Future-proofing digital experience in AI-first semantic search

The rise of artificial intelligence (AI) and its integration into search engines is reshaping how businesses and consumers interact with digital platforms.  This article will share specific steps to future-proof your customer experience across various channels and touchpoints.  Understanding AI-first semantic search  Semantic search represents a quantum leap in the world of search engines. Unlike…

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How to use AI to refresh old blog content

Unique, quality and intent-focused content remains a key element of any digital marketing strategy. But in today’s rapidly changing landscape, it’s easy for your once-promising blog content to become stale and outdated. Gone are the days when you’d publish a blog post and forget about it. As the web gets inundated with new content daily,…

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Google Keyword Planner drops keyword forecasting

Google Ads is no longer maintaining individual and ad group keyword forecasting in Keyword Planner. Few advertisers were using these features so the platform decided to retire them, according to Ginny Marvin, Google’s Ad Liaison, on X (formerly known as Twitter). However, campaign-level forecasts and historical keyword-level data are still available. Why we care. By…

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6 tips to track and analyze PPC results

Whether you have just built your first search campaign or have already set up thousands, once you hit the “launch” button, you’re probably already thinking about how to effectively track and share the results of your efforts. There are dozens of metrics you can use to review PPC performance depending on your business objectives.  While…

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Researchers at Stanford Present A Novel Artificial Intelligence Method that can Effectively and Efficiently Decompose Shading into a Tree-Structured Representation

  In computer vision, inferring detailed object shading from a single image has long been challenging. Prior approaches often rely on complex parametric or measured representations, making shading editing daunting. Researchers from Stanford University introduce a solution that utilizes shade tree representations, combining basic shading nodes and compositing methods to break down object surface shading…

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Google AI and Cornell Researchers Introduce DynIBaR: A New AI Method that Generates Photorealistic Free-Viewpoint Renderings from a Single Video of a Complex and Dynamic Scene

  Over recent years, there has been remarkable progress in computer vision methodologies dedicated to reconstructing and illustrating static 3D scenes by leveraging neural radiance fields (NeRFs). Emerging approaches have tried to extend this capability to dynamic scenes by introducing space-time neural radiance fields, commonly called Dynamic NeRFs. Despite these advancements, challenges persist in adapting…

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