CONFLICT RESOLUTION

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Conflict, arguments, and change are natural parts of our lives, as well as the lives of every agency, organization, and nation. Conflict resolution is a way for two or more parties to find a peaceful solution to a disagreement among them. The disagreement may be personal, financial, political, or emotional. When a dispute arises, often the best course of action is negotiation to resolve the disagreement. Conflict resolution through negotiation can be good for all parties involved. Often, each side will get more by participating in negotiations than they would by walking away, and it can be a way for your group to get resources that might otherwise be out of reach.

Engineering

Just a few years ago, social media research was hailed as the panacea of all marketing research. The ridiculous quantities of brand opinions and opinionators available in social media would mean that focus groups would die, surveys would die, and all research questions would have instant answers. Fast forward to today and surveys continue to thrive. Learn why social media research didn’t hold up to expectations and why it’s finally breaking through. Presented at #IIEXap14 #IIEX

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Post-it notes: The banner that makes you like banners

World Brand Academy

This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks (CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations. When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10 and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing accuracy improvements over previous techniques. The results indicate that the combination of the volumetric input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating adversary training.

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