​[[{“value”:” Foundation models have emerged as transformative digital technologies, introducing new capabilities and risks that have captured unprecedented public attention. However, the current foundation model ecosystem lacks transparency, mirroring issues faced by earlier digital technologies like social media platforms. The 2023 Foundation Model Transparency Index… Read More »Bridging Policy and Practice: Transparency Reporting in Foundation Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Role of ChatGPT in Enhancing Tourist Decision-Making: A Study Based on Accessibility–Diagnosticity Theory: This study examines the influence of ChatGPT on tourist decision-making, focusing on the accessibility and diagnostic quality of its travel recommendations. By leveraging the Accessibility–Diagnosticity Theory (ADT), the analysis highlights… Read More »Leveraging ChatGPT for Enhanced Tourist Decision-Making: Insights from Accessibility-Diagnosticity Theory Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Limitations in handling deceptive or fallacious reasoning have raised concerns about LLMs’ security and robustness. This issue is particularly significant in contexts where malicious users could exploit these models to generate harmful content. Researchers are now focusing on understanding these vulnerabilities and finding ways… Read More »Fallacy Failure Attack: A New AI Method for Exploiting Large Language Models’ Inability to Generate Deceptive Reasoning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As artificial intelligence (AI) continues to advance, it increasingly generates creative works such as art, music, and inventions that challenge traditional notions of intellectual property (IP) ownership. This intersection between AI and IP raises fundamental questions about existing laws and their adaptability to these… Read More »AI and Intellectual Property: Who Owns AI-Generated Creations? Aabis Islam Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Federated Learning (FL) is a successful solution for decentralized model training that prioritizes data privacy, allowing several nodes to learn together without sharing data. It’s especially important in sensitive areas such as medical analysis, industrial anomaly detection, and voice processing.  Recent FL advancements emphasize… Read More »DP-Norm: A Novel AI Algorithm for Highly Privacy-Preserving Decentralized Federated Learning (FL) Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Role of AI in Multi-Omics Analysis for NSCLC Treatment: The integrated multi-omics data analysis—including genomic, transcriptomic, proteomic, metabolomic, and interactomic data—has become essential for understanding the complex mechanisms behind cancer development and progression. While advancements in multi-omics have revealed crucial insights into cancer,… Read More »Leveraging AI for Multi-Omics Analysis and Precision Medicine in Non-Small-Cell Lung Cancer NSCLC: Opportunities and Challenges Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Small language models (SLMs) have become a focal point in natural language processing (NLP) due to their potential to bring high-quality machine intelligence to everyday devices. Unlike large language models (LLMs) that operate within cloud data centers and demand significant computational resources, SLMs aim… Read More »A Comprehensive Survey of Small Language Models: Architectures, Datasets, and Training Algorithms Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Information retrieval (IR) models face significant challenges in delivering transparent and intuitive search experiences. Current methodologies primarily rely on a single semantic similarity score to match queries with passages, leading to a potentially opaque user experience. This approach often requires users to engage in… Read More »Researchers from John Hopkins and Samaya AI Propose Promptriever: A Zero-Shot Promptable Retriever Trained from a New Instruction-based Retrieval Dataset Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Aerospace companies face a generational workforce challenge today. With the strong post-COVID recovery, manufacturers are committing to record production rates, requiring the sharing of highly specialized domain knowledge across more workers. At the same time, maintaining the headcount and experience level of the workforce… Read More »GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock Peter Bellows AWS Machine Learning Blog