In recent years, quantum computing has emerged as a groundbreaking technology with the potential to revolutionize various fields, including artificial intelligence (AI). AI has already made significant strides, but there are limitations to its capabilities, especially when it comes to solving complex problems and achieving true general intelligence. In this article, we will explore the potential of quantum computing to enhance the power of AI, allowing for more advanced computations and potentially enabling the development of true general AI.
To comprehend how quantum computing can enhance AI, it is essential to establish a foundation of understanding regarding the relationship between the two domains. AI refers to the development of intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making. At its core, AI relies on the processing power of computers to analyze vast amounts of data and extract patterns and insights to make informed decisions or predictions.
source: The Power of Quantum Computing in Advancing Artificial Intelligence by Damien Soule - https://www.linkedin.com/pulse/power-quantum-computing-advancing-artificial-damien-soule
1. Explainability and Trust: Current AI models are often complex "black boxes" where it's difficult to understand how they arrive at their decisions. This lack of explainability makes it hard to trust them in critical applications within a complex cyberspace.
2. Interconnectedness and Interoperability: Our current AI applications are often siloed, meaning they don't communicate or share data effectively. This limits their ability to collaborate and learn from each other, hindering the creation of a truly "smart" cyberspace.
3. Human-AI Interaction: While AI can excel at specific tasks, it still struggles with tasks requiring common sense or social intelligence. A truly smart cyberspace needs seamless and intuitive interaction between humans and AI.
4. Safe and Secure Learning: Ultra-smart cyberspace will rely on AI constantly learning and adapting. However, current AI systems are vulnerable to manipulation or biases in their training data. This raises concerns about safety and security in a hyper-connected environment.
5. Resource Management and Efficiency: While advancements in computation are happening, efficiently utilizing these resources for complex AI tasks within a vast cyberspace remains a challenge.
While Quantum Computing holds promise for boosting AI's capabilities, it's not a silver bullet. Addressing these missing links will be crucial in bridging the gap between Applied AI and the vision of Ultra Smart Cyberspace.
Eduard Babulak, Anurag Mukati
The problem with AI is its inability to understand and inherit limitations, such as exposure to the dangers of an information explosion.
The resolution could be found in the development of artificial subjective systems, the development of which I propose.
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