@Diogenese @Fact Finder @IndepthDiver and anyone else with a sound technical knowledge...........Is this anything to do with us?
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A four-megabit nvCIM macro for edge AI devices
Edge AI devices, systems that combine artificial intelligence (AI) and edge computing techniques, are becoming an essential part of the rapidly growing Internet of Things (IoT) ecosystem. These devices include smart speakers, smart phones, robots, self-driven cars, drones and data-processing...techxplore-com.cdn.ampproject.org
Hi MC,
This is ReRAM/Memristor
"NvCIM may help to overcome the memory-wall bottleneck for battery-powered AI edge devices by allowing analog operations for vector-matrix multiplication, which is the major computing operation in the neural network during the inference stage."
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The new 4Mb nvCIM architecture created by the researchers is based on 22-nm-foundry resistive random-access memory (ReRAM) devices, also known as memristors.
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To reduce their device's computing latency, the researchers built a calibrated and weighted current-to-voltage stacking circuit with a 2-bit output and full-range voltage-mode sense amplifier. This circuit also ensures a good readout yield for the most significant bits (MSBs), reducing the architecture's overall readout energy.