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IFAI

On-device AI

Industry tag622 stories

  1. ResearchReach 31

    Dendrocentric AI cuts power from megawatts to watts

    Stanford researchers just designed a computational model that emulates neural dendrites instead of synapses to dramatically slash AI power draw. By responding only to signals in precise sequences, the ferroelectric transistor approach encodes richer data with minimal juice, potentially letting advanced neural networks run directly on smartphone-level wattage.

  2. Open sourceReach 52

    How to automate factory defect inspection with Anomalib

    ML6 detailed how to use the open-source library Anomalib for automated visual inspection in manufacturing. Using a student-teacher setup, the model trains strictly on defect-free nominal images to pinpoint anomalies at the pixel level. Exporting to Intel's OpenVINO increased CPU inference speed by nearly 4x to 30.2 fps.