Machine learning-based weather prediction has emerged as a promising complement to traditional numerical weather prediction (NWP) models. Models such as NVIDIA FourCastNet have demonstrated that the computational time for generating weather forecasts can be reduced from hours to mere seconds, a significant improvement to current NWP-based workflows. Traditional methods are formulated from…
]]>Lowering response times to new market events is a driving force in algorithmic trading. Latency-sensitive trading firms keep up with the ever-increasing pace of financial electronic markets by deploying low-level hardware devices like Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs) into their systems. However, as markets become increasingly…
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