const ai = require('juncheng-ai'); async function deploy() { const model = await ai.load('gru-predictor'); const plc = new PLCController({ protocol: 'modbus-tcp', host: '192.168.1.100' }); const mes = await MESIntegration.connect({ db: 'production', schema: 'smart_factory' }); const pipeline = ai.createPipeline([ model.predict, plc.control, mes.report ]); await pipeline.run({ mode: 'production', monitoring: true }); console.log('Smart factory deployed successfully'); } import React from 'react'; import { Remotion } from 'remotion'; const VideoComponent = () => { return <Remotion.Composition id="tech-demo" fps={30} width={1920} height={1080} />; }; function trainGRU(data) { const layers = [128, 64, 32]; const model = new GRUNetwork(layers); model.fit(data, { epochs: 100, batchSize: 32 }); return model; } const svg = d3.select('svg').attr('viewBox', '0 0 800 600'); svg.selectAll('circle').data(dataset).join('circle').attr('r', d => d.value);