial collaboration in the fundamentals of AI for Automotive, Industry 4.0 and E-commerce. The main goal is to bring together key players from science and industry to advance AI and strengthen the knowledge transfer between collaboration partners.
- Start: January 2018
- Location: Tübingen, Germany
- Business applications: Manufacturing, automated driving, engineering development process
- Research topics: Fundamental research covering all aspects of Machine Learning, Computer Vision and Robotics
Collaoration partners
Max-Planck-Gesellschaft, Uni Tübingen, Uni Stuttgart, Land BW, Fraunhofer
Industrial Partners
Bosch, BMW, Daimler, IAV, Porsche, ZF, Amazon
Tsinghua-Bosch Joint Research Center for ML
The Tsinghua-Bosch Joint Research Center on Machine Learning is a joint lab established by the University of Tsinghua and Bosch in order to strengthen joint research and information exchange in fundamentals of Machine Learning for manufacturing at Bosch.
- Start: March 2020
- Location: Peking, China
- Business applications: Optimization in manufacturing, highly automated driving
- Research topics: Probabilistic Deep Learning, Explainable Machine Learning, Meta-learning, Neuro-Symbolic AI, NLP (Natural Language Processing)
Collaboration partner
Jie Tang is a Professor and the Associate Chair of the Department of Computer Science at Tsinghua University. His interests include Artificial Intelligence, Data mining, social networks, and Machine Learning.
He served as PC Co-Chair and Associate General Chair of different conferences on Big Data and Open J, and was honored with several research awards. He leads the project AMiner.org, an AI-enabled research network analysis system, which has attracted more than 20 million users from 220 countries/regions in the world.
Collaboration partner
Prof. Jun Zhu is the Director of the Tsinghua-Bosch Joint Center on Machine Learning. He is also the Director of the Basic Theory Research Center at Tsinghua Institute for AI.
His research focuses on developing statistical Machine Learning methods to understand complex scientific and engineering data, including Bayesian methods, adversarial Machine Learning, and decision-making under uncertainty.
UvA-Bosch Delta Lab – University of Amsterdam
The UvA-Bosch Delta Lab led by Prof. Max Welling (UvA) is a joint lab established by the University of Amsterdam and Bosch in order to strengthen joint research and information exchange in fundamentals of Deep Learning for Automotive and Computer Vision.
- Start: November 2016
- Location: Amsterdam, Netherlands
- Business applications: Automated driving, computer vision, embedded AI
- Research topics: Bayesian DL, Data-efficient DL, generative and unsupervised DL, Reinforcement Learning, and Model Compression
Collaboration partner
Arnold Smeulders is Professor of Artificial Intelligence at the University of Amsterdam and envoy for ELLIS to the new PPP on AI, Data and Robotics. He has been happy to help 65 PhD-students graduating. He was director of COMMIT, the nation-wide public-private program for ICT-research in the Netherlands with 100+ students and 100+ companies.
He is founder of QUVA, the Qualcomm-University lab, of Delta, the BoschGmbH-University lab, of Euvision Technologies BV, and of the current startup Kepler Vision BV. He holds the Korteweg medaillion, an ACM MM achievement award, and membership of the Academia Europeana.
Collaboration partner
Prof. Dr. Max Welling is a Professor at University of Amsterdam, VP Technology at Qualcomm Technologies, fellow of ELLIS (European Laboratory for Learning and Intelligent Systems) and fellow of CIFAR (Canadian Institute for Advanced Research).
His research interests are in mMachine Learning, Computer Vision, statistics and physics. He is the co-founder of “Scyfer BV” a university spin-off in Deep Learning which got acquired by Qualcomm in summer 2017.
