What Do We Do When Machines Start to Think?

Phil and Stephen discuss a major breakthrough in artificial intelligence:

IBM’s resistive computing could massively accelerate AI — and get us closer to Asimov’s Positronic Brain

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:

Everything You Know About Artificial Intelligence is Wrong

Well, maybe not everything. But then for something this important, we don’t want to be wrong about anything, do we?

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