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6 tweets det sidste døgn fra 3 personer
Relaterede tags: #dkpol #aktier #breaking
#dkbiz sidste 24 timer
#dkbiz seneste måned
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1
L_C_I (@LCI_consult)
4 tweets
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Finans (@Finansdk)
1 tweets
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Per Hansen (@PerNordnet)
1 tweets
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L_C_I (@LCI_consult)
#dkpol #dkbiz Tjah....set med danske øjne.. QT @MichaelAArouet (Michael A. Arouet) Each time I write about the breathtaking Polish economic wonder, someone tries to argue that it is all driven by EU subsidies. It’s not. Many EU countries benefit more from EU subsidies yet have much lower growth rates than Poland, the growth champion in Europe. https://t.co/7ymX0KYpLI
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Finans (@Finansdk)
BREAKING: Slaget om 28,7 milliarder er afgjort: Danmarks største CO2-udleder løber med sejren https://t.co/8OQwbC2cat #breaking #dkbiz
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L_C_I (@LCI_consult)
#dkpol #dkbiz Der er en forklaring på hvorfor digitalt opsyn har vundet frem i Kina. Under Mao var opsynet varetaget af kadre i KKP. Det førte til tilfældighed, fejl, kadrenes økonomiske misbrug af viden mv., usikkerhed og ulykke. DK bør også overveje om vi kan gøre det bedre!
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L_C_I (@LCI_consult)
#dkpol #dkbiz Er der fordele ved at indføre det kinesiske digitale opsyn med befolkningen? Færre politiansatte, ansatte i efterretningstjeneste, følelsen af at være "safe", flere handlingsmuligheder -> bedre livskvalitet. QT @XueJia24682 (🇨🇳XuZhenqing徐祯卿) ✨🇨🇳You’d never guess this! Chinese college students just leave their bags unattended in subway stations, head out to hang out, and come back for them later. Nothing ever gets stolen here—the sense of safety is unbelievable. https://t.co/wXvPsyWP9i
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L_C_I (@LCI_consult)
#dkpol #dkbiz Nice QT @lukas_m_ziegler (Lukas Ziegler) Automating recycling with AI-driven sorting! ♻️ AMP Robotics developed the AMP Cortex system, an AI-driven garbage-sorting robot that processes images of recyclable materials, classifying them into hundreds of categories by material type, color, form, and other characteristics. The recycling industry faces severe challenges. Global recycling contamination rates run 20-25%, meaning a quarter of collected recyclables end up in landfills due to sorting errors. Manual sorting is labor-intensive, dangerous (broken glass, sharp metals, biohazards), and struggles with throughput demands. AMP Cortex uses computer vision and robotic arms to identify and pick recyclables at high speed. The system learns to recognize materials across varying lighting, dirt, damage, and mixed streams.conditions where traditional optical sorters fail. Facilities process hundreds of tons daily. Every percentage point improvement in recovery rate translates to significant revenue and environmental impact. The economics are compelling. Labor costs for manual sorters are high, turnover is severe, and sorting speed is limited. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB