Pinterest revenue rises 11% in Q3 in huge win for advertisers

Pinterest’s third-quarter revenue jumped 11% to $763 million in Q3, 2023. Ad earnings surged as the platform’s global monthly active users increased by 8% year-on-year to 482 million. The company credited its success in part to “Its ability to attract and retain advertisers and effectively measure advertising campaigns.” Why we care. Advertisers interested in diversifying…

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Microsoft Relaunches pubCenter

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

  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

  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

  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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