Unpacking a novel fuel-efficiency model aimed at maximising economic benefits and minimisingenvironmental impact, ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
The power generation sector has been challenged by trends in digitalization, growth of intermittent renewables, equipment performance improvements, new generation, and storage technologies.
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 ...
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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