What will AI architecture look like in the next decade?
In the next decade, AI architecture is expected to become more decentralized, leveraging edge computing and federated learning.
How will this impact data privacy?
Decentralized AI can enhance data privacy by processing data locally, reducing the need to transfer sensitive information to central servers.
What are the challenges we might face with this shift?
Challenges include ensuring interoperability between systems, managing increased complexity, and addressing security vulnerabilities.
Will AI architecture become more accessible for smaller companies?
Yes, as open-source frameworks and cloud-based solutions evolve, smaller companies will have greater access to advanced AI tools.
What role will quantum computing play in AI architecture?
Quantum computing could revolutionize AI architecture by enabling faster processing and solving complex problems that are currently infeasible.
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