Akriano AI/ML blueprint

BP that address the ML/AI

The AI Edge Blueprint Family

With this blueprint, teachers and school authorities could conduct a full evaluation of the overall class and the concentration of individual students, helping to fully understand the real time teaching situation. According to the concentration data of each course, teachers and school authorities can conduct knowledge test and strengthen.

Small write up about the BP (not more than 2 lines)

The AI Edge Blueprint mainly focuses on establishing an open source MEC platform combined with AI capacities at the Edge, which could be used for safety, security, and surveillance sectors.

A picture of the architecture

Who is involved?

zhanghechun@baidu.com

kongdechao@baidu.com

chengang13@baidu.com

xuzhenhua02@baidu.com

Tina.Tsou@arm.com

yipan.deng@intel.com

forest.zhao@intel.com

wenhui@gwmail.gwu.edu

raviraj.mahatme@arm.com

BP that address the ML/AI

ELIOT AIoT in Smart Office Blueprint

Small write up about the BP ( not more than 2 lines)

The ELIOT AIoT in Smart Office Blueprint combines IOT devices, edge computing gateways and cloud services with AI training and machine learning to address problems in smart office scenarios.

A picture of the architecture

Who is involved?

jereliu@tencent.com

herbertzhao@tencent.com

BP that address the ML/AI

AI/ML and AR/VR applications at Edge

Cloudlet stack is designed for low latency application like augmented reality gaming and machine learning workloads running as clusters across distributed sites within telco operators edge. 

A picture of the architecture

Who is involved?

Vikram Siwach  Sukhdev Kapur