Thursday, 30 March 2023
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.
Subscribe to:
Post Comments (Atom)
-
In this project, we will learn about the MCP2515 CAN Controller Module, how to interface the MCP2515 CAN Bus Controller with Arduino and fin...
-
Interfacing DC motor to the microcontroller is a very important concept in many industrial and robotic applications. By interfacing DC motor...
-
Do you need a MOSFET gate resistor? What value should it be? And should it go before or after the pulldown resistor? If you’re a bit impati...
No comments:
Post a Comment