materials devices and applications
van de Burgt Research Group | Eindhoven University of Technology
Organic electronic materials offer an attractive option for embedding artificial neural networks in hardware and could provide biocompatible and inexpensive neuromorphic devices with low-energy switching and excellent tunability.
Organic biocompatible materials and devices can interface with biology and as such adaptable bioelectronics can offer promising solutions for the manipulation and local processing of biological signals spanning from brain-computer-interfaces and robotics to bioinformatics
In autonomous applications such as smart robotics, where low-power and low-energy are required, dedicated devices and trainable arrays based on organic electronic materials are ideal candidates.
Ammodo Science Award for fundamental researchprovides excellent mid-career scientists (5-15 years after PhD) with the opportunity to conduct pioneering fundamental scientific research. Yoeri was awarded this award, that includes 350.00 euros for fundamental research, at Read more…
Pei won the best contributed presentation awarded by IOP Neuromorphic Computing and Engineering!
The EASI Exploratory Multisciplinary A.I. Research (EMDAIR) proposal EMBODEAI: Towards Embodied AI for Continuous Humin-Like Learning proposal was granted. Project Description: State-of-the-art (deep) reinforcement learning systems, for all their fantastic achievements, struggle in real-world tasks Read more…
In Davos, Switzerland, Yoeri was awarded the iCANx Young Scientist Award at the first annual iCANx meeting.
Eveline’s and Tim’s paper on Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks is now out in Science Advances. The highly predictable tuning characteristics of organic EC-RAM Read more…
