CORDIS Project
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This project aims to enhance machine learning algorithms for semantic interpretation of input streams, such as text and images. By addressing the complexity of mapping inputs to entities, it seeks to improve AI systems' ability to understand and organize information more like humans do.
Machine learning has rapidly evolved in the last decade, significantly improving accuracy on tasks such as image classification.
Much of this success can be attributed to the re-emergence of neural nets.
However, learning algorithms are still far from achieving the capabilities of human cognition.
In particular, humans can rapidly organize an input stream (e.g., textual or visual) into a set of entities, and understand the complex relations between those.
In this project I aim to create a genera…
TEL AVIV UNIVERSITY
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