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Explainable AI explained | InfoWorld

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false negative predictions. That’s sometimes acceptable, but matters a lot when the stakes are high. For example, a drone weapons system that falsely identifies a school as […] ....

Matt Turek , Christoph Molnar , Microsoft Research , Defense Advanced Research Projects Agency , Data Labeling Service , Wells Fargo , Machine Learning , Azure Machine , Interpretable Machine Learning , Google Cloud Platform , What If Tool , Feature Fit , Feature Effects ,

Explainable AI explained

Someday machine learning models may be more ‘glass box‘ than black box. Until then, explainability tools and techniques can help us understand how a black box model makes its decisions. ....

Matt Turek , Christoph Molnar , Microsoft Research , Defense Advanced Research Projects Agency , Data Labeling Service , Wells Fargo , Machine Learning , Azure Machine , Interpretable Machine Learning , Google Cloud Platform , What If Tool , Feature Fit , Feature Effects ,

Chinese Leading E-commerce Service Platform Meituan Stirs Up the Unmanned Aerial Vehicle Market

Chinese Leading E-commerce Service Platform Meituan Stirs Up the Unmanned Aerial Vehicle Market
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Jin Bing , Yang Jiong , Mao Yinian , Liu Yanguang , Institute Of Unmanned Systems , Regulations Department Of The State Post Bureau , Super Headquarters Center , Data Labeling Service , University Of Aeronautics , Unmanned Aerial Vehicle , Shenzhen Bay , Headquarters Center , Shenzhen Metro , Chinese Policy , Regulations Department , State Post Bureau , Artificial Intelligence Conference , Unmanned Systems , Beijing University , Data Labeling , Labeling Types , Eight Common Data Annotation , Package Delivery , Warehouse Inventory , Configure Your , Images Labeling ,