The IEEE Frank Rosenblatt Award was established in 2004.
The award is named in honor of Frank Rosenblatt, who is widely regarded as one of the founders of neural networks. Basing his research on study of fly vision, he developed the single-layer input layer and an output layer of neural cells. Frequent presentation of a pattern or patterns resulted in changes in the input to output connections, facilitating future recognition of these patterns, or memory. His work influenced and even anticipated many modern neural network approaches.
Recipient selection is administered through the Technical Field Awards Council of the IEEE Awards Board.
Sponsor: IEEE Computational Intelligence Society
Presented to: An individual, multiple recipients, or a team of not more than three
Scope: For outstanding contribution(s) to the advancement of the design, practice, techniques, or theory in biologically and linguistically motivated computational paradigms, including but not limited to neural networks, connectionist systems, evolutionary computation, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained
Prize: The award consists of bronze medal, certificate, and honorarium.
Basis for judging: In the evaluation process, the following criteria are considered: quality of contribution, impact on the technical field and society in general, publications or patents or other evidence, and the quality of the nomination.
Nomination deadline: 31 January
Presentation: IEEE policy requires that its awards be presented at major IEEE events that are in keeping with the nature of the award and the cited achievement.