Job alert!📢 I have a vacancy for a fully funded 4 year PhD position on New Approximate Bayesian Inference Techniques at the @DondersInst in our Foundations of Natural and Stochastic Computing lab:
https://t.co/Lcu0ODq0sJ 1/6
Happy to share our paper Structure Learning in Predictive Processing Needs Revision (https://t.co/3gyRj9LLu1), which is finally published. Shout out to amazing collaborators @Erwin_de_Wolff, @IrisVanRooij and @JohanKwisthout!
A thread. 1/n
Ready to start our day-long group (hybrid) retreat at conference center (and former monastry) Soeterbeeck in Ravenstein! Feels good to be back after more than two years!
Happy to announce a change in the group's name! From now on we are officially the Foundations of Natural and Stochastic Computing group at @DondersInst! This group hosts (among others) @Max_Hinne @DanajaRutar@Erwin_de_Wolff and @JohanKwisthout
@RinekeV @paulwgoldberg When Y is something like P with an oracle for (PP with an oracle for PP) or P^{PP^{PP}} (like finding the k-th most probable explanation in Bayesian networks) I prefer not to pronounce it at all 😀
@AI_Radboud is very proud to host (with @tudelft) AI-student Akke Toeter in the @DBicgroup for his thesis project on the intersection of Space Flight and Neuromorphic Computing! Congrats Akke on this huge achievement!
Come work with @IrisVanRooij and me on this (fully funded) PhD project 'How to Grow an Internal Model: A Toolbox for the Computational Modeller' at the @DondersInst !
https://t.co/2P4Zk7O4iz
(thread 1/7)
Our ultimate goal is to understand which problems can be solved energy-efficiently on such systems and which problems are inherently energy-greedy, in order to allow for an optimal utilization of the potential of neuromorphic architectures. 6/6
Paper "On the computational power and complexity of Spiking Neural Networks" by Nils Donselaar and @JohanKwisthout accepted for NICE2020 (https://t.co/MQGQwTOQwc) and to appear in ACM ICPS. Preprint available here: https://t.co/VjIsZYlggg -- summary in this thread: 1/6
Within the Intel Neuromorphic Research Community we augment our fundamental complexity work and algorithm design with implementation and simulation on the Loihi system to validate and inform our theoretical work. 5/6