Power efficiency of AlphaGo’s victory

So another decade maybe before it achieves power parity?

Lee Sedol used about 20 Watts of power to operate. By contrast, AlphaGo runs on a whopping 1920 CPUs and another 280 GPUs for an estimated power consumption of approximately 1 MW (200 W per CPU and 200 W per GPU). That’s 50,000 times as much power as the amount of power that Lee Sedol’s brain uses and the two are not quite evenly matched but it is close enough to use for comparison.

Source: Another Way Of Looking At Lee Sedol vs AlphaGo · Jacques Mattheij

The Road to Artifical Intelligence

Siri and Google Now are but a tiny drop in the ocean that is going to be AI. We’re quite a few years away, but we’ll get there eventually as hardware develops further and our understanding of the brain continues to grow:

But scientists aren’t just aiming for smaller. They’re trying to build machines that do things computer have never done before. No matter how sophisticated algorithms are, today’s machines can’t fetch your groceries or pick out a purse or a dress you might like. That requires a more advanced breed of image intelligence and an ability to store and recall pertinent information in a way that’s reminiscent of human attention and memory. If you can do that, the possibilities are almost endless.

via The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI | Wired Enterprise | Wired.com.