tinyML Asia 2021

tinyML Asia Technical Forum – Online LIVE

November 2-5, 2021

About tinyML Asia

Machine learning (ML) is at the forefront of providing artificial intelligence to all aspects of computing. It is the technology powering many of today’s advanced applications from image recognition to voice interfaces to self-driving vehicles and beyond. Many of these initial ML applications require significant computational resources most often found in cloud-scale data centers. To enable industry usage and adoption, it is therefore necessary to significantly reduce the power consumed to bring applications to end devices at the cloud edge (smartphones, wearables, vehicles, IoT devices, etc.) and to reduce the load on required data center resources.

tinyML Asia Technical Forum 2021 will be held on November 2-5, 2021 from 9 to 11:30 am (China Standard Time, UTC+8) each day. The online workshop will be focused on applications, end users, and supply chain for tiny ML from both a global and Asian perspective. Unlike other existing big industry and academic events that lack focus on low power ML solutions, tinyML events cover the entire ecosystem bringing industry and academia together.

Inaugural tinyML Asia in November 2020 was attended by more than 1800 people. As tinyML Community continues to grow fast, even bigger participation is expected at tinyML Asia 2021.

Contact us

Rosina HABERL

周小磊 / Xiaolei “Joe” ZHOU

Committee

Wei Xiao

Chair

NVIDIA

Evgeni GOUSEV

Qualcomm Research, USA

Mark CHEN

Himax Technologies

Sean KIM

LG Electronics CTO AI Lab

Joo-Young KIM

KAIST

Nicholas NICOLOUDIS

SAP

Eric PAN

Seeed Studio and Chaihuo makerspace

Alex SHANG

Arm

Chetan SINGH THAKUR

Indian Institute of Science (IISc)

Shouyi YIN 尹首

Tsinghua University

Yu WANG

Tsinghua University

Speakers

Conggang HU 见明 见之则明

Alibaba

DongSoo LEE 이동수

NAVER CLOVA

Yunxin LIU

Tsinghua University

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Ankit SHARMA

Steradian

Yihong WU

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, and at School of Artificial Intelligence, University of Chinese Academy of Sciences

Haochen XIE 謝 昊辰; コトイ コウシン

AnchorZ Inc.

Sponsors

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