AI and Contract Law: Smart Contracts and Automated Decision-Making

Practical Solutions for Efficient Sparse Neural Networks Addressing the Challenge Deep learning has shown potential in various applications, but the extensive computational power needed for training and testing neural networks poses a challenge. Researchers are exploring…

Understanding Large Concept Models (LCMs) Large Language Models (LLMs) have made significant progress in natural language processing, allowing for tasks like text generation and summarization. However, they face challenges due to their method of predicting one…

Research focuses on improving 3D medical image segmentation by addressing limitations of traditional CNNs and transformer-based methods. It introduces SegMamba, a novel model combining U-shape structure with Mamba to efficiently model whole-volume global features at multiple…

RAG (Retrieval Augmented Generation) is revolutionizing search and information retrieval by using generative AI and vector search to produce direct answers based on trusted data. While RAG has many advantages, it also has limitations, such as…

The {dplyr} package in R is designed for data manipulation, offering functions to filter, sort, and summarize data. One can group data, count distinct values, and strategically create or modify variables with “if else” or “case…

The text “System Design Series: The Ultimate Guide for Building High-Performance Data Streaming Systems from Scratch!” provides a comprehensive overview of creating high-performance data streaming systems. It delves into the process of building a recommendation system…

We are creating a risk evaluation blueprint for large language models (LLMs) aiding in biological threat creation. Initial testing with biology experts and students found that GPT-4 only slightly improves accuracy. While inconclusive, this encourages further…

Mental Health and the Need for AI Solutions Mental health is crucial in today’s world. The stress from work, social media, and global events can affect our emotional well-being. Many individuals struggle with mental health disorders…

The article discusses the use of exponential moving average in time series analysis and its application in approximating parameter changes over time. It explores the motivation behind the method, its formula and mathematical interpretation, and introduces…

The article discusses the rising popularity of image-generating AI, particularly Midjourney AI, which translates text prompts into captivating AI-generated images. The post provides a tutorial on how to use Midjourney AI.

Over 100 deep fake video ads of UK Prime Minister Rishi Sunak surfaced on Facebook, reaching 400,000 people and originating from countries like the US, Turkey, Malaysia, and the Philippines. The ads led to a scam…

Advances in Precision Psychiatry: Integrating AI and Machine Learning Precision psychiatry aims to deliver personalized treatments for psychiatric disorders. AI and machine learning have enabled the discovery of biomarkers and genetic loci associated with these conditions,…

tinyBenchmarks: Revolutionizing LLM Evaluation with 100-Example Curated Sets Practical Solutions and Value Large language models (LLMs) are transforming NLP, but evaluating their performance has been costly and resource-intensive. tinyBenchmarks addresses this challenge by reducing the number…