Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...

Hitpaw Vikpea Releases V4.3.2 Featuring Intuitive Ui Optimization, New Ai Pilot Model And Full Cloud Acceleration ...

Uprise, a trusted expert in transforming Europe’s energy landscape, has partnered with Gurobi Optimization, LLC, the leader in decision intelligence technology, to help a Norwegian state-owned energy ...

The development of compressed-sensing (CS) methods for magnetic resonance (MR) image reconstruction led to an explosion of research on models and optimization algorithms for MR imaging (MRI). Roughly ...

Embedding Plant Constraints into Optimization Models Optimization in power plants isn’t just about maximizing efficiency—it must also respect operational, safety, and regulatory constraints.

A simple example for fine-tuning Qwen2.5-Omni thinker model using verl framework #321 New issue Open hyc2026 ...

This paper proposes a linear optimization model for the assessment of the benefits of EV smart charging on both network reliability improvement and electricity cost reduction. The objective of the ...

Abstract Because of its potential benefits, petroleum refineries are increasingly concerned about their planning operations. Although some refinery models for production planning were proposed, they ...