GORAM: A Graph-Oriented Data Structure that Enables Efficient Ego-Centric Queries on Federated Graphs with Strong Privacy Guarantees

Advancements in AI: Tackling Quantization Challenges with TACQ Advancements in AI: Tackling Quantization Challenges with TACQ Recent research from the University of North Carolina at Chapel Hill has introduced a groundbreaking approach in the field of…

The SEINE model is a short-to-long video diffusion model that generates high-quality extended videos with smooth and creative transitions between scenes. It focuses on generating intermediate frames between two different scenes to achieve seamless transitions. The…

Evaluating Arabic Legal Knowledge in LLMs The evaluation of legal knowledge in large language models (LLMs) has primarily focused on English-language contexts, with benchmarks like MMLU and LegalBench providing foundational methodologies. However, the assessment of Arabic…

Meet Parley: An AI-Powered Startup Helping Immigration Lawyers Write Visa Applications Using AI The United States’ immigration system is known for its complexity and challenges. Parley, an AI platform, offers practical solutions to streamline the immigration…

Researchers from Seoul National University, Seoul National University College of Medicine, and Columbia University have developed an AI-driven camera system that can diagnose obstructive sleep apnoea (OSA) from home. The system, called SlAction, uses infrared videos…

Neural networks use non-linear activation functions to enable them to model and fit complex functions. The most common activation function is the rectified linear unit (ReLU), but there are others such as sigmoid, tanh, and leaky…

Enhancing Recommendation Systems with Knowledge Graphs The Challenge As digital experiences evolve, recommendation systems are crucial for e-commerce and media streaming. However, traditional models often fail to truly understand user preferences, leading to generic recommendations. They…

Understanding Natural Language Generation (NLG) Natural Language Generation (NLG) is a branch of artificial intelligence focused on enabling machines to create text that resembles human writing. By using advanced deep learning techniques, these systems aim to…

Revolutionizing Video Generation with DiTCtrl Generative AI has transformed how we create videos, allowing for high-quality content with minimal human effort. By using multimodal frameworks, we combine various AI models to efficiently produce diverse and coherent…

A University of Warwick study unveils an AI system, X-Raydar, trained on 2.8 million chest X-rays, demonstrating comparable accuracy to doctors in diagnosing 94% of conditions. It highlights potential for efficient diagnosis, particularly in addressing radiologist…

Understanding MDAgents in Medical Decision-Making What Are Foundation Models? Foundation models, like large language models (LLMs), offer great potential in medicine, especially for complex tasks such as Medical Decision-Making (MDM). MDM involves analyzing various data sources,…

The article emphasizes that valuable skills can earn substantial income. It introduces the “Expert Playbook” used by successful internet entrepreneurs like Daniel, Iman Ghadzi, Russel Brunson, and Alex Becker. The playbook involves learning an in-demand skill,…

NeRF models scenes in 3D and learns from various viewpoints to create photorealistic images. Researchers from Sungkyunkwan University improved efficiency with a mask strategy, reducing memory requirements and increasing speed. Point-based rendering enhancements and ongoing research…

Advancements in Language Modeling Recent developments in language modeling have improved natural language processing, allowing for the creation of coherent and contextually relevant text for various uses. Autoregressive (AR) models, which generate text sequentially from left…

Understanding In-Context Learning (ICL) In-Context Learning (ICL) is a key feature of advanced language models. It enables these models to answer questions based on examples provided without specific instructions. By showing a few examples, the model…

Introduction to Large Language Models in Medicine Large Language Models (LLMs) are increasingly utilized in the medical field for tasks such as diagnostics, patient sorting, clinical reporting, and research workflows. While they perform well in controlled…

Practical Solutions for Mitigating Hallucinations in Large Language Models (LLMs) Addressing the Challenge Large language models (LLMs) are essential in various applications, but they often produce unreliable content due to hallucinations. This undermines their trustworthiness, especially…