Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
IEEE

PINN-LSTM Transformer Oil Temperature Time Series Prediction Model Based on Power Bias

Abstract: Accurate oil temperature prediction is critical for condition assessment of power transformers. To address the limitations of conventional models in accuracy and robustness, we propose ...
MUO on MSN

I started using a self-hostable AI research app and I should have sooner

You can even self-host it!
IEEE

Interval Prediction of Aeroengine Remaining Useful Life Based on BCT-Bayesian Bidirectional LSTM Network

Abstract: Considering the uncertainty due to the inconsistency of data disturbance and the variation of operation condition, the accurate estimation of remaining useful life (RUL) is challenging. This ...