EMBODEAI Proposal Granted

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 Read more…

New paper in Science Advances

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 Read more…