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r/MachineLearning - [Research] Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
BACKGROUND Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic classifiers by health-care professionals with no coding--and no deep learning--expertise. METHODS We used five publicly available open-source datasets: retinal fundus images (MESSIDOR); optical coherence tomography (OCT) images (Guangzhou Medical University and Shiley Eye Institute, version 3); images of skin lesions (Human Against Machine [HAM] 10000), and both paediatric and adult chest x-ray (CXR) images (Guangzhou Medical University and Shiley Eye Institute, version 3 and the National Institute of Health [NIH] dataset, respectively) to separately feed into a neural architecture search framework, hosted through Google Cloud AutoML, that automatically developed a deep learning architecture to classify common diseases. Sensitivity (recall), specificity, and positive predictive value (precision) were used to evaluate the diagnostic properties of the models. The discriminative performance was assessed using the area under the precision recall curve (AUPRC).
Surveillance rights, deleting people from photos, smart mirrors, and more: Tech Q&A
Q: I have a Ring video doorbell and am deeply concerned about my rights. Can the police department get access to the footage? I heard this is happening. A: Video evidence is gold in prosecutions, so, understandably, the police would be interested in seizing street-level surveillance. But Ring owners should be aware of how their service can be used and their rights when law enforcement comes knocking.
Another convincing deepfake app goes viral prompting immediate privacy backlash
Zao, a free deepfake face-swapping app that's able to place your likeness into scenes from hundreds of movies and TV shows after uploading just a single photograph, has gone viral in China. Bloomberg reports that the app was released on Friday, and quickly reached the top of the free charts on the Chinese iOS App Store. And like the FaceApp aging app before it, the creators of Zao are now facing a backlash over a perceived threat to user privacy. Twitter user Allan Xia posted a neat demonstration of what the app is capable of yesterday with a 30 second clip of their face replacing Leonardo Dicaprio in famous moments from several of his films. According to Xia, the clips were generated in under eight seconds from just a single photograph, however Bloomberg notes that the app can also guide you through the process of taking a series of photographs -- where it will ask you to open and close your mouth and eyes -- to generate more realistic results.
AI has revolutionized photography the industry
Artificial Intelligence (more commonly known as AI) has successfully permeated our lives in the truest sense. From making a business decision to completely changing your profession, AI is rapidly transforming today's business industry. On one hand, it can lead you to a life of professional growth and prosperity if you accept it or it can make you cry tears of frustration. The trick is to understand AI because it is here to stay. Photography is subjective while artificial intelligence (AI) is objective.
7 Machine Learning Best Practices for Business
Netflix's famous algorithm challenge awarded a million dollars to the best algorithm for predicting user ratings for films. But did you know that the winning algorithm was never implemented into a functional model? Netflix reported that the results of the algorithm just didn't seem to justify the engineering effort needed to bring them to a production environment. At your company, you can create the most elegant machine learning model anyone has ever seen. That's no easy feat, which is why we're presenting you with seven machine learning best practices.