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Has AI Taken Over the World? It Already Has

Unite.AI

GPUs, originally developed for rendering graphics, became essential for accelerating data processing and advancing deep learning. This period saw AI expand into applications like image recognition and natural language processing, transforming it into a practical tool capable of mimicking human intelligence.

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Artificial Super Intelligence: Preparing for the Future of Human-Technology Collaboration

Unite.AI

AGI, still under development, seeks to create machines that can think, learn, and comprehend a variety of functions like human abilities. Advancements in technologies like neural networks, which are vital for deep learning due to their design inspired by the human brain, are playing an essential role in the development of ASI.

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AI News Weekly - Issue #339: Next DeepMind's Algorithm To Eclipse ChatGPT - Jun 29th 2023

AI Weekly

Now Demis Hassabis, DeepMind’s cofounder and CEO, says his engineers are using techniques from AlphaGo to make an AI system dubbed Gemini that will be more capable than that behind OpenAI’s ChatGPT. wired.com Sponsor AI Investing is here with Pluto Make informed investment decisions like never before with Pluto, the pioneer in AI investing.

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20 Deep Learning Applications in 2024 Across Industries

Pickl AI

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

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AI News Weekly - Issue #341: Elon Musk unveils new AI company set to rival ChatGPT - Jul 13th 2023

AI Weekly

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi theage.com.au

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Optimizing Packaging Line Efficiency With AI-Powered Automation

Aiiot Talk

For example, integrating it into an automated bagger would make automatic measurement and capacity analysis faster and more accurate. Combining deep learning, natural language processing, surveillance systems and computer vision would enable rapid decision-making.

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Unlocking financial benefits through data monetization

IBM Journey to AI blog

Data insight and AI automation drive cost optimization with predictive maintenance, process automation and workforce optimization. AI automation substantially reduces data security and compliance risks by proactively identifying and analyzing the severity, scope and root cause of threats before they impact the business.