November 13, 2024
Headlines

Meet ULTRA: A Pre-Trained Foundation Model for Knowledge Graph Reasoning that Works on Any Graph and Outperforms Supervised SOTA Models on 50+ Graphs

Mathew07 mins

  ULTRA is a model designed to learn universal and transferable graph representations for knowledge graphs (KGs). ULTRA creates relational illustrations by conditioning them on interactions, enabling it to generalise to any KG with different entity and relation vocabularies. A pre-trained ULTRA model exhibits impressive zero-shot inductive inference on new graphs in link prediction experiments,…

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Google Bard can now respond in real time

Mathew02 mins

Google Bard, the conversational AI tool by Google, can now respond to your questions in real-time. You can turn it off and tell Bard to only respond once the answer is complete, but now, by default, Bard writes out the response in real time. Default on. By default, Google has turned on real-time responses, so…

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Microsoft Relaunches pubCenter

Mathew03 mins

Here is an interesting announcement from Microsoft, announcing the new launch of Microsoft pubCenter – which is actually not new, it is from 2006 and had a slow painful death. But Microsoft is bringing it back, saying, “we developed Microsoft pubCenter. It’s a simple way for creators and small to medium-sized publishers to earn money…

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A New AI Research from Fujitsu Improves Weakly-Supervised Action Segmentation For Human-Robot Interaction With Action-Union Learning

Mathew07 mins

  Recent developments in the field of human action recognition have enabled some amazing breakthroughs in Human-Robot Interaction (HRI). With this technology, robots have begun to understand human behavior and react accordingly. Action segmentation, which is the process of determining the labels and temporal bounds of human actions, is a crucial part of action recognition….

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Meta AI Researchers Introduce GenBench: A Revolutionary Framework for Advancing Generalization in Natural Language Processing

Mathew08 mins

  A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Though it’s generally accepted as an important component, it’s still unclear what exactly qualifies as a good generalization in NLP and how to evaluate it. Generalization lets models respond…

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Researchers from Columbia University and Apple Introduce Ferret: A Groundbreaking Multimodal Language Model for Advanced Image Understanding and Description

Mathew010 mins

  How to facilitate spatial knowledge of models is a major research issue in vision-language learning. This dilemma leads to two required capabilities: referencing and grounding. While grounding requires the model to localize the region in line with the provided semantic description, referring asks that the model fully understand the semantics of specific supplied regions….

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