​[[{“value”:” Multi-View and Multi-Scale Alignment for Mammography Contrastive Learning:Contrastive Language-Image Pre-training (CLIP) has shown potential in medical imaging, but its application to mammography faces challenges due to limited labeled data, high-resolution images, and imbalanced datasets. This study introduces the first full adaptation of CLIP to… Read More »Multi-View and Multi-Scale Alignment (MaMA): Advancing Mammography with Contrastive Learning and Visual-Language Pre-training Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AMD has recently introduced its new language model, AMD-135M or AMD-Llama-135M, which is a significant addition to the landscape of AI models. Based on the LLaMA2 model architecture, this language model boasts a robust structure with 135 million parameters and is optimized for performance… Read More »AMD Releases AMD-135M: AMD’s First Small Language Model Series Trained from Scratch on AMD Instinct™ MI250 Accelerators Utilizing 670B Tokens  Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The research evaluates the reliability of large language models (LLMs) such as GPT, LLaMA, and BLOOM, extensively used across various domains, including education, medicine, science, and administration. As the usage of these models becomes more prevalent, understanding their limitations and potential pitfalls is crucial.… Read More »ReliabilityBench: Measuring the Unpredictable Performance of Shaped-Up Large Language Models Across Five Key Domains of Human Cognition Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integrating AI-powered code-generating technologies, such as ChatGPT and GitHub Copilot, is revolutionizing programming education. These tools, by providing real-time assistance to developers, accelerate the development process, enhance problem-solving, and make coding more accessible. Their increasing prevalence has sparked a growing interest in their influence… Read More »Exploring the Influence of Code Generation Tools (ChatGPT & GitHub Copilot) on Programming Education Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine Learning ML offers significant potential for accelerating the solution of partial differential equations (PDEs), a critical area in computational physics. The aim is to generate accurate PDE solutions faster than traditional numerical methods. While ML shows promise, concerns about reproducibility in ML-based science… Read More »Evaluating the Efficacy of Machine Learning in Solving Partial Differential Equations: Addressing Weak Baselines and Reporting Biases Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. However, manually curating these datasets from the web is labor-intensive, inefficient, and often unscalable, creating a significant… Read More »Crawl4AI: Open-Source LLM Friendly Web Crawler and Scrapper Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The intersection of contract law, artificial intelligence (AI), and smart contracts tells a fascinating yet complex story. As technology takes on a more prominent role in transactions and decision-making, it raises crucial questions about how foundational legal concepts like offer, acceptance, and intent apply.… Read More »AI and Contract Law: Smart Contracts and Automated Decision-Making Aabis Islam Artificial Intelligence Category – MarkTechPost

​[[{“value”:” PyTorch has officially launched torchao, a comprehensive native library designed to optimize PyTorch models for better performance and efficiency. The launch of this library is a milestone in deep learning model optimization, providing users with an accessible toolkit that leverages advanced techniques such as… Read More »torchao: A PyTorch Native Library that Makes Models Faster and Smaller by Leveraging Low Bit Dtypes, Quantization and Sparsity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Free Energy Principle (FEP) and its extension, Active Inference (AIF), present a unique approach to understanding self-organization in natural systems. These frameworks propose that agents use internal generative models to predict observations from unknown external processes, continuously updating their perceptive and control states… Read More »RxEnvironments.jl: A Reactive Programming Approach to Complex Agent-Environment Simulations in the Julia Language Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Anthropic’s Claude 3 family of models, available on Amazon Bedrock, offers multimodal capabilities that enable the processing of images and text. This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual… Read More »Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock Eashan Kaushik AWS Machine Learning Blog