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Congratulations to all award winners !- Life Contribution Award: Dennis Gabor Award : Danil Prokhorov
- Young Investigator Award: Aharon Katzir Young Investigator Award : Sheng Li
- Service Award: Ada Lovelace Service Award: DeLiang Wang
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INNS Awards
The International Neural Network Society holds a premier Awards Program bestowing annually the following awards. Nominations must be submitted through the nomination form, reviewed and the submitter must have received an email acknowledgement from the system by October 30th, 2019, 12:00 am (midnight), US Eastern Time.
Life contribution awards recognize outstanding individuals whose scientific life contribution to the field of neural networks was proven to be paradigm changing and long lasting. The program confers three awards recognizing different achievements in neural networks:
The Ada Lovelace Service Award recognizes meritorious service to the neural community.
The Aharon Katzir Young Investigator Award is conferred to a most promising young investigator in the field of neural networks. INNS Doctoral Dissertation Award The INNS Educational Committee invites nominations for the Doctoral Award 2019. This award is presented annually to the author(s) of the best doctoral dissertation(s) in neural networks, machine learning, and related fields by INNS members in recognition of his/her high-quality, excellent, and outstanding research work. Details of how to nominate are available at the following link For information on making a nomination, please review the INNS Award Nomination page. View the list of INNS Award Recipients.
INNS Doctoral Dissertation Award The INNS Educational Committee invites nominations for the Doctoral Award 2020. Extended deadline until 30th May 2020. This award is presented annually to the author(s) of the best doctoral dissertation(s) in neural networks, machine learning, and related fields by INNS members in recognition of his/her high-quality, excellent, and outstanding research work. Details of how to nominate are available at the following link |