Abstract: The job-shop scheduling problem (JSSP) is one of the best-known combinatorial optimization problems and is also an essential task in various sectors. In most real-world environments, ...

Abstract: Untrained neural network (UNN) has shown promising potential for solving inverse scattering problems (ISPs) with high flexibility and no need of training data. However, iterative ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

We propose a generalized space-time domain decomposition approach for the physics-informed neural networks (PINNs) to solve nonlinear partial differential equations (PDEs) on arbitrary ...

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...

From poetry classes to crochet groups, older adults are finding that learning new skills can support brain health, build ...

Researchers tested Alzheimer’s models and found impaired cognitive flexibility before memory decline. Reducing overactive ...

Artificial intelligence is rewriting the world, and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.