Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

An accomplished technologist and contributor to advanced engineering discourse, Thomas Aerathu Mathew offers a compelling ...

Traversal launches from stealth with $48 million in funding from its seed and Series A rounds, led by Sequoia and Kleiner ...

Arjun Malhotra's work offers a blueprint for building explainable, adaptive, and compliant analytics platforms, demonstrating that real-time data pipelines are not just a technological upgrade but a f ...

AI based on large language models poses risks to Web3 principles. Enter NeuroSymbolic AI, which offers greater auditability ...

Keywords: causal cognition, Semantic Contextual Graph Network, Dynamic Knowledge-Augmented Reasoning, EEG signal analysis, News reading ...

This chapter introduces some of the big ideas behind causality, its principles, and how we can integrate those into a machine learning ... Acyclic Graph (DAG) approach. The PO approach analyzes data ...

title={Causal incremental graph convolution for recommender system retraining}, author={Ding, Sihao and Feng, Fuli and He, Xiangnan and Liao, Yong and Shi, Jun and Zhang, Yongdong}, journal={IEEE ...