Category Computer Science
As deep learning (DL) applications continue to grow exponentially, researchers and engineers grapple with the heavy input/output (I/O) workloads they create on computer clusters. The recent introduction of FanStore—a transient runtime file system—attempts to tackle this issue head-on. This innovative… Continue Reading →
In the field of digital imaging, the quest for enhanced resolution has ignited research and innovation, particularly within the scope of the PIRM Challenge 2018. This event focused on perceptual image super-resolution (SR), setting the stage for innovative approaches to… Continue Reading →
In the rapidly evolving world of blockchain technology, smart contracts have emerged as a revolutionary force, promising applications across law, business, commerce, and governance. However, along with their potentials, these autonomous programs also present significant security vulnerabilities. The research article… Continue Reading →
Deep learning has transformed the landscape of machine learning, proving itself indispensable through various applications across industries. However, as deep neural networks (DNNs) become increasingly prevalent, concerns about their interpretability and reproducibility arise. Enter DeepPINK, a novel method for enhancing… Continue Reading →
With urbanization on the rise, more families in Peru are choosing to live in apartments over traditional houses, drawn by numerous advantages such as lower maintenance and enhanced amenities. However, this shift also brings with it unique security challenges. Viable… Continue Reading →
The realm of artificial intelligence is constantly evolving, particularly in the area of natural language processing (NLP). An intriguing research focus is the QuAC (Question Answering in Context) dataset, which aims to enhance dialog-based question answering. In this article, we… Continue Reading →
In the landscape of artificial intelligence and deep learning, there is a constant tension between performance and resource utilization. One significant advancement in this domain is the concept of quantization, a technique that allows deep networks to operate more efficiently… Continue Reading →
Federated Learning (FL) is rapidly gaining traction as a method for decentralized machine learning, enabling multiple parties to train machine learning models without sharing their data. However, alongside this potential, challenges arise. One such challenge is the threat posed by… Continue Reading →
In recent years, automatic skin lesion segmentation has become an integral component in the fight against melanoma, one of the deadliest forms of skin cancer. Despite the rising demand for efficient diagnostic tools, the traditional methods for developing skin lesion… Continue Reading →
Anime and manga enthusiasts have long been fascinated by the vibrant colors that bring these artworks to life. However, the process of colorizing line art, especially in anime styles, presents significant challenges due to the inherent complexities in human visual… Continue Reading →