Monday, 11 January 2021
Engineers create hybrid chips with processors and memory to run AI on battery-powered devices
Transactions between processors and memory can consume 95 percent of the energy needed to do machine learning and AI, which severely limits battery life. A team of engineers has designed a system that can run AI tasks faster, and with less energy, by harnessing eight hybrid chips, each with its own data processor built right next to its own memory storage.
Subscribe to:
Post Comments (Atom)
Polymer research shows potential replacement for common superglues with a reusable and biodegradable alternative
Researchers have developed an adhesive polymer that is stronger than current commercially available options while also being biodegradable, ...
-
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...
-
Smart LCD with Automatic Brightness Adjusting Using Arduino and LDR Sensor Here is a simple Arduino project that focuses on adjusting the b...
No comments:
Post a Comment