The difference between AI and brain matter

“In popular science films, a nerve impulse is presented as a kind of signal that travels through nerve cells like wires. We perceive this as a biological analogy for an electrical impulse,” writes Oleksandr Kostikov in a new column for TechTalks. “In fact, this is not at all the case.”

In his new article, Kostikov explains how millions of years of evolution have favored brains that can tolerate errors and can deal with a huge amount of information in a very energy-efficient manner. In contrast, today’s AI algorithms gobble up energy and data in very inefficient volumes.

Kostikov explains the contrast between algorithms and brain matter, and draws conclusions on what the AI community can learn from nature.

Read the full article on TechTalks.

Read the prequel, “Symbiosis Instead of Evolution – A New Idea about the Nature of Human Intelligence.”

For more on AI research:

• DeepMind scientists: Reinforcement learning is enough for general AI

• The future of deep learning, according to its pioneers

• Can AI learn to reason about the world like children?