The latest incarnation of the notorious BreachForums hacking forum has suffered a data breach, with its user database table ...

Abstract: Considerable research achievements have been made in utilizing information granulation as an effective technique for addressing long-term time-series forecasting. However, existing studies ...

A cornerstone of SAP’s announcements is Retail Intelligence, a new solution within SAP Business Data Cloud that applies AI to ...

This latest acquisition comes as the company continues its expansion beyond chatbots into specialized business applications.

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...

Since labeled samples are typically scarce in real-world scenarios, self-supervised representation learning in time series is critical. Existing approaches mainly employ the contrastive learning ...

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Meet NoDB, an open source Airtable alternative that builds REST endpoints and SDKs, so your team moves faster without monthly ...