Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, ...

Similarly, Logseq’s graph view beautifully visualizes the connection between my pages ... This is why the transition felt ...

AI agents need enterprise context to produce reliable results. New developments unveiled at Atlassian's recent conference point to open knowledge graphs and libraries of how-to skills providing that ...

Through a Summer Undergraduate Research Fellowship, Jenny Quan is exploring the mathematical principles behind Rubik's cubes.

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, ...

This repository contains the code and data for the paper "Enhancing Graph Neural Networks for Multi-Target Activity Prediction Through Multi-Task Learning and Knowledge Distillation". The datasets for ...

Ms. Anderson and Ms. Winthrop are the authors of “The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better.” As the new school year gets underway, artificial intelligence is ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...