Abstract: Matrix factorization (MF) is a fundamental problem in machine learning, which is usually used as a feature learning method in various fields. For complex data involving spatiotemporal ...

Binary Search,Cholesky Decomposition,Compression Approach,Compression Rate,Deep Learning Models,Fast Search,Fisher Information,Floating-point Operations,Hardware Platform,Improvement In Latency,Input ...

IAS Officer Breaks Stereotype: In the era when political leaders and businessmen send their children to private schools or abroad for studies, an IAS officer sets an example and slaps the stereotype, ...

There's big news for government employees. Insider buzz surrounding the 8th Pay Commission suggests that the salary formula will remain unchanged. Yes, the pay matrix used in the 7th Pay Commission ...

Unsurprisingly, Lewis Hamilton tops the list of all-time F1 points scorers. Hamilton has had an uninterrupted career since making his debut in the front-running McLaren in 2007, with the majority of ...

Psilocybin-assisted therapy demonstrated long-term safety and efficacy for major depressive disorder, with two-thirds of patients remaining in complete remission at 5 years, according to a study ...

Motivation: Deep learning models in computer vision have achieved remarkable accuracy, but often at the cost of heavy computation and memory demands. This creates a barrier for researchers and ...