LOS ALAMOS, N.M., March 19, 2021--Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Xilinx, Inc. (NASDAQ: XLNX) today introduced Vivado® ML Editions, the industry’s first FPGA EDA tool suite based on machine-learning (ML) optimization algorithms, as ...

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...

Many machine learning algorithms on quantum computers suffer from the dreaded 'barren plateau' of unsolvability, where they run into dead ends on optimization problems. Many machine learning ...