​[[{“value”:” The research field of Spiking Neural P (SNP) systems, a subset of membrane computing, explores computational models inspired by biological neurons. These systems simulate neuronal interactions using mathematical representations, closely mimicking natural neuronal processes. The complexity of these models makes them valuable for advancing… Read More »Optimizing Spiking Neural P Systems Simulations: Achieving Unprecedented Speed and Efficiency through Compressed Matrix Representations on GPUs Using CUDA Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have given rise to Role-Playing Agents (RPAs), designed to simulate specific characters and interact with users or other characters. RPAs aim to provide emotional value and support sociological studies unlike AI productivity assistants, with applications ranging from emotional companions to… Read More »MMRole: A New Artificial Intelligence AI Framework for Developing and Evaluating Multimodal Role-Playing Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Organizations face challenges when dealing with unstructured data from various sources like forms, invoices, and receipts. This data, often stored in different formats, is difficult to process and extract meaningful information from, especially at scale. Traditional methods for handling such data are either too… Read More »Sparrow: An Innovative Open-Source Platform for Efficient Data Extraction and Processing from Various Documents and Images Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The release of the HQQ Llama-3.1-70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Mobius Labs, known for its cutting-edge innovations, has positioned this model as a cornerstone… Read More »HQQ Llama-3.1-70B Released: A Groundbreaking AI Model that Achieves 99% of the Base Model Performance Across Various Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cross-lingual code cloning has become an important and difficult job due to the rising complexity of modern software development, where numerous programming languages are typically employed inside a single project. The term ‘cross-lingual code clone detection’ describes the process of finding identical or nearly… Read More »Embeddings or LLMs: What’s Best for Detecting Code Clones Across Languages? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” To diagnose and cure cancer, pathologic examination of tissue is crucial. The digital versions of the old histological slides used for light microscopy are gradually replacing them with whole-slide images (WSIs). This allows computational pathology to transition from being used primarily as academic proof… Read More »Microsoft and Paige Researchers Developed Virchow2 and Virchow2G: Second-Generation Foundation Models for Computational Pathology Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accurate segmentation of structures like cells and organelles is crucial for deriving meaningful biological insights from imaging data. However, as imaging technologies advance, images’ growing size, dimensionality, and complexity present challenges for scaling existing machine-learning techniques. This is particularly evident in volume electron microscopy,… Read More »DaCapo: An Open-Sourced Deep Learning Framework to Expedite the Training of Existing Machine Learning Approaches on Large and Near-Isotropic Image Data Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Healthcare artificial intelligence (AI) is rapidly advancing, with large language models (LLMs) emerging as powerful tools to transform various aspects of clinical practice. These models, capable of understanding and generating human language, are particularly promising in addressing complex medical queries, enhancing patient communication, and… Read More »Med42-v2 Released: A Groundbreaking Suite of Clinical Large Language Models Built on Llama3 Architecture, Achieving Up to 94.5% Accuracy on Medical Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integrating advanced educational technology has opened new avenues for enhancing teaching effectiveness, particularly using large language models (LLMs). These models are increasingly being explored as tools to assist educators, especially those new to teaching, in developing detailed and effective lesson plans. The application of… Read More »LessonPlanner: A Tool for Enhancing Novice Teachers’ Effectiveness by Integrating Large Language Models with Structured Pedagogical Strategies to Improve Lesson Planning Quality Sana Hassan Artificial Intelligence Category – MarkTechPost