Quantitative dynamic models are widely used to study cellular signal processing. A critical step in modelling is the estimation of unknown model parameters from experimental data. As model sizes and ...

In the current field of education, the rapid development of technology, especially breakthroughs in artificial intelligence (AI) technology, has begun to influence educational methods and learning ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Pruna AI, a European startup that has been working on compression algorithms for AI models, is making its optimization framework open source on Thursday. Pruna AI has been creating a framework that ...

Sedai, the self-driving cloud™, today launched AI Agent Optimization: the first platform that autonomously optimizes the cost ...

Two papers on MoE-specific quantization algorithms accepted at a workshop held in conjunction with ICML 2026Recognition ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...