Panellists observed that AI is currently used to develop predictive analytics, identify risk patterns, and trigger early warnings in complex operations ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

HoldCo Bros are back! @NikonomicsPodcast and I sit down to continue our discussion from last week. In this episode, we ...

(C1) The output should contain only those NxN patterns of pixels that are present in the input. (Weak C2) Distribution of NxN patterns in the input should be similar to the distribution of NxN ...

Timekettle, the global leader in AI-powered cross-language communication, today announces a major system-wide upgrade that ...

Alpine is widely thought to be the newest slowest automobile to the grid, including more than battle distance, yet Gasly ...

The first major upgrade being introduced by Timekettle is an automatic AI model picker called the SOTA (State of the Art) ...

Abstract: This paper proposed a new idea named dominant genes (DGs) in genetic algorithms (GAs) to deal with FMS scheduling problem with alternative production routing. In traditional GAs approach, ...

Abstract: We generalize the generalized Arimoto-Blahut algorithm to a general function defined over Bregman-divergence system. In existing methods, when linear constraints are imposed, each iteration ...

Introduction: The limitations of costly laboratory methods could be addressed by advances in wearable sensors and associated machine learning algorithms (13). Key advantages of wearable technologies ...