New spin on speculative decoding works with any model - now built into Transformers We all know that AI is expensive, but a new set of algorithms developed by researchers at the Weizmann Institute of ...

In this paper, we compare four state-of-the-art gradient boosting algorithms viz. XGBoost, CatBoost, LightGBM and SnapBoost. All these algorithms are a form of Gradient Boosting Decision Trees(GBDTs).

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...