Deadline: May 31, 2019
The Franklin Institute seeks nominations for the 2020 Bower Award and Prize for Achievement in Science of individuals who have made significant contributions to the development of neural networks for machine learning—hardware or software systems designed as networks of artificial neurons that can be given raw data and trained to automatically discover abstract features that are relevant to detection, classification, or translation, resulting in desired outputs.
Nominations are encouraged in, but not limited to, the following subtopics:
- Network architectures: Layered, recurrent, self-organizing, convolutional, long short-term memory, auto encoders, deep networks
- Training or learning methods: Cooperative, competitive, back propagation of errors, supervised, unsupervised, reinforcement, adaptive resonance, generative adversarial
- Network implementation: Analog, digital, stochastic, energy-efficient, hardware-accelerated
- Broad applications: Speech recognition, language translation, face recognition, scene understanding, photo sorting, reading print or handwriting, medical image diagnosis, autonomous vehicles, drug delivery design, question answering, web searches, game playing
Award
- The award includes a 14k gold medal and cash prize of $250,000
Eligibility
- Open to individuals around the world who have made significant contributions to neural networks for machine learning;
- This award and prize must be presented to an individual, as specified by the will of Henry Bower.