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Elevate your marketing solutions with Amazon Personalize and generative AI Ba’Carri Johnson AWS Machine Learning Blog

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​ Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication… Read More »Elevate your marketing solutions with Amazon Personalize and generative AI Ba’Carri Johnson AWS Machine Learning Blog

The Frontier of Artificial Intelligence (AI) Agent Evolution Hari Gadipudi Artificial Intelligence Category – MarkTechPost

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​ Navigating the intricate matrix of AI agent architecture, a paradigm shift emerges, distinguishing these self-evolving entities from traditional software applications. While conventional software remains tethered to its preordained functionalities, AI agents, underpinned by Large Language Models (LLMs) like GPT-4, showcase a dynamic prowess in… Read More »The Frontier of Artificial Intelligence (AI) Agent Evolution Hari Gadipudi Artificial Intelligence Category – MarkTechPost

IBM Introduces a Brain-Inspired Computer Chip that Could Supercharge Artificial Intelligence (AI) by Working Faster with Much Less Power Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ In the ever-evolving landscape of artificial intelligence, the need for faster and more efficient processing capabilities has been a persistent challenge for computer scientists and engineers. The latest breakthrough from IBM Research offers a promising solution—a dedicated computer chip named NorthPole. This innovative chip,… Read More »IBM Introduces a Brain-Inspired Computer Chip that Could Supercharge Artificial Intelligence (AI) by Working Faster with Much Less Power Niharika Singh Artificial Intelligence Category – MarkTechPost

Tsinghua University Researchers Propose Latent Consistency Models (LCMs): The Next Generation of Generative AI Models after Latent Diffusion Models (LDMs) Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​ Latent Consistency Models (LCMs) efficiently generate high-resolution images by directly predicting augmented probability flow ODE solutions in latent space. This method eliminates the need for extensive iterations, significantly reducing computational complexity and generation time compared to existing models. LCMs excel in text-to-image generation, delivering… Read More »Tsinghua University Researchers Propose Latent Consistency Models (LCMs): The Next Generation of Generative AI Models after Latent Diffusion Models (LDMs) Adnan Hassan Artificial Intelligence Category – MarkTechPost

Meta AI Introduces Habitat 3.0, Habitat Synthetic Scenes Dataset, and HomeRobot: 3 Major Advancements in the Development of Social Embodied AI Agents Sana Hassan Artificial Intelligence Category – MarkTechPost

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​ Facebook AI Research (FAIR) is dedicated to advancing the field of socially intelligent robotics. The primary objective is to develop robots capable of assisting with everyday tasks while adapting to the unique preferences of their human partners. The work involves delving deep into embedded… Read More »Meta AI Introduces Habitat 3.0, Habitat Synthetic Scenes Dataset, and HomeRobot: 3 Major Advancements in the Development of Social Embodied AI Agents Sana Hassan Artificial Intelligence Category – MarkTechPost

Identifying Controversial Pairs in Item-to-Item Recommendations Apple Machine Learning Research

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​*= Equal Contributors Recommendation systems in large-scale online marketplaces are essential to aiding users in discovering new content. However, state-of-the-art systems for item-to-item recommendation tasks are often based on a shallow level of contextual relevance, which can make the system insufficient for tasks where item… Read More »Identifying Controversial Pairs in Item-to-Item Recommendations Apple Machine Learning Research

Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features Apple Machine Learning Research

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​Device-directed speech detection (DDSD) is the binary classification task of distinguishing between queries directed at a voice assistant versus side conversation or background speech. State-of-the-art DDSD systems use verbal cues (for example, acoustic, text and/or automatic speech recognition system (ASR) features) to classify speech as… Read More »Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features Apple Machine Learning Research

Meet FreeU: A Novel AI Technique To Enhance Generative Quality Without Additional Training Or Fine-tuning Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

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​ Probabilistic diffusion models, a cutting-edge category of generative models, have become a critical point in the research landscape, particularly for tasks related to computer vision. Distinct from other classes of generative models, such as Variational Autoencoder (VAE), Generative Adversarial Networks (GANs), and vector-quantized approaches,… Read More »Meet FreeU: A Novel AI Technique To Enhance Generative Quality Without Additional Training Or Fine-tuning Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

Intelligently search Drupal content using Amazon Kendra Channa Basavaraja AWS Machine Learning Blog

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​ Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra helps you easily aggregate content from a variety of content repositories into a centralized index that lets you quickly search all your enterprise data and find the most accurate answer.… Read More »Intelligently search Drupal content using Amazon Kendra Channa Basavaraja AWS Machine Learning Blog