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Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs James Wu AWS Machine Learning Blog

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​ Multi-model endpoints (MMEs) are a powerful feature of Amazon SageMaker designed to simplify the deployment and operation of machine learning (ML) models. With MMEs, you can host multiple models on a single serving container and host all the models behind a single endpoint. The… Read More »Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs James Wu AWS Machine Learning Blog

Can AI Truly Restore Facial Details from Low-Quality Images? Meet DAEFR: A Dual-Branch Framework for Enhanced Quality Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

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​ In the field of image processing, recovering high-definition information from poor facial photographs is still a difficult task. Due to the numerous degradations these images go through, which frequently cause the loss of essential information, such activities are intrinsically hard. This problem highlights the… Read More »Can AI Truly Restore Facial Details from Low-Quality Images? Meet DAEFR: A Dual-Branch Framework for Enhanced Quality Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

UCSC and TU Munich Researchers Propose RECAST: A New Deep Learning-Based Model to Forecast Aftershocks Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

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​ Artificial Intelligence finds its way into almost every possible field. There has been vast research going on in this domain. We are still a lot to discover. Artificial Intelligence and Deep Learning models also play an important role in Seismiography as they are used… Read More »UCSC and TU Munich Researchers Propose RECAST: A New Deep Learning-Based Model to Forecast Aftershocks Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

How Can Automated Retail Checkouts Recognize Unlabeled Produce? Meet the PseudoAugment Computer Vision Approach Rachit Ranjan Artificial Intelligence Category – MarkTechPost

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​ With the advancements in machine learning and deep learning techniques, there has also been an increase in automation of various dimensions. Automation is progressively reducing the need for human intervention in numerous routine aspects of daily life, particularly within retail.  They enable us to… Read More »How Can Automated Retail Checkouts Recognize Unlabeled Produce? Meet the PseudoAugment Computer Vision Approach Rachit Ranjan Artificial Intelligence Category – MarkTechPost

Do Flamingo and DALL-E Understand Each Other? Exploring the Symbiosis Between Image Captioning and Text-to-Image Synthesis Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Multimodal research that enhances computer comprehension of text and visuals has made major strides recently. Complex verbal descriptions from real-world settings may be translated into high-fidelity visuals using text-to-image generation models like DALL-E and Stable Diffusion (SD). On the other hand, image-to-text generation models… Read More »Do Flamingo and DALL-E Understand Each Other? Exploring the Symbiosis Between Image Captioning and Text-to-Image Synthesis Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

This AI Paper Proposes a Recursive Memory Generation Method to Enhance Long-Term Conversational Consistency in Large Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ Chatbots and other forms of open-domain communication systems have seen a surge in interest and research in recent years. Long-term discussion setting is challenging since it necessitates knowing and remembering crucial points of previous conversations. Large language models (LLMs) like ChatGPT and GPT-4 have… Read More »This AI Paper Proposes a Recursive Memory Generation Method to Enhance Long-Term Conversational Consistency in Large Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

This AI Research Unveils ComCLIP: A Training-Free Method in Compositional Image and Text Alignment Madhur Garg Artificial Intelligence Category – MarkTechPost

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​ Compositional image and text matching present a formidable challenge in the dynamic field of vision-language research. This task involves precisely aligning subject, predicate/verb, and object concepts within images and textual descriptions. This challenge has profound implications for various applications, including image retrieval, content understanding,… Read More »This AI Research Unveils ComCLIP: A Training-Free Method in Compositional Image and Text Alignment Madhur Garg Artificial Intelligence Category – MarkTechPost