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SingularityNET bets on supercomputer network to deliver AGI

AI News

The first supercomputer, slated for completion by early 2025, will be a Frankensteinian beast of cutting-edge hardware: Nvidia GPUs, AMD processors, Tenstorrent server racks – you name it, it’s in there. Want to learn more about AI and big data from industry leaders?

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Transformative Trends: GenAI & Hyperautomation Propel Organizations into a New Era of Success

Unite.AI

The benefits of hyperautomation Hyperautomation integrates various technologies, including Artificial Intelligence (AI), Machine Learning (ML), event-driven software architecture, low-code no-code (LCNC), Intelligent Business Process Management Suites (iBPMS), and Conversational AI to streamline and automate diverse business processes.

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When AI Meets User Experience: Challenges Linger, Opportunities Shine Ever Brighter

Unite.AI

The World Economic Forum projects that from 2020 to 2025, the evolution of AI will lead to the disruption of 85 million jobs worldwide, while also generating 97 million new job opportunities. What tasks could be automated and what AI tools align with your design goals? Continuous learning is the way to go.

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The five key benefits of AIOps and automation

IBM Journey to AI blog

natural language processing and machine learning models) to automate and streamline operational workflows. In this blog post, we will examine traditional IT operation problems through the lens of data-driven automation and the benefits of AIOps. It is the application of artificial intelligence (AI) capabilities (e.g.,

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Foundational Models and Compute Trends

Bugra Akyildiz

Large-scale model training continues to exploit the benefits of ever-larger datasets, researchers have projected that the rate of growth of training datasets may soon outstrip the organic growth of high-quality data on the web, potentially as soon as 2025. deep learning) itself.

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Why Are Automotive Industry Leaders Integrating Virtual Assistants and Other Generative AI-Driven…

Chatbots Life

This automated inspection detects flaws that might be missed by the human eye, ensuring every car meets strict quality standards. This continuous learning helps in refining development processes over time. Working with Microsoft and OpenAI, the company has automated the writing of descriptions for its used car inventory.

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TransOrg’s CX-LLM: Redefining Airline Customer Service with Cutting-Edge AI

TransOrg Analytics

Chatbots automate repetitive activities, distributing the burden and boosting efficiency. million US dollars in 2016 and is expected to grow to 1250 million US dollars in 2025. Continuous Learning The beauty of LLM models is that they continuously learn things. The Chatbot market is increasing every year.

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