Google Search officially stops indented results

Google has stopped showing indented results in the Google search listings. Google has historically showed an indented search result under the main result when it was from the same domain but over the past few weeks, Google stopped indenting those results. What changed. Danny Sullivan, the Google Search Liaison, posted “We stopped doing “indented results”…

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Win customer loyalty across channels

Converting new customers is a lot more expensive than the cost of retention. So, understanding customer intent to drive retention and loyalty is necessary for marketers looking to nurture relationships through email, SMS, chat, and paid and organic messaging tactics. Learn how every click, keyword and channel alignment is a step closer to conquering your…

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Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents

  Human scientists can explore the depths of the unknown and make discoveries requiring various undetermined choices. Armed with the body of scientific knowledge at their disposal, human researchers explore uncharted territories and make ground-breaking discoveries in the process. Studies now investigate if building AI research agents with similar capabilities is possible. Open-ended decision-making and…

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AI Researchers from Bytedance and the King Abdullah University of Science and Technology Present a Novel Framework For Animating Hair Blowing in Still Portrait Photos

  Hair is one of the most remarkable features of the human body, impressing with its dynamic qualities that bring scenes to life. Studies have consistently demonstrated that dynamic elements have a stronger appeal and fascination than static images. Social media platforms like TikTok and Instagram witness the daily sharing of vast portrait photos as…

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UCSD and ByteDance Researchers Present ActorsNeRF: A Novel Animatable Human Actor NeRF Model that Generalizes to Unseen Actors in a Few-Shot Setting

  Neural Radiance Fields (NeRF) is a powerful neural network-based technique for capturing 3D scenes and objects from 2D images or sparse 3D data.NeRF employs a neural network architecture consisting of two main components: the “NeRF in” and the “NeRF out” network. The “NeRF in” network inputs the 2D coordinates of a pixel and the…

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