«`html SYNCOGEN: A Machine Learning Framework for Synthesizable 3D Molecular Generation Through Joint Graph and Coordinate Modeling Introduction: The Challenge of Synthesizable Molecule Generation In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds. Yet, a major challenge remains: many AI-generated molecules… →

Understanding the Target Audience for A Code Implementation to Efficiently Leverage LangChain to Automate PubMed Literature Searches, Parsing, and Trend Visualization The target audience for this implementation primarily consists of biomedical researchers, data scientists, and academic professionals specializing in health sciences and AI applications. Their engagement with the tutorial hinges on a desire to enhance… →

«`html Amazon Researchers Reveal Mitra: Advancing Tabular Machine Learning with Synthetic Priors Introduction Amazon researchers have released Mitra, a foundation model specifically designed for tabular data. Unlike traditional methods that create a unique model for each dataset, Mitra utilizes in-context learning (ICL) and synthetic data pretraining, achieving state-of-the-art performance across various tabular machine learning benchmarks.… →