Charles’ paper published in Advanced Materials
Charles’ paper on photopatternable PEDOT:PSS has been published in Advanced Materials.
Charles’ paper on photopatternable PEDOT:PSS has been published in Advanced Materials.
Yoeri was elected to be associated editor for the scientific journal Science Advances working for Deputy editor George Malliaras handling topics ranging from organic electronics, neuromorphic devices and systems, organic electrochemical transistors to bioinspired electronics. See link.
At the Neuromorphic Organic Devices conference (NOD) in Berlin Anthony was awarded the Best Scientific Poster Award, which included a monetary prize of 150 euros. Congrats Anthony!
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 the award ceremony at the Rijksmuseum. More information can be found here
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 that are trivial for humans, especially those involving physical interactions. At the same time these systems consume excessive power for training and operation. That is because they are inefficient with their model representations (many parameters) and their data (big data and many trials for training). 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 allow us to now train multilayer artificial neural networks directly in hardware. First authors Eveline Van Doremaele and Tim Stevens found a way to overcome the energy-inefficient storing of the partial derivative of the weights digitally, by sequentially updating each layer in the network directly Read more
During the TU/e Research day on June 13, Eveline was nominated for the best thesis. Find out more: TU/e Research Day 2024