{"id":241594,"date":"2026-05-08T07:30:00","date_gmt":"2026-05-08T11:30:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/08\/the-human-brain-works-with-roughly-the-power-of-a-computer-monitor-and-that-tiny-energy-bill-may-reveal-why-artificial-intelligence-still-has-a-huge-problem\/"},"modified":"2026-05-08T08:10:10","modified_gmt":"2026-05-08T12:10:10","slug":"the-human-brain-works-with-roughly-the-power-of-a-computer-monitor-and-that-tiny-energy-bill-may-reveal-why-artificial-intelligence-still-has-a-huge-problem","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/08\/the-human-brain-works-with-roughly-the-power-of-a-computer-monitor-and-that-tiny-energy-bill-may-reveal-why-artificial-intelligence-still-has-a-huge-problem\/","title":{"rendered":"The human brain works with roughly the power of a computer monitor, and that tiny energy bill may reveal why artificial intelligence still has a huge problem"},"content":{"rendered":"

The human brain works with roughly the power of a computer monitor, and that tiny energy bill may reveal why artificial intelligence still has a huge problem<\/a><\/p>\n

https:\/\/www.ecoticias.com\/en\/the-human-brain-works-with-roughly-the-power-of-a-computer-monitor-and-that-tiny-energy-bill-may-reveal-why-artificial-intelligence-still-has-a-huge-problem\/31822\/<\/a><\/p>\n

Publish Date: 2026-05-08 07:30:00<\/a><\/p>\n

Source Domain: www.ecoticias.com<\/a><\/p>\n

You are reading this on a device that needs charging, updates, and a steady stream of electricity from the wall. Meanwhile, your brain is handling vision, memory, and decision-making on a power budget researchers often put at roughly 20 watts.<\/p>\n

A March 15, 2023, analysis argues that this efficiency gap is not just a fun comparison. It is a practical clue for the future of artificial intelligence, especially as the energy footprint of computing becomes harder to ignore. What if the next leap comes from using less power, not more?<\/p>\n

The 20-watt benchmark<\/h2>\n

In that analysis, research scientist Advait Madhavan wrote that the brain can deliver the equivalent of an exaflop, meaning about a quintillion math-like operations each second, while using only 20 watts. <\/p>\n

He also compared that number to the power of a typical computer monitor, then contrasted it with the Frontier supercomputer at Oak Ridge National Laboratory, which can reach exascale performance but needs about 20 megawatts, roughly a million times more power.<\/p>\n

The U.S. Department of Energy has said its exascale systems were designed to operate within about 20 megawatts per exaflop, which shows how tightly performance is tied to power. That kind of constraint is why researchers pay attention when biology does so much with so little.<\/p>\n

Why the brain stays efficient<\/h2>\n

A U.S. National Science Foundation feature explains another piece of the puzzle. Even though the brain is only about 2 percent of body weight, it accounts for about 20 percent of the body\u2019s energy use in adults, and most tasks add only a small extra cost on top of that steady baseline.<\/p>\n

BrainFacts, a public education site run by the Society for Neuroscience, points to a key strategy. Most neurons stay relatively quiet for long stretches and only smaller groups ramp up when needed, like a city that turns on just the lights it needs. Less waste, same results.<\/p>\n

AI is pushing electricity demand<\/h2>\n

This matters because AI does…<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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