To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

The 330 million parameter model was trained using Azure’s A100 GPUs and fine-tuned through a multi-phase process.

Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting highly skewed ...

This article investigates the potential of dual CNN-Transformer architectures for generalizable few-shot anomaly detection (GFSAD), a practical yet understudied form of anomaly detection (AD). In ...