A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

An analysis of recent guidance and emerging best practices on counsel’s ethical duty to be technologically proficient, with a focus on counsel’s obligations in the context of e-discovery and ...

Abstract: Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting ...

American democracy is under direct threat today, and that threat must be vanquished. But in the longer term, we also need to think about ways to make democracy in the United States more representative ...

Abstract: Neural-symbolic computing (NeSy), which pursues the integration of the symbolic and statistical paradigms of cognition, has been an active research area of Artificial Intelligence (AI) for ...