Max Tegmark

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

2016 · arXiv (Cornell University)

Using unitary (instead of general) matrices in artificial neural networks (ANNs) is a promising way to solve the gradient explosion/vanishing problem, as well as to enable ANNs to learn long-term correlations in the data. This …

Black-Box Access is Insufficient for Rigorous AI Audits

2024

External audits of AI systems are increasingly recognized as a key mechanism for AI governance. The effectiveness of an audit, however, depends on the degree of access granted to auditors. Recent audits of state-of-the-art AI …