Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...

Abstract: Anomaly detection over HTTP traffic has attracted much attention in recent years, which plays a vital role in many domains. This article proposes an efficient machine learning approach to ...

Abstract: The goal of a focused crawler is to selectively fetch pages that are relevant to a given topic. Previous crawlers use text content to determine text topic relevance and manually determined ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

In many ways, Semantle is hard mode Wordle. Gone is the simplified dictionary and five-letter limit, meaning words can be any type and length, and gone is any indication of correctly guessed letters ...

Diabetes mellitus is a group of complex metabolic disorders which has affected hundreds of millions of patients world-widely. The underlying pathogenesis of various types of diabetes is still unclear, ...

With the rapid development of robotic and AI technology in recent years, human–robot interaction has made great advancement, making practical social impact. Verbal commands are one of the most direct ...

Many people have declared 2020 the worst year ever. While such a description may seem hopelessly subjective, according to one measure, it’s true. That yardstick is the Hedonometer, a computerized way ...

In this article we want to show you how to apply deep learning to a domain where we are not experts. Usually applying domain information in any problem we can transform the problem in a way that our ...