Detecting Aircraft Engine Anomalies with Autoencoders: Honeywell Patent Analysis
An autoencoder is a neural network trained through unsupervised learning to encode data and reconstruct an output as close as possible to the input.
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Smart Factories and Robot Prognostics: ABB Patent Analysis
Smart factories are a prominent application of Fourth Industrial Revolution technologies. Predictive maintenance helps optimize maintenance policies, reduce costs and improve equipment availability and reliability. Prognostics is one of the approaches attracting attention in this field.
Read articleResearch Paper Analysis: StarGAN
StarGAN (Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation)
Read articleResearch Paper Analysis: ResNet — Deep Residual Learning for Image Recognition
This article examines the paper “Deep Residual Learning for Image Recognition.”
Read articleImproving Deep Learning Performance: Mixup Training and Label Smoothing
This article explains two techniques used in deep learning: mixup training and label smoothing.
Read articleFacebook AI Paper Analysis: DETR and End-to-End Object Detection with Transformers
ECCV (European Conference on Computer Vision) 2020: An analysis of end-to-end object detection with transformers.
Read articleEquipment Anomaly Detection: MakinaRocks Patents on Autoencoders and Transfer Learning
Autoencoders are widely used to detect faults in manufacturing equipment. This article examines a MakinaRocks patent concerning autoencoder training.
Read articlePost-Processing AI Prostate-Cancer Assessments: JLK Inspection Patent Analysis
Prostate cancer has sometimes been called “the emperor's cancer” because prominent figures such as John Kerry have been diagnosed with it, and “father's cancer” because it commonly affects men over 50.
Read articlePreventing Overfitting in Medical Imaging AI: VUNO Patent Analysis
Pattern-recognition research explores how to apply efficient human recognition processes to computers, including the classification of input patterns into defined groups.
Read articlePreparing Chatbot Training Data: Natural Language Processing Patent Analysis
Shortages of customer-service staff and infrastructure can make it difficult for businesses to meet customer expectations. Chatbots are being introduced to supplement these resources and improve service quality.
Read articleUnderstanding the Limitations of GAN Models
An earlier article introduced generative adversarial networks (GANs) in the context of deepfakes. Their operating principles suggest a broad range of generative applications, but GANs also face technical challenges. This article examines those limitations.
Read articleAI for Dementia Analysis: JLK Inspection Patent Analysis
Occasional forgetfulness becomes more common with age and may cause concern about dementia. Memory decline alone, however, is not enough to establish that diagnosis.
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