Research and investment in artificial intelligence (AI) have rapidly expanded over the past decade. The International Data Corporation predicts that global spending on cognitive and AI systems will ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models 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 ...
The power generation sector has been challenged by trends in digitalization, growth of intermittent renewables, equipment performance improvements, new generation, and storage technologies.
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 ...
A differentiating attribute of software companies is the way they integrate customer feedback into product development. Software is designed and built so that its use creates actionable data, which is ...
A new bifacial PV optimization model for 18 Saudi Arabian cities identifies optimal tilt and azimuth, showing rear-side irradiance can boost annual energy yield by 8–12 % and shifts tilt 3°–11° higher ...
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