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With appropriate strategy and execution, machine-learning capabilities like the three examples described above have potential to make life easier for the modern-day advertiser.
Those misclassifications, known as adversarial examples, have long been seen as a nagging weakness in machine-learning models.
How machine learning “sees” the world Before we get to how adversarial examples work, we must first understand how machine learning algorithms parse images and videos.
Morning Overview on MSN6d
Machine learning decodes glacier erosion: software meets environment
Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...
5d
Tech Xplore on MSNResearchers uncover similarities between human and AI learning
By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...
Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
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