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Congratulations to TetraMem Inc’s team and their research collaborators on the publication of their research article "Thousands of conductance levels in memristors integrated on CMOS" in the prestigious scientific journal Nature . This groundbreaking research introduces the TetraMem computing memristor, a physical device that is a critical component of TetraMem's analog in-memory computing accelerator for AI/ML.

Read the full article at Nature.com here:
https://rdcu.be/c8GWo

The TetraMem computing memristor enables TetraMem's proprietary architecture to significantly reduce latency and power consumption for AI inference for IoT and edge sensors and devices. With thousands of conductance levels, this memristor provides unprecedented analog computing capabilities that can greatly enhance the performance of AI/ML applications.

This research has the potential to transform the field of AI and drive significant advancements in the development of IoT and edge devices.