Recently, we talked to Dan Fu and Tri Dao – authors of “Hungry Hungry Hippos” (aka “H3”) – on our Deep Papers podcast. H3 is a proposed language modeling architecture that performs comparably to ...

Researchers have introduced a new approach to sequence modeling called linear oscillatory state-space (LinOSS) models, designed for efficient learning on long sequences. Drawing inspiration from ...

In the modern field of deep learning, linear attention mechanisms are gradually becoming a powerful tool for handling long sequence data. Recent research has revealed how these mechanisms 'decay' ...

This study proposes and estimates state-space models with endogenous Markov regime-switching parameters. It complements regime-switching dynamic linear models by allowing the discrete regime to be ...

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...

For a while now, we’ve been talking about transformers, frontier neural network logic models, as a transformative technology, no pun intended. But now, these attention mechanisms have other competing ...

SEATTLE--(BUSINESS WIRE)--Ai2 (The Allen Institute for AI) today announced the release of MolmoAct 7B, a breakthrough embodied AI model that brings the intelligence of state of the art AI models into ...