To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

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Abstract: This article is devoted to stochastic convergence theorems for stochastic impulsive systems (SISs) and their application to discrete-time stochastic feedback control (DTSFC). A general ...

Abstract: Predictive Process Monitoring (PPM) aims to predict the future states of ongoing process instances. A primary objective is to accurately predict process outcomes while ensuring decision ...

Randall Morck of the Alberta School of Business says economists too often regard people as "dynamic, stochastic optimization ...

There are "costs of life" that mechanical physics cannot calculate. A clear example is the energy required to keep specific ...

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and enables scaling on constrained hardware.

Introduction: Acceptance and Commitment Therapy (ACT)-based interventions have proven effective in supporting student well-being. However, the change processes occurring during such interventions ...