Abstract: Distributed parameter systems (DPS) are prevalent in industrial processes; yet, traditional modeling methods are inadequate for handling varying conditions. To address this, a spatiotemporal ...
Systems Planning & Analysis has acquired Group W, a Vienna, Virginia–based data science and defense analytics firm specializing in modeling, simulation and wargaming support for the Department of ...
ChemELLM, a 70-billion-parameter LLM tailored for chemical engineering, outperforms leading LLMs (e.g., Deepseek-R1) on ChemEBench across 101 tasks, trained on ChemEData’s 19 billion pretraining and 1 ...
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As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly ...
The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...
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