Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...

Master Thesis: Building an Uncertainty-Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree in Artificial Intelligence beginning in Fall 2026. As AI rapidly ...

Discover 15 future-proof skills that AI can't replace, from data analysis to emotional intelligence, ensuring your career stays relevant.

Abstract: Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in ...

Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...