With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...
Humans and other animals are constantly required to make decisions under uncertain conditions or while in rapidly changing environments. Past psychology and biology studies showed that some ...
Abstract: This work investigates the fault-prediction optimal output regulation problem for the structural reliability feedback (SRF) system, and it aims to design a reliability feedback controller ...
Anthropic opened its virtual "Briefing: Enterprise Agents" event on Tuesday with a provocation. Kate Jensen, the company's head of Americas, told viewers that the hype around enterprise AI agents in ...
Abstract: The consideration of reliability in controller design is able to avoid the potential actuator faults from inappropriate strategies. This work presents an optimal reliability-critical ...
Objectives To develop an interpretable deep learning model of lupus nephritis (LN) relapse prediction based on dynamic multivariable time-series data. Design A single-centre, retrospective cohort ...
Machine learning is the study of intelligent machines that can learn from data and anticipate future outcomes. One of the most important components of machine learning is dealing with uncertainty, ...
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