New research examines how large language models can help organizations balance performance, scalability and cost across ...
Bing Xu, Founder and CEO of INT21, is an AI infrastructure engineer and entrepreneur with deep experience spanning GPU ...
Samrat Mukherjee, Selvaraj Durairaj and Asadullah Saif Mohammed talk about how artificial intelligence can be used to improve cost forecasting accuracy, project-scheduling efficiency and resource ...
Abstract: Quality and efficiency objectives in surface mount technology (SMT) production are inherently conflicting, posing a significant challenge for collaborative optimization. Dynamic factors, ...
Abstract: This research introduces an innovative methodology for fast electromagnetic (EM)-based multi-objective (MO) optimization of planar antennas. The presented approach is implemented within a ...
Effectively scaling semiconductor manufacturing is critical to meeting the rapidly growing demand and requires solving numerous technical challenges. The substantial capital investment required for ...
Management of groundwater quality in agricultural areas requires tradeoffs between competing objectives. These objectives include economic benefit, respect for regulatory-imposed water quality ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns and to ...
The model integrates gated recurrent units (GRU) with double deep Q-networks (DDQN) to improve time-series data processing and action value estimation. Results show that the model achieves the lowest ...
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