Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

Butterfly optimisation techniques constitute a class of swarm-inspired metaheuristic algorithms that mimic the foraging and mating behaviour of butterflies. At their core, these algorithms assign a ...

A schematic of the architecture of SPIM. Many variables are represented by the spatial pattern of laser light, enabling parallel processing. Osaka, Japan – From planning transportation networks to ...

A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization (CO ...

In what order does a package delivery service route its deliveries to minimize fuel consumption and time? This type of problem – known as a combinatorial optimization problem – lies at the heart of ...

What if the next new mathematical discovery didn’t come from a human mind, but from an AI? Imagine a machine not just crunching numbers but proposing original solutions to problems that have baffled ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Traditionally, people in the business world laud entrepreneurs as visionaries—risk-takers, lone wolves with audacious ideas. Risk-taking, ambition and resilience are vital parts of becoming an ...