Software-hardware co-design is at the heart to enable efficient TinyML system.
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. The online workshop will be focused on applications, end users, and supply chain for tiny ML from both a global and Asian perspective. TinyML Asia Technical Forum 2022 will be held on November 29-30, 2022 from 9 to 11:30 am (China Standard Time, UTC+8) each day. 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. Many of these initial ML applications require significant computational resources most often found in cloud-scale data centers.
It is the technology powering many of today’s advanced applications from image recognition to voice interfaces to self-driving vehicles and beyond. Machine learning (ML) is at the forefront of providing artificial intelligence to all aspects of computing.
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