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Why Artificial Intelligence won over Metaverse | by Technology Trend Curious | Technology Hits | Nov, 2023

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2015 was a landmark year for AI deep learning, with the lowest error rate ever.

Photo provided Mojahid Mottakin upon unsplash

TThe most exciting technologies currently in development are artificial intelligence (AI) and the metaverse. Although AI is currently being used in a variety of businesses, the metaverse is still in its infancy. But the metaverse has recently taken a backseat to AI amid the recent surge in AI activity at big tech companies and elsewhere. Despite renaming Facebook to Meta about two years ago, in March 2023, Meta announced that he would be shifting his research and development focus from his Metaverse to artificial intelligence (AI). This raises questions about the readiness of AI and the metaverse in the consumer market. Here we mention some of the challenges in metaverse development and explain why developing AI is easy.

Photo provided Julian Tromour upon unsplash

SSoftware is also the focus of AI development, as it is the primary tool for developing, implementing, and testing AI models. Using AI in software development can speed up testing, generate code faster and more efficiently, and automate manual tasks. Artificial intelligence (AI) technology is gradually expanding into new areas and finding new uses in established businesses. The concept of AI has been around for decades. However, the availability of software tools, frameworks, and datasets has increased the accessibility of AI development. Now, developers can take advantage of pre-built models and seamlessly incorporate them into their apps. On the other hand, creating a metaverse is a very complex and recent idea. For developers, creating virtual worlds where millions of users interact simultaneously is a big challenge.

One of the biggest challenges in metaverse development is creating a seamless user experience. To create this seamless experience, developers must create an exact replica of the real-world environment. This requires huge R&D budgets and cutting-edge technology such as augmented reality (AR) headsets and all kinds of component technologies.

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