Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...

Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

Handler, Abram; Larsen, Kai R.; Hackathorn, Richard. Large language models present new questions for decision support. International Journal of Information Management ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

To secure a strategic advantage, the DoD must manage the tension between vendor hype and extreme alarmism regarding AI ...

Corporate leaders across global markets continue to rely on cybersecurity models designed for a different era. The prevailing ...