Monday, August 7, 2023
Hype of AI Cycle 2023
AI is currently in the trough of disillusionment. This is likely due to the fact that many early AI applications have failed to live up to expectations. However, there are a number of promising AI technologies that are starting to mature and show real-world potential. These include:
📌 Response AI: This technology uses AI to automate customer service tasks, such as answering questions and providing support.
📌 Traditional AI: is not as energy-efficient or scalable as neuromorphic computing, which is a technology that draws inspiration from how the human brain functions.
📌 Generative AI: This technology can be used to create new content, such as images, text, and music. The Hype Cycle also depicts how AI is expected to reach a plateau of productivity in the next 5–10 years.
This means that AI will become a mature technology that is widely adopted and used in a variety of applications. These technologies are expected to reach a plateau of productivity in the next 5–10 years, which will lead to widespread adoption and use of AI in a variety of applications.
📌 Response AI: This technology uses AI to automate customer service tasks, such as answering questions and providing support.
📌 Traditional AI: is not as energy-efficient or scalable as neuromorphic computing, which is a technology that draws inspiration from how the human brain functions.
📌 Generative AI: This technology can be used to create new content, such as images, text, and music. The Hype Cycle also depicts how AI is expected to reach a plateau of productivity in the next 5–10 years.
This means that AI will become a mature technology that is widely adopted and used in a variety of applications. These technologies are expected to reach a plateau of productivity in the next 5–10 years, which will lead to widespread adoption and use of AI in a variety of applications.
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