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.
Asia 2023
November 16, 2023 Sky 31 Convention, 300, Olympic-ro, Songpa-gu, Seoul 05551, Republic of Korea
https://www.sky31convention.com/main/skyMain.do
