Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...
A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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Did that lamp just fold the laundry? Alumni rethink home robotics
When Aaron Tan began his Ph.D. in mechanical and industrial engineering at the University of Toronto in 2019, leading a ...
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