News Archive

Public talk by Prof. Dr. Grace Li Zhang, TU Darmstadt

ZITI is very happy to welcome Prof. Dr. Grace Li Zhang from TU Darmstadt for a public talk on “Efficient Hardware for Neural Networks”. The talk will take place July 29, 16:00 in the ZITI lecture room (INF350, room U014).

Invited talk at National Supercomputing Center in Shenzhen, on 'On Accelerating Deep and Bayesian Neural Architectures'!

Also seeing the well-known Nebulae supercomputer, previously ranked number 2 in the TOP500 list and apparently still (with some upgrades) in operation!

ECML article on Walking Noise accepted for publication!

Conference article on “Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics” accepted for publication at European Conference on Machine Learning in Vilnius! Preprint: link

Invited talk at Tsinghua University, Beijing on 'On Accelerating Deep and Bayesian Neural Architectures', sponsored by Yu Wang!
JMLR article on 'Resource-Efficient Neural Networks for Embedded Systems' accepted for publication!

Journal contribution on “Resource-Efficient Neural Networks for Embedded Systems” accepted at Journal of Machine Learning Research, jointly with colleages from Graz University of Technology! Read more: link or link

ICS article on DeepHYDRA accepted for publication!

Conference article on “DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems” accepted for publication at International Supercomputing Conference in Kyoto! Read more: link

TRETS article on GraphScale in combination with HBM published!

Congrats to Jonas for a post-PhD-defense publication on “GraphScale: Scalable Processing on FPGAs for HBM and Large Graphs”, an extension of his FPL2023 paper! Read more here: link

Article on measuring random telegraph noise of resistive memory published!

Kudos to the colleagues from the Khunjerab project on a published article on “Random telegraph noise caracteristic of nonvolatile resistive random access memories based on optical interference principle”! Read more here: link

ITEM 2024 to take place with ECML-PKDD2024!

The 5th Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM) has accepted to take place in conjunction with ECML-PKDD2024! CfP: www.item-workshop.org

Public talk by Dr. Georg Hager, Erlangen National High Performance Computing Center (NHR@FAU)

ZITI is very happy to welcome Dr. Georg Hager for a visit on February 5 2024. Dr. Hager will give a public talk on “Performance Engineering with Resource-Based Metrics” at 4 pm in the ZITI lecture room (INF 350, room U014). Read more

AccML paper on activation pruning accepted!

Happy to announce that Daniel got his first paper accepted! - “Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning”, at the AccML workshop, collocated with HiPEAC2024 conference. Read the preprint here: link

New publications at ITEM and PBMS workshops

Two papers to be presented at ITEM workshop (collocated with ECML 2023), and one paper at PMBS workshop (collocated with SC 2023)!

Our PhD students in HiPEAC Magazine

The HiPEAC Info Magazine covers a couple of our PhD students, some in flight and some who already graduated!

Guest lecture at Chinese Academy of Sciences, Beijing on 'Charting the Course: Future Directions on the Intersection of Hardware Systems and Artificial Intelligence'!
New Course on Embedded ML

New course on “Embedded Machine Learning” for this summer term.

ITEM Workshop Accepted

The fourth ITEM workshop is accepted as a full-day workshop at ECML 2023 in Turin, Italy!

Guest lecture at Xi'an University

Guest lecture at Xi’an University of Technology on “HW and SW support for Embedded Machine Learning”.

WEML 2023 in Heidelberg

The Workshop on Embedded Machine Learning (WEML2023) took place in Heidelberg, after a long COVID break!

New publication at Practical-DL Workshop

Congrats to Torben and Bernhard for an accepted paper on Towards Hardware-Specific Automatic Compression of Neural Networks at the Practical-DL workshop at the AAAI conference! Find the code here: https://github.com/UniHD-CEG/galen

  • Additional kudos for bringing a best paper award back home!
New Publication at AccML Workshop
Future of FPGAs in HPC and Datacenter

We are co-organizing the Workshop on “Future of FPGAs in HPC and Datacenter”

Workshop on Embedded Machine Learning (WEML2023)

The next Workshop on Embedded Machine Learning (WEML2023) will take place March 2nd, 2023! Read more: https://www.deepchip.org/weml2023