Sophus to host March 10 webinar unveiling Quantum Solver, delivering 50–100× faster optimization for complex supply ...

The new post reflects Buterin’s renewed focus on scaling Ethereum’s base layer, after several years in which much of the ecosystem’s scaling strategy centered on layer-2 rollups.

Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

Netskope’s NewEdge AI Fast Path addresses the security vs. speed challenge by optimizing paths to public and private AI destinations and allowing enterprises to inspect AI traffic without degrading ...

EPTHenOpt is a powerful Python package designed for the synthesis and optimization of Heat Exchanger Networks (HEN). The goal of HEN synthesis is to design a network of heat exchangers that minimizes ...

Commissioner Rob Manfred announced on Thursday that Major League Baseball will be prepared to produce and distribute the telecasts for nine teams that have terminated their deals with FanDuel Sports ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Abstract: The Nearest-Better Network (NBN) is a powerful method to visualize sampled data for continuous optimization problems while preserving multiple landscape features. However, the calculation of ...

SoftBank has turned to quantum computing in a bid to improve radio access network (RAN) performance by optimizing its base station settings. During tests in Tokyo, the Japanese giant employed an Ising ...