A complete end-to-end system that learns compiler optimization decisions using Graph Neural Networks (GNNs). This system predicts the benefit of Profile-Guided ...

Abstract: In the twilight of Moore’s law, optimizing program performance has emerged as a central focus in computer architecture research. Yet, high-level source optimization remains challenging due ...

WebFX reports that AI optimization is crucial for businesses, focusing on getting cited by AI platforms like ChatGPT and ...

Abstract: This paper presents Shadow Program Inversion with Differentiable Planning (SPI-DP), a novel first-order optimizer capable of optimizing robot programs with respect to both high-level task ...

Discover how the AutoResearch framework can automate your machine learning workflows and drastically reduce manual AI training time.

MADISON, Wis. – The Wisconsin Department of Agriculture, Trade and Consumer Protection (DATCP) announced that 18 projects are receiving grant funding for the 2026 Commercial Nitrogen Optimization ...

For more than two decades, the support for seawater desalination using nuclear energy (in short, called nuclear desalination) has been repeatedly stressed at the General Conference and supported by ...

A-Evolve is a new open-source framework enabling developers to build AI agents that autonomously rewrite their own code to ...