CORDIS Project
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This project focuses on a new algorithm for training deep neural networks, inspired by biological processes. It aims to enhance machine learning performance across various applications, including image classification and drug discovery, while preparing for commercialization.
In machine learning, deep neural networks are powerful computer-based models that use layers of computational units.
Current commercial applications for these models include a wide array of software tasks such as image classification, identification of potential drugs, market predictions and speech recognition.
Network models must be ‘trained’ using data, and their success hinges critically on the quality of the learning algorithm that is employed.
We have recently discovered a novel, biological…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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