Since its theoretical concept in the 1950s, artificial intelligence (AI) paved the way for businesses to experience enhanced opportunities and productivity through various techniques, especially ...
In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...
Abstract: This work proposes a hybrid nonlinear control algorithm for electric power steering (EPS) systems, designed by integrating backstepping control (BSC), sliding mode control (SMC), and ...
SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...
Deep learning–based pancreas segmentation in CT has advanced rapidly yet remains evaluated primarily with mean overlap metrics that fail to capture robustness—defined as the proportion of cases ...
The capacity for artificial intelligence (AI) to formulate, evolve, and test altered thought patterns under dynamic conditions indicates advanced cognition that is crucial for scientific discovery.
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