MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

ABSTRACT: This study investigates the trends and variations in rainfall, temperature, and relative humidity over a 33-year period (1990-2023) in the Tamale metropolis, using data from the five (5) ...

In today’s fast-paced and increasingly unpredictable global environment, large enterprises face mounting risks—natural catastrophes, climate-related disruptions, supply chain breakdowns and emerging ...

1 ICCTR, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States 2 Department of Self-Development Skills, King Saud University, Riyadh, Saudi Arabia Latent variable modeling (LVM ...

Abstract: Adaptation is a desirable feature when dealing with the identification of complex systems. However, this property can be difficult to achieve when non-convex model structures such as neural ...

California’s recent traumatic spate of wildfires has spotlighted the often clunky process of traditional commercial insurance. Typically, businesses are required to document their losses, file a claim ...

CatX, the digital insurance and reinsurance marketplace backed by Silicon Valley investor Y Combinator, has launched an artificial intelligence-powered parametric platform on its Bermudian-based ...

ABSTRACT: This research work is an extension of the study carried out on the physico-mechanical characterisation of aggregates used in the manufacture of standard concretes. The aim is to test the ...

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).