Top Tweets for #Synthetic_data
Synthetic Training Data in AI-Driven Quality Inspection: The Significance of Camera, Lighting, and Noise Parameters
https://t.co/8uo4wB0WH5
#synthetic_data #rendering_parameter
Generative Adversarial Networks (GANs) to enhance well-log data analysis.
Sequence-based GANs are employed for synthetic well log data generation and imputation, improving data availability and accuracy, while Ensemble GANs are utilized to detect anomalies in well logs.
๐ Share an article by the authors from Politecnico di Milan in Italy.
๐ On the Quality of Synthetic Generated Tabular Data
๐ https://t.co/Dr7lJHZ9Hk
#utility_measures;
#synthetic_data;
#class_imbalance;
#tabular_data
@MDPIOpenAccess @ComSciMath_Mdpi
Day 1 of @IHI_SYNTHIA #KoM was a success! The discussions about tackling the challenges in #synthetic_data and #AI in #healthcare have already started! So glad that @CERTHellas is part of this consortium! Many thanks to the coordinators @IISLaFe and Matical!
๐ฃ New commentary is out! 'Synthetic data protection: Towards a paradigm change in data regulation?' by Ana Beduschi (@ana_beduschi): https://t.co/3gbhAdeAEn #GDPR #data_protection #AI #machine_learning #non-personal_data #synthetic_data
@Radiology_AI @HElhalawaniMD @cekahn @RSNA Hi everyone!
I am Bardia Khosravi, a postdoc researcher @MayoAILab. Iโll be moderating this #RadAIchat on the exciting topic of #Synthetic_Data.
A study shows how an artificial #import #declarations dataset ease #customs administration via 22 key attributes synthesized with #CTGAN. #Synthetic_data is restriction-free and cuts identity risk. Data are similar to originals. Advanced #algorithms better spot #fraud, per arXiv.
#AI #medical_imaging researcher #Jorge_Cardoso created realistic, high resolution #3D_images of #human_brains with AI. He is opening 100,000 synthetic brain images to #healthcare https://t.co/RWjakond17 speed understanding of #dementia, #aging and #brain_diseases. #synthetic_data
This is the best working model on my #Lego #MachineLearning effort up to date. 99.7% accuracy on a dataset of 50 classes with 15k images each. 14K images per class are #synthetic_data 1K images are "real" photos, captured or collected.
Maxing out 16 CPUs, 104 it/sec for 50x faster #synthetic_data generation than on #colab with #gretel_synthetics 0.11.2. Nice work @gretel_ai team!!!
Why use #synthetic_data?
The more data an #algorithm has to work with, the better its results will be. But not every #business has access to enough data from which #artificial_intelligence can extract valuable insights
@raconteur
https://t.co/o088dMGr8f
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