Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

NVIDIA introduces NV-Tesseract-AD, a sophisticated model enhancing anomaly detection through diffusion modeling, curriculum learning, and adaptive thresholds, aiming to tackle complex industrial ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

Abstract: With the increasing demands for installation accuracy in particle accelerators, accurately evaluating uncertainty throughout the complete installation chain has become a critical engineering ...

Figure 1. Average result across 8 benchmarks for different methods. High performance at the same selection ratio indicates high efficacy, while achieving similar performance with a smaller selection ...

As businesses shift toward smarter digital infrastructures, the database landscape is rapidly evolving. Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless ...

College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China Three-dimensional geological modeling and visualization hold considerable significance for ...

Abstract: Social media platforms, such as YouTube, generate an extensive amount of unstructured data, offering valuable insights into user behavior, engagement patterns, and preferences. This project ...