AI fails 99% of FormulaOne challenges, exposing gaps in deep reasoning. Discover what this means for future AI research and why it matters.

To deploy agentic AI responsibly and effectively in the enterprise, organizations must progress through a three-tier ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Foveal sensitivity to the features of an imminent saccade target increases with the target’s conspicuity, supporting foveal prediction as a viable mechanism for maintaining visual continuity in ...

Augmentus is offering 3D scanning and AI-driven path planning, expanding its network across Asia-Pacific and North America.

This research addresses these limitations by proposing an innovative approach that integrates reinforcement learning and cognitive graphs to optimize learning paths in real-time. The proposed method ...

Time-dependent prediction model using modified DeepSurv algorithm for dynamic risk assessment of post-operative bone metastases in breast cancer.

Graphs are useful tools to communicate meaningful patterns in data, but their efficacy varies considerably based on the figure’s construction and presentation medium. Specifically, a digital format ...

Welcome to the CP Vault, I've created this repository for competitive programming resources and notes. This collection covers a wide range of topics like dynamic programming, analyzing time complexity ...