Abstract: This study proposes a novel distributed online gradient descent algorithm incorporating a time-decaying forgetting-factor (FF) mechanism. The core innovation lies in introducing a ...

Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...

You heard it here first! The new Otis solver in Houdini 21 uses Vertex Block Descent! They made some nice improvements for stability, including several new hessian approximations. It also runs in ...

Google added a new section to its core updates search developer documentation confirming it sometimes rolls out smaller, unannounced core updates. Google said this before, but now it’s stated ...

Tim Fang is a digital producer at CBS Bay Area. A Bay Area native, Tim has been a part of the CBS Bay Area newsroom for more than two decades and joined the digital staff in 2006. A series of small ...

Implementation of "Breaking the Low-Rank Dilemma of Linear Attention" The Softmax attention mechanism in Transformer models is notoriously computationally expensive, particularly due to its quadratic ...