From the linked story:
Using chips densely packed with these RPU tiles, the researchers claim that, once built, a resistive-computing-based AI system can achieve performance improvements of up to 30,000 times compared with current architectures, all with a power efficiency of 84,000 GigaOps per-second per-watt. If this becomes a reality, we could be on our way to realizing Isaac Asimov’s fantasy vision of the robotic Positronic brain.
And it’s not just Asimov’s robots — Data on Star Trek also had a positronic brain…
If true AI is on its way, we better start unlearning some of our misconceptions about it. Luckily, George Dvorsky is on the case:
Well, maybe not everything. But then for something this important, we don’t want to be wrong about anything, do we?