Researchers achieve the first silicon integrated ECRAM for a practical AI accelerator

The transformative changes brought by deep learning and artificial intelligence are accompanied by immense costs. For example, OpenAI's ChatGPT algorithm costs at least $100,000 every day to operate. This could be reduced with accelerators, or computer hardware designed to efficiently perform the specific operations of deep learning. However, such a device is only viable if it can be integrated with mainstream silicon-based computing hardware on the material level.

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