We create and lead the Neuromorphic Computing Technology community in Europe, by catalyzing research and collaboration.

Develop links between Academic Labs and Industry


We aim to enable the uptake of NCT in real-world applications and to match the needs of companies that develop future products with research and technology development. The envisioned applications are in smart industry, health-care, intelligent assistive systems, cognitive robotics, and consumer devices. We aim to create a sustainable communication channel between research labs, industry, general public, and other stakeholders.


Provide access to educational resources


NEUROTECH project assembles and curates a collection of educational resources on all aspects of NCT, to promote core educational events on NCT, and to disseminate NCT curriculum to other communities. The current list of available educational resources can be found in the Blog section. It includes video recordings of lectures, courses at selected Universities, and talk series.




13 June, 2022

AICAS 2022 International Conference on Artificial Intelligence Circuits and Systems

Artificial Intelligence (AI) is driving the new revolution of not only the information technology but also all other industries. New algorithms and application systems are introduced with the power of AI. New computing platforms are required to support the emerging AI algorithms and applications, from cloud servers to edge devices, from system level to circuit level. Facing this new challenge and opportunity, the AICAS conference is established to facilitate the state-of-the-art research, innovation, and development activities at the frontiers of artificial intelligence circuits and systems. It serves as the best platform allowing scholars, technological researchers, and industry from both domestic and international communities to exchange experiences, and demonstrate their studies and further advance AI technologies on circuits and systems. This conference brings together members of our communities to broaden their knowledge in emerging areas of research at the field of artificial intelligence and the circuits and systems. Authors of selected best papers will be invited to submit extended versions of their work for publication in IEEE TCAS-I, and TBioCAS special issues.

Important Dates

Submission of Special Session Proposal and
Tutorial Proposal
December 17, 2021
December 24, 2021
Notification of Acceptance of
Special Session Proposal
December 23, 2021
December 31, 2021
Submission of Regular Papers,
Live Demo and Special Session Full Papers
January 21, 2022
February 4, 2022
Notification of Acceptance of Tutorial ProposalJanuary 14, 2022
Notification of Paper AcceptanceMarch 25, 2022
Camera-ready Submission & Author RegistrationApril 15, 2022
Early bird RegistrationApril 22, 2022

1 September, 2021

2021 Misha Mahowald Prize for Neuromorphic Engineering, 2021 Mahowald Early Career Award

The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering in a broad sense: neurally-inspired hardware, software, and algorithms; as well as other novel architectures. The Prize is awarded by a jury of international experts Chaired by Prof. Terrence Sejnowski, and carries a prize of USD 10’000.

The Mahowald Early Career Award recognizes outstanding Master's students, PhD doctoral students, or postdocs within one year of PhD degree conferral date.  The Award is for an individual (not a group) who has created innovative neuromorphic hardware, software, or an algorithm.  The Award is decided by a jury of established mid-career scientists Chaired by Prof. Andre van Schaik, and carries a prize of USD 2’000 together with a guaranteed seat at either the Capo Caccia or the Telluride Workshops for Cognitive Neuromorphic Engineering.

The submission deadline for both the Prize and the Award is 23:59 UTC, 31 October 2021.

For more information about the Prize and Award, see the home page:


Upcoming Events

No further events are planned at the moment.

Latest Event

24 March, 2022, 3 PM CET

Evolutionary Optimization for Neuromorphic Systems

Tutorial Day2

Educational Tutorial Series 

Catherine Schuman
Assistant Professor,
University of Tennessee


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