Could Brain-Like Computers Be a Game Changer in the Tech Industry?

Modern computing’s demand for electricity is growing at an alarming pace. By 2026, energy consumption by data centers, artificial intelligence (AI), and cryptocurrency could potentially double compared to 2022 levels, according to a report from the International Energy Agency (IEA). The IEA estimates that by 2026, these sectors’ energy usage could be equivalent to Japan’s annual energy consumption.

Companies like Nvidia, which produces chips for most AI applications today, are working on developing more energy-efficient hardware. However, another approach could be to create computers with a fundamentally different, more energy-efficient architecture.

Some companies are exploring this path by mimicking the brain, an organ that performs more operations faster than conventional computers while using only a fraction of the power. Neuromorphic computing involves electronic devices imitating neurons and synapses, interconnected similarly to the brain’s electrical network.

This concept isn’t new; researchers have been investigating it since the 1980s. However, the rising energy demands of the AI revolution are increasing the urgency to bring this technology into practical use. Current neuromorphic systems mainly serve as research tools, but proponents argue they could greatly enhance energy efficiency.

Major companies like Intel and IBM, along with s

[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.