AI News

AUGUST 9, 2024

For starters, in the realm of finance, 0G’s scalability can potentially allow for sophisticated AI-powered trading algorithms to operate directly on-chain. billion by 2029 , reflecting their transformative potential across virtually every sector of the global economy.

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Unite.AI

OCTOBER 21, 2024

Companies like IBM , Google, Intel, and Rigetti have developed QPUs capable of running specialized quantum algorithms. The Current State of QPUs While quantum computing is still in its infancy, major advancements have been made in recent years.

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AI Weekly

APRIL 11, 2024

forbes.com GenAI to increase marketing productivity by more than 40% by 2029, says IDC New research from IDC shows that applying generative artificial intelligence (GenAI) to a range of enterprise marketing tasks will result in an estimated productivity increase of more than 40% by 2029.

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IBM Journey to AI blog

DECEMBER 5, 2023

trillion on retail businesses through 2029. While generative AI currently makes up only 9% of the retail industry’s bottom line impact in 2023, IHL anticipates generative AI will grow to represent 78% of the total financial impact by 2029, reaching a total of USD 4.4 trillion in that year.

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Unite.AI

JUNE 21, 2023

” The AI industry has advanced rapidly over the past few year thanks to the rapid development of deep reinforcement learning algorithms, many that power today's Large Language Models (LLMs). And now I think it may be 20 years or less.”

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IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. ML can also conduct algorithmic trading without human intervention.

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Unite.AI

JULY 16, 2024

billion by 2029 , text-to-3D AI models are poised to play a major role in revolutionizing content creation across industries like gaming, film, e-commerce, and more. b) Mesh extraction : The model uses a differentiable implementation of the marching cubes algorithm to convert the implicit representation into a polygonal mesh.

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