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Category: computing – Page 26

The concept of computational consciousness and its potential impact on humanity is a topic of ongoing debate and speculation. While Artificial Intelligence (AI) has made significant advancements in recent years, we have not yet achieved a true computational consciousness capable of replicating the complexities of the human mind.

AI technologies are becoming increasingly sophisticated, performing tasks that were once exclusive to human intelligence. However, fundamental differences remain between AI and human consciousness. Human cognition is not purely computational; it encompasses emotions, subjective experiences, self-awareness, and other dimensions that machines have yet to replicate.

The rise of advanced AI systems will undoubtedly transform society, reshaping how we work, communicate, and interact with the digital world. AI enhances human capabilities, offering powerful tools for solving complex problems across diverse fields, from scientific research to healthcare. However, the ethical implications and potential risks associated with AI development must be carefully considered. Responsible AI deployment, emphasizing fairness, transparency, and accountability, is crucial.

In this evolving landscape, ETER9 introduces an avant-garde and experimental approach to AI-driven social networking. It redefines digital presence by allowing users to engage with AI entities known as ‘noids’ — autonomous digital counterparts designed to extend human presence beyond time and availability. Unlike traditional virtual assistants, noids act as independent extensions of their users, continuously learning from interactions to replicate communication styles and behaviors. These AI-driven entities engage with others, generate content, and maintain a user’s online presence, ensuring a persistent digital identity.

ETER9’s noids are not passive simulations; they dynamically evolve, fostering meaningful interactions and expanding the boundaries of virtual existence. Through advanced machine learning algorithms, they analyze user input, adapt to personal preferences, and refine their responses over time, creating an AI representation that closely mirrors its human counterpart. This unique integration of AI and social networking enables users to sustain an active online presence, even when they are not physically engaged.

The advent of autonomous digital counterparts in platforms like ETER9 raises profound questions about identity and authenticity in the digital age. While noids do not possess true consciousness, they provide a novel way for individuals to explore their own thoughts, behaviors, and social interactions. Acting as digital mirrors, they offer insights that encourage self-reflection and deeper understanding of one’s digital footprint.

As this frontier advances, it is essential to approach the development and interaction with digital counterparts thoughtfully. Issues such as privacy, data security, and ethical AI usage must be at the forefront. ETER9 is committed to ensuring user privacy and maintaining high ethical standards in the creation and functionality of its noids.

ETER9’s vision represents a paradigm shift in human-AI relationships. By bridging the gap between physical and virtual existence, it provides new avenues for creativity, collaboration, and self-expression. As we continue to explore the potential of AI-driven digital counterparts, it is crucial to embrace these innovations with mindful intent, recognizing that while AI can enhance and extend our digital presence, it is our humanity that remains the core of our existence.

As ETER9 pushes the boundaries of AI and virtual presence, one question lingers:

— Could these autonomous digital counterparts unlock deeper insights into human consciousness and the nature of our identity in the digital era?

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Information has become increasingly important in understanding the physical world around us, from ordinary computers to the underlying principles of fundamental physics, including quantum theory. How can information help discern physics? What can physics contribute to understanding information? And what about quantum information?

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Max Tegmark is Professor of Physics at Massachusetts Institute of Technology. He holds a BS in Physics and a BA in Economics from the Royal Institute of Technology in Sweden. He also earned a MA and PhD in physics from University of California, Berkeley.

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Netgear has fixed two critical vulnerabilities affecting multiple WiFi router models and urged customers to update their devices to the latest firmware as soon as possible.

The security flaws impact multiple WiFi 6 access points (WAX206, WAX214v2, and WAX220) and Nighthawk Pro Gaming router models (XR1000, XR1000v2, XR500).

Although the American computer networking company did not disclose more details about the two bugs, it did reveal that unauthenticated threat actors can exploit them for remote code execution (tracked internally as PSV-2023–0039) and authentication bypass (PSV-2021–0117) in low-complexity attacks that don’t require user interaction.

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Scientists at Osaka University have designed a nanogate that opens and closes using electrical signals, offering precise control over ions and molecules.

This tiny innovation has the potential to transform sensing technology, chemical reactions, and even computing. By adjusting voltage, researchers can manipulate the gate’s behavior, making it a versatile tool for cutting-edge applications.

Nanogates: control at the macro and nanoscale.

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How do languages balance the richness of their structures with the need for efficient communication? To investigate, researchers at the Leibniz Institute for the German Language (IDS) in Mannheim, Germany, trained computational language models on a vast dataset covering thousands of languages.

They found that languages that are computationally harder to process compensate for this increased complexity with greater efficiency: more complex languages need fewer symbols to encode the same message. The analyses also reveal that larger language communities tend to use more complex but more efficient languages.

Language models are computer algorithms that learn to process and generate language by analyzing large amounts of text. They excel at identifying patterns without relying on predefined rules, making them valuable tools for linguistic research. Importantly, not all models are the same: their internal architectures vary, shaping how they learn and process language. These differences allow researchers to compare languages in new ways and uncover insights into linguistic diversity.

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Researchers have devised a method that bridges the gap between simulations and real-world dynamics, paving the way for faster innovation in energy-efficient computing.

Magnetic Whirls: The Future of Data Storage?

Skyrmions are tiny magnetic whirlpools, ranging from nanometers to micrometers in size, that behave like particles and can be easily controlled with electrical currents.

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An international team of researchers, led by physicists from the University of Vienna, has achieved a breakthrough in data processing by employing an “inverse-design” approach. This method allows algorithms to configure a system based on desired functions, bypassing manual design and complex simulations. The result is a smart “universal” device that uses spin waves (“magnons”) to perform multiple data processing tasks with exceptional energy efficiency.

Published in Nature Electronics, this innovation marks a transformative advance in unconventional computing, with significant potential for next-generation telecommunications, computing, and neuromorphic systems.

Modern electronics face critical challenges, including high energy consumption and increasing design complexity. In this context, magnonics—the use of magnons, or quantized spin waves in —offers a promising alternative. Magnons enable efficient data transport and processing with minimal energy loss.

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Quantum field theory suggests that the very structure of the universe could change, altering cosmos as we know it. A new quantum machine might help probe this elusive phenomenon, while also helping improve quantum computers.

Nearly 50 years ago, quantum field theory researchers proposed that the universe exists in a “false vacuum”. This would mean that the stable appearance of the cosmos and its physical laws might be on the verge of collapse. The universe, according to this theory, could be transitioning to a “true vacuum” state.

The theory comes from predictions about the behaviour of the Higgs field associated with the Higgs boson, which Cosmos first looked at nearly a decade ago – the article is worth reading.

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