A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Abstract: Most existing outlier detection methods rely on a single and fine-grained data representation, making them vulnerable to noise and inefficient in capturing local anomalies. Granular-ball ...

Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...

Researchers have found a metabolite in Burmese pythons that suppresses appetite in mice without some of GLP-1's side effects. And humans make it, too. Reading time 3 minutes The media is rife with ...

City Detect, a company that uses vision AI to help local governments monitor the health of buildings and neighborhoods, announced on Friday a $13 million Series A round led by Prudence Venture Capital ...

Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better. Change point detection is a helpful tool that spots moments when data, such ...

Step 1 I got a students dataset from Kaggle and imported it into Jupyter. Then I verified the data by checking .shape, .info(), and .head() to confirm rows, columns, and sample records. Step 2 I ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

Outlier, a sports betting technology company, announced it has raised $10.7 million in a Series A funding round, including $5.7 million in equity led by Discerning Capital and $5 million earmarked for ...