KPMG US is shifting intern training to focus on AI-era skills like judgment and problem-solving. Interns at its Lakehouse facility will engage in critical-thinking exercises and team competitions. The ...
We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...
ABSTRACT: This paper considers the NP (Non-deterministic Polynomial)-hard problem of finding a minimum value of a quadratic program (QP), subject to m non-convex inhomogeneous quadratic constraints.
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$$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad \frac{1}{2}\langle x,Qx \rangle + \langle c, x \rangle +\phi(x)\\ \text{s.t.} \quad \quad \quad \quad ...
The problem of approximation to a given function, or of fitting a given set of data, where the approximating function is required to have certain of its derivatives of specified sign over the whole ...
What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
Abstract: Neural dynamics is a powerful tool to solve online optimization problems and has been used in many applications. However, some problems cannot be modelled as a single objective optimization ...
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