Abstract: Time series anomaly detection (TSAD) is a fundamental practice in information management, aimed at identifying unusual patterns in temporal datasets. This process is critical to maintaining ...

At Galaxy Unpacked 2026, Samsung reveals the AI-powered Galaxy S26 series with a built-in Privacy Display, Perplexity integration, and new Buds4 earbuds.

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

Amazon Prime Big Deal Days is in its second day, and today we're tracking steep discounts on the previous generation Apple Watch Series 10. This includes $120 off both the 42mm and 46mm GPS models, ...

We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...