This series provides your roadmap for the machine age, exploring how to move from vulnerable prototypes to resilient systems through layered defense, robust MLOps, and integrated governance. By...

By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik SathyanarayananIntroductionNetflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal...

By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik SathyanarayananIntroductionNetflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal...

Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the...

This year, we dedicated our MySQL Basics blog series to those setting out on their first database journey. Designed especially for beginners, each post brought approachable lessons, meaningful...

Cloud database security isn’t just a best practice—it's an absolute necessity. With sensitive data flowing into the cloud, protecting your business-critical assets is non-negotiable, and Oracle...

For the Financial services Industry, PCI DSS compliance ensures the secure handling of cardholder data by organizations that process, store, or transmit credit card information. Payment Card Data...

Transparent Data Encryption (TDE) in Oracle HeatWave MySQL, a fully managed database service within Oracle Cloud Infrastructure (OCI), is a security feature that protects sensitive data at rest by...

本研究提出的TSPulse模型仅有100万参数，成功解决了时间序列预训练模型体积大和计算需求高的问题。该模型在分类和异常检测等任务中表现优异，适合无GPU推理和快速预训练。

本研究提出了一种新的跨模态对齐方法——结构引导跨模态对齐（SGCMA），旨在提升大型语言模型在时间序列预测中的应用。该方法通过学习状态转移图结构和语义对齐，显著提高了预测性能和泛化能力。

本研究提出了一种超轻量级预测模型Alinear，质疑了时间序列预测中的缩放法则。Alinear通过动态调整成分权重和频率衰减策略，在使用不足1%参数的情况下，依然保持了强大的准确性，挑战了“大模型更好”的传统观念。