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Effective Training Principles of Physical Reservoirs
arXiv:2606.10130v1 Announce Type: new Abstract: Reservoir computers benefit from the inherent complexity of optical phenomena, which provide rich, often nonlinear dynamics. However, training directly on the reservoir's output renders the system prone to overfitting and computationally inefficient during the training phase. In this work, we investigate strategies to mitigate overfitting and reduce computational overhead through output pruning and regularization.
ECB, BoE weigh ‘two possible mistakes’ as Iran war bites
European Central Bank President Christine Lagarde and Bank of England Governor Andrew Bailey will spend the summer trying to shake off the ghosts of their past inflation mistakes as they move to combat spiraling prices. Europe’s most powerful economic officials face a haunting dilemma: how to respond to the Iran war without repeating the errors that followed the Covid pandemic and Russia’s invasion of Ukraine. Their decisions will shape the continent’s economic future for years to come — and...