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

Unite.AI

Unlike today's AI systems, which are designed for specific tasks, ASI would be capable of handling any intellectual task that humans can doand even surpass them in certain areas. The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI.

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Top 10 AI Practice Management Solutions for Healthcare Providers (January 2025)

Unite.AI

Throughout these functions, AI automation works to reduce manual tasks and optimize common workflows. The system combines voice recognition, automated note-taking, and EHR integration to help healthcare providers focus more on patient care and less on paperwork. What sets Carepatron apart is its emphasis on customization.

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CMS develops new AI algorithm to detect anomalies

Flipboard

Autoencoders, a specialised type of neural network, are designed for unsupervised learning tasks. CMS is just one of many experiments at CERN that is improving its performance using AI, automation and machine learning. The cornerstone of this approach is an autoencoder-based anomaly detection system.

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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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Exploring the Intersection of AI and Blockchain: Opportunities & Challenges

Unite.AI

Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing. As a result, AI improves productivity, reduces human error, and facilitates data-driven decision-making for all stakeholders.

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Automating Words: How GRUs Power the Future of Text Generation

Towards AI

Author(s): Tejashree_Ganesan Originally published on Towards AI. Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? They’re called Gated Recurrent Units, and they’re basically an upgraded type of neural network that came out in 2014.

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Journey to AI blog

Machine learning and deep neural network models can effectively analyze this data to identify patterns, correlations and relationships, which is particularly useful for understanding a patient’s unique profile. These algorithms can help curate highly personalized advertisements and content tailored to the desired audience.