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Persado Survey Finds that Human Creatives Achieve Better Digital Marketing Effectiveness When Aided by Generative AI-Driven Insights

Retail marketing leaders have a lot riding on their digital marketing effectiveness, given that they spend 58% of their digital marketing budget on digital ads. But, when marketers rely only on their experience to choose digital campaign language, they don’t always achieve the best results. That is the takeaway from our 2023 Digital Marketer Survey …

Creating Conversational Interfaces with React and Natural Language Processing

Creating conversational interfaces has become increasingly important as businesses look to provide more personalized and efficient customer service. One way to achieve this is by using Natural Language Processing (NLP) and React to build conversational interfaces that can understand and respond to user input naturally. Understanding Natural Language Processing Before we dive into creating conversational …

Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data

Self-training has been shown to be helpful in addressing data scarcity for many domains, including vision, speech, and language. Specifically, self-training, or pseudo-labeling, labels unsupervised data and adds that to the training pool. In this work, we investigate and use pseudo-labeling for a recently proposed novel setup: joint transcription and translation of speech, which suffers …

MTTR vs. MTBF: What’s the difference?

Businesses rely every day on various systems and pieces of equipment to keep their operations running smoothly. But all systems inevitably require upkeep. It could be intangible software, like an IT service network that has accumulated enough bugs to break an important feature, sending developers scrambling for a fix. Or it could be a piece …

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F-VLM: Open-vocabulary object detection upon frozen vision and language models

Posted by Weicheng Kuo and Anelia Angelova, Research Scientists, Google Research Detection is a fundamental vision task that aims to localize and recognize objects in an image. However, the data collection process of manually annotating bounding boxes or instance masks is tedious and costly, which limits the modern detection vocabulary size to roughly 1,000 object …

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AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. The first option is fast start, collaborative notebooks accessible within Amazon SageMaker Studio—a fully integrated development environment (IDE) for machine learning. You can quickly launch notebooks in Studio, easily dial up or down the …