Category Computer Science
In the ever-evolving landscape of computer vision, the DSSD (Deconvolutional Single Shot Detector) approach has emerged as a game-changer, offering a novel method to enhance object detection accuracy. Developed by Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, and Alexander… Continue Reading →
In the realm of open-domain human-computer conversation, the quest for a reliable automatic evaluation metric has long been a challenge. The arduous task of human annotation for model assessment has burdened researchers, consuming precious time and resources. In response to… Continue Reading →
Artificial intelligence continues to push boundaries, particularly in the realm of strategic games, often acting as a litmus test for advancements in the field. While past achievements have predominantly been in games with perfect information, the true challenge lies in… Continue Reading →
When delving into the world of theoretical computer science, one might encounter concepts that seem daunting at first glance. However, with a clear breakdown and analysis, even the most complex topics can be made accessible. In this article, we will… Continue Reading →
Deep learning has revolutionized the field of artificial intelligence, enabling machines to learn complex patterns and representations from vast amounts of data. Hierarchical generative models play a critical role in this process, providing a structured framework for understanding and generating… Continue Reading →
In the rapidly evolving field of radiomics, the ability to extract meaningful quantitative data from medical images has gained considerable attention. Central to this process is the standardisation of image biomarkers, a task undertaken by the Image Biomarker Standardisation Initiative… Continue Reading →
If you’re interested in online learning algorithms, “Corralling a Band of Bandit Algorithms” by researchers Alekh Agarwal, Haipeng Luo, Behnam Neyshabur, and Robert E. Schapire, presents a fascinating approach to maximizing performance by integrating multiple bandit algorithms into a singular,… Continue Reading →
The intersection of computer vision and deep learning has produced remarkable strides in facial recognition technology. A groundbreaking research titled “Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network” by Anh Tuan Tran, Tal Hassner, Iacopo… Continue Reading →
In recent times, the ability to accurately recognize faces has seen tremendous advancements, thanks to machine learning and artificial intelligence. However, achieving the same efficacy in 3D face reconstruction and recognition—especially “in the wild”—has been a challenging ordeal. Researchers Anh… Continue Reading →
Bitcoin has undeniably transformed the digital economy since its inception. However, it faces significant challenges that hinder its performance and scalability. Among these, long confirmation times and insufficient incentives for miners are particularly critical. That’s where Solida blockchain protocol comes… Continue Reading →