Artificial intelligence (AI) applications are spreading to more industries every day. However, the amount of energy used by these AI systems has become a significant issue. Modern deep neural networks require a considerable amount of computing power. This article examines five key hardware strategies for building energy-efficient AI acceleration: dedicated accelerator architectures, analog in-memory computing, […]
Sustainability
How can TinyML support sustainability on the edge?
Sustainability can be in the eye of the beholder. That’s certainly true for the question of how can TinyML (tiny machine learning) support sustainability on the edge? From a societal perspective, The United Nations Educational, Scientific and Cultural Organization (UNESCO) believes that TinyML can help to achieve its Sustainable Development Goals (SDGs). From an engineering […]
