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Biological computers could use far less energy than current technology by working more slowly
- Redesigning computers may be the key to high-speed computing that doesn't rapidly consume energy.
- The root of the issue lies in the Landauer limit, which states that all computational tasks must expend 10-21 joules of energy.
- To complete a computational task at the Landauer limit, it must be carried out infinitely slowly.
- Operating at such a low energy level would necessarily eliminate concerns regarding electricity consumed by computing.
- To achieve a biocomputing solution, it may be necessary to adopt a system that relies on biological motor proteins.
- In a biocomputing network, a single computational task is split among thousands of tiny machines called biofilaments.
- Each biofilament might be as much as a million times slower than a transistor, but it exactly matches the energy output the task demands.
- Small biocomputers have been built by researchers, but scaling the technology remains an obstacle.
- Experts suggest integrating with current technology and precisely controlling individual biofilaments could solve these problems.
- Alternatively, neuromorphic computing uses novel computer hardware to emulate highly complex interconnections between human brain cells.
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