Ambient Scientific released its initial Digital Analog (DigAn) AI technology with demonstration of its first DigAn AI processor chip at the Edge AI Summit.
DigAn AI is an advanced version of Analog AI technology that provides ultra-high performance and efficiency of Analog AI with implementation and commercial advantages of Digital chips. The company also announced low-power on-device AI solution for ‘Wake on Word’ applications.
Ambient Scientific’s DigAn AI Processor is built with multiple fundamental grass root level innovations. These include Analog Matrix Compute Engine using DigAn technology, that performs blazingly fast arithmetic computations with improved power efficiency, ultra-low power embedded SRAM for critical storage, and ultra-low power on-chip interconnect technology that enables massive parallel processing.
Ambient’s DigAn AI Processor computes an entire layer of neurons in a single clock cycle using custom Analog techniques, a task that takes several hundreds or even thousands of clock cycles in traditional implementations. However, DigAn technology uses standard digital transistors to implement its analog functions.
Experts agree that Analog is a great fit for AI computing. However, prior implementations had severe limitations in accuracy and computing range – two important parameters for optimal AI solution. Ambient has eliminated these limitations.
While prior implementations have struggled to achieve 8-bit accuracy, Ambient’s DigAn (Digital Analog) technology can achieve 32-bit accuracy. This is 16 million times more accurate in computer language.
