Franklin Institute: Bower Award for Achievement in Science - Neural Networks for Machine Learning

An email of intent to nominate sent to bscheraga@fi.edu by April 30, 2019 is appreciated

Prize for individuals who have made significant contribution 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. Inputs could include text (machine translation), audio (speech recognition), or imagery (face recognition, scene understanding, photo sorting, image synthesis). Outputs could include categorical labels, structured outputs, or actuator commands. Such artificial neural networks have yielded effective approaches to solving a wide spectrum of challenging practical problems resistant to solution using earlier algorithmic machine learning techniques.

Funding: $250K

 https://www.fi.edu/awards/bower-award-prize-achievement-science