Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

A novel algorithm showed 93% accuracy in predicting risk for poststroke pneumonia in a new study, with tracheostomy status, aspiration, cough frequency, malnutrition, and cognitive impairment ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

A new algorithm that encourages robots to move more randomly to collect more diverse data for learning. Northwestern Engineering researchers have developed a new artificial intelligence (AI) algorithm ...

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...

shenzhen, May 16, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 16, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a novel quantum entanglement-based ...

An international research team has developed a hybrid maximum power point tracking (MPPT) technique for PV systems that operate under partial shading or rapidly changing atmospheric parameters. The ...

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on ...