tinyML Talks: How to accelerate ML inference in silicon, while maintaining low-power consumption

Date

May 25, 2022

Location

Virtual

Contact us

Discussion

Schedule

Timezone: PDT

How to accelerate ML inference in silicon, while maintaining low-power consumption

George GEKOV, Application Engineer

Arm

George GEKOV, Application Engineer

Arm

George Gekov is a technologist at heart. He is part of Arm’s Machine Learning Team, working on the software for next generation Neural Processing Units. Previously, George was creating example IoT applications on low-power microcontrollers.

Schedule subject to change without notice.