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Showing posts from April, 2024
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AI IN SOCIAL MEDIA A  virtual influencer , at times described as a  virtual persona  or  virtual model , is a computer-generated fictional character that can be used for a variety of marketing-related purposes, but most frequently for  social media marketing , in lieu of human " influencers ". Most virtual influencers are designed using computer graphics and motion capture technology to resemble real people in realistic situations. and examples of virtual influencers: 1.  Lu do Magalu https://www.instagram.com/magazineluiza/?utm_source=ig_embed&ig_rid=94730f79-423f-4a75-befb-165a36485d67 In 2022, Lu do Magalu was the most followed virtual influencer. Currently, she is also the virtual human with the most visibility in the world, making it easy to understand why she would top this list.  She boasts more than 14.6 million followers on Facebook, 6 million followers on Instagram, more than 2.6 million YouTube subscribers and over 1.3 million followers on Twitter and TikTok re
  AI art can take various forms, leveraging different techniques and approaches. Here are some types of AI art: Generative Art : This involves using algorithms to generate artwork autonomously. Generative adversarial networks (GANs) and variational autoencoders (VAEs) are commonly used in generative art to create images, music, or other forms of creative output. Style Transfer : Style transfer algorithms apply the style of one image to another, creating new artistic interpretations. These algorithms can combine the content of one image with the style of another, resulting in unique and often surreal artworks. DeepDream : DeepDream is a technique developed by Google that utilizes convolutional neural networks to enhance and modify images in a way that amplifies patterns and textures. The result is a dream-like, psychedelic interpretation of the original image. Text-based Art : AI models trained on text data can generate poetry, stories, or other textual artworks. These models can pro

history of Ai art

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 History of AI Art from 1960s to 2023 AI art is a fascinating and rapidly-evolving field that has seen significant developments in the past few decades. From the early AI art projects of the 1960s and 1970s to the sophisticated deep learning algorithms of today, AI has transformed the way we think about art and creativity. In this blog post, we will explore the modern history of AI art, from its early beginnings to its emergence as a mainstream art form.  Early Developments in AI Art The history of AI art dates back to the 1960s, when early pioneers in the field began exploring the potential of computers to create art. One of the earliest examples of AI art is Harold Cohen’s AARON, a computer program that was designed to create drawings and paintings. AARON used a set of rules and algorithms to generate abstract compositions, and was able to learn and adapt over time based on feedback from its creator. Another early example of AI art is Vera Molnar’s Generative Compositions, a series o

the impact

 the impact of AI art  AI art has a positive impact on art, technology, and society by fostering creativity, accessibility, collaboration, cultural preservation, technological innovation, new perspectives, cultural exchange, and ethical discourse. As AI art continues to evolve and mature, its positive influence on various aspects of human experience is likely to grow, shaping the future of art and technology in profound ways. so if AI art sounds so good why is it so hated and disliked? While AI art brings about numerous positive impacts, it also raises certain concerns and challenges that need to be addressed. Here are some potential drawbacks or negative impacts of AI art: Loss of Human Touch : One of the primary criticisms of AI art is the perceived lack of human emotion and intentionality in the creative process. While AI algorithms can generate impressive artworks, they may lack the depth, nuance, and emotional resonance associated with human-created art, leading to concerns abou