Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents 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 ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

After a quiet 2025, evidence suggests Apple is working on modest but highly anticipated updates to two of its accessories. New evidence found in a leaked internal build of iOS 26 seen by Macworld ...

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Gizmodo may earn an affiliate commission. Reading time 3 minutes Of ...

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 ...

[# of rows (r)] [# of columns (c)] [ r * c numbers ranged -1 to 3 represents: 0: blank position(s) 1: initial movable block position(s) 2: final block position(s) 3: overlapped movable block & final ...