May 27, 2020
What is Tiny AI?
Listed as one of MIT Technology Review’s 10 Breakthrough Technologies of 2020, this version of AI is set to make a real difference in solving important problems. But what exactly is it and what will its impact be?
Tiny AI, also known as Tiny ML in reference to machine learning (ML), is currently a big focus for AI researchers. The aim is to reduce the size of artificial intelligence (AI) algorithms; especially those that use large quantities of data and computational power, for example natural language processing (NLP) models like Google’s BERT. According to the MIT Technology Review, the larger version of BERT has 340 million data parameters and training it just once costs enough electricity to power a US household for 50 days.
Why do we need Tiny AI?
“Tiny AI involves building algorithms into hardware at the periphery of a network, such as the sensors themselves,” explains Andrew White, a UK and European patent attorney at IP firm Mathys & Squire. “The idea is that they can be integrated into hardware to perform data analytics at low power, avoiding the need to send data back to the cloud for processing.” This improves latency as well as power consumption and enables Tiny AI to run on devices like our mobile phones, increasing their functionality but also improving our privacy as the data stays on the device.
Click here to read the full article, written by IT Pro in May 2020.
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