​ Subcellular protein localization is key to unlocking the intricate details of cellular function, particularly within the complex milieu of tumor microenvironments. While providing a broad view, traditional proteomics methods often miss the nuanced, sub-cellular information crucial for a complete understanding. Researchers have noted that… Read More »Stanford Researchers Introduce PEPSI: A New Artificial Intelligence Method to Identify Tumor-Immune Cell Interactions from Tissue Imaging Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Many people are now interested in the state space model (SSM) because of how recent research has advanced. Modern SSMs, which derive from the classic state space model, benefit from concurrent training and excel at capturing long-range dependencies. Process sequence data across many activities… Read More »Researchers from China Propose Vision Mamba (Vim): A New Generic Vision Backbone With Bidirectional Mamba Blocks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, surpassing traditional optical character recognition (OCR). It can identify, understand, and extract data from tables and forms with remarkable accuracy. Presently, several companies rely… Read More »Build a vaccination verification solution using the Queries feature in Amazon Textract Dhiraj Thakur AWS Machine Learning Blog

​ In computing, there’s a common challenge when it comes to speeding up the process of running complex language models, like those used in large language understanding tasks. These models, often known as LLMs, require significant computational power, and researchers are always on the lookout… Read More »Meet Marlin: A FP16xINT4 LLM Inference Kernel that can Achieve Near-Ideal ~4x Speedups up to Medium Batch Sizes of 16-32 Tokens Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency. This latency, primarily resulting from traditional autoregressive decoding… Read More »This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Home Table of Contents Getting Started with Diffusers for Text-to-Image Introduction A Brief Primer on Diffusion Configuring Your Development Environment Need Help Configuring Your Development Environment? Setup and Imports Diffusers But What Is AutoPipeline? What Are Some Other Pipelines and Models? Under the Hood,… Read More »Getting Started with Diffusers for Text-to-Image Aritra Roy Gosthipaty and Ritwik Raha PyImageSearch

​ In a recent study, a team of researchers from Google DeepMind has introduced AlphaGeometry, an Artificial Intelligence (AI) system that can easily solve geometry Olympiad questions almost as well as a human gold medallist. Olympiad-level mathematical theorem proofs are noteworthy accomplishments that represent sophisticated… Read More »Google DeepMind Introduces AlphaGeometry: An Olympiad-Level Artificial Intelligence System for Geometry Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Alignment has become a pivotal concern for the development of next-generation text-based assistants, particularly in ensuring that large language models (LLMs) align with human values. This alignment aims to enhance LLM-generated content’s accuracy, coherence, and harmlessness in response to user queries. The alignment process… Read More »Decoding the Impact of Feedback Protocols on Large Language Model Alignment: Insights from Ratings vs. Rankings Vineet Kumar Artificial Intelligence Category – MarkTechPost

​ Machine translation, a crucial aspect of Natural Language Processing, has significantly increased. Yet, a primary challenge persists: producing translations beyond mere adequacy to reach near perfection. Traditional methods, while effective, often need to be improved by their reliance on large datasets and supervised fine-tuning… Read More »This AI Paper from Johns Hopkins and Microsoft Revolutionizes Machine Translation with ALMA-R: A Smaller Sized LLM Model Outperforming GPT-4 Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost