The quantum AI market is poised for transformative growth, driven by its ability to optimize systems, enhance decision-making ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Query optimization isn’t necessarily new. Cost governance in the cloud to ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

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

"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.

Jorge Nocedal can’t stop thinking about optimization. Even when gazing at Lake Michigan or lying in bed, he constantly imagines new approaches to new problems in new areas, like deep learning. “I ...

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 ...