This is our PyTorch implementation for the paper: Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He and Tat-Seng Chua (2021). Learning Intents behind Interactions ...

Abstract: Fine-grained Zero-shot Learning on the large-scale dataset ImageNet21K is an important task that has promising perspectives in many real-world scenarios. One typical solution is to ...

Abstract: Knowledge question and answering (Q&A) is widely used. However, most existing semantic parsing methods in Q&A usually use cascading, which can incur error ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...

Spread the love“`html In a move that few anticipated, Google has unveiled a groundbreaking open standard for AI agents called the OKF AI standard. Launched in June 2026, this innovative framework has ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Your vault has a graph. But you can only stare at it. Obsidian's graph view is beautiful, but it can't answer questions — "Which notes have the most links?" "How many hops between these two concepts?" ...

Spread the love“`html Did you hear about Google’s latest move in the artificial intelligence space? Probably not, and that’s precisely the point. While the tech giant is famous for its splashy product ...

WorkBoard Inc., provider of the leading enterprise strategy execution and OKR platform, WorkBoardAI, today announced the ...

We invited teenagers to create an original five-minute podcast about almost anything. Listen to the winning entries selected from 1,400 submissions. By The Learning Network To participate, submit your ...

AWS Continuum and AWS Context lead a wave of announcements designed to help customers create momentum with agents applied ...