First AI Chip That Learns and Infers
The first AI chip that learns and infers has been developed, combining FeCAPs and memristors for efficient, adaptive edge computing.
According to Robin Mitchell, one of the main obstacles to progress in artificial intelligence is not algorithmic, but physical.
The challenge is to run AI systems efficiently on hardware, as current approaches require large amounts of specialized silicon, high energy consumption, and complex cooling systems.
This approach is anything but sustainable, and if AI continues to scale at its current pace, could see serious resource shortages.
- Data centers already strain power grids.
- The amount of heat generated requires industrial-scale cooling, often supported by water-intensive processes.
Training remains the most energy-intensive of all AI processes.
Author's summary: AI chip learns and infers efficiently.
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