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 the 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.
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 a bronze medal, certificate, and honorarium.
Basis for judging: In the evaluation process, the following criteria are considered: quality of the contribution; impact on the technical field and society as demonstrated by publications, patents, or other evidence; and the quality of the nomination.
Nomination deadline: 31 January
Notification: Recipients are typically approved during the June IEEE Board of Directors meeting, usually held towards the end of the month. Recipients and their nominators will be notified following the meeting. Subsequently, the nominators of unsuccessful candidates will be notified of the status of their nomination.
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.
Sponsor: IEEE Computational Intelligence Society