Online social media often mirrors the social phenomenon of "Chinese Whispers" where information mutates during dissemination.Many a time, Twitter and Facebook in conjunct[...]

Causal modeling enables robust counterfactual reasoning and interventional mechanisms to make predictions across different hypothetical scenarios. Nevertheless, uncoverin[...]

The AI-digital era is characterized by an unprecedented surge in data usage, spanning from data centers to IoT devices. This growth has driven the evolution of AI-optimiz[...]

Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to[...]

Machine learning has risen to the forefront of scientific research due to its unparalleled predictive capabilities. As a result, researchers have become increasingly inte[...]

Wireless multi-hop networks have been widely exploited for deploying cost-efficient network backbones including wireless community mesh networks, high-speed urban network[...]

State-of-the-art conversational agents have advanced significantly in conjunction with the use of large transformer-based language models. However, even with these rapid [...]

Building Information Modeling has become an industry standard for designing, documenting, and collaborating within the architecture, engineering, and construction industr[...]

To match the increasing demand for interactions with artificial intelligence (AI) in medicine and science, many strive to find the most efficient and accurate method to i[...]

Recent advancements in the domain of deep learning models have engendered remarkable progress across numerous computer vision tasks. Notably, there has been a burgeoning [...]