Machine Learning is not the silver bullet, because of its black-box nature and required training. Outsight relies on deductive inference instead. (more…)
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Machine learning (ML) models, e.g., deep neural networks (DNNs), are
vulnerable to adversarial examples: malicious inputs modified to yield
erroneous model outputs, while appearing unmodified to human observers.
Potential attacks include having malicious ... (more…)
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How AI and Machine Learning is integrated into beekeeping and how it can help beekeepers. (more…)
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Curated list of libraries for a faster machine learning workflow - amitness/toolbox... (more…)
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