www.renesas.com, Jun. 01, 2024 –
Abstract
Artificial Intelligence (AI) is transforming every aspect of life. It is enhancing quality in industrial applications, enabling smart home systems, monitoring our safety as we work and play. Advances in technology have allowed us to run complex machine learning algorithms to tackle unique problems allowing those to be implemented also on embedded devices used in our daily life in home and industry. To enable scalable intelligence at all levels of the network, a decentralized intelligence architecture is needed. This means running cloud-independent inference engines on power-efficient or tiny computers within the edge and endpoints.
In this white paper, we will address the trends driving a decentralized intelligence model, the key application categories benefitting from AI, and how Renesas' approach simplifies design and deployment for AI / ML developers to help surmount commonly encountered challenges.
Overview
Today there isn't any doubt that AI is changing the aspects of our everyday life both on and offline mostly in the background. The AIoT or Artificial Intelligence of Things is recognized as a transformational megatrend driven by four underlying market dynamics which include technology convergence, decentralized intelligence, a new design mindset, and an explosion of data.
Technology convergence – IoT, AI, 5G maturing at roughly the same time
Decentralized intelligence – Tremendous benefits of a distributed intelligence model
New design mindset – AI disrupting system design approaches
Data explosion – Endpoint data creation expected to grow 85% from 2017-2025*