For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

DVRE cuts MaxSAT encoding size offline and clauses online, delivering the fastest complete MBD on ISCAS-85 for both single- ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

To get a clearer grip on what that something is, we need to understand what happens when we change between fuzzy values and ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

Abstract: Weak targets on the sea surface are considered as significant detection problem because the weak echo signals are usually overwhelmed by strong sea clutter. Conventional adaptive coherent ...