Shiitake Mushroom Computer Memory – ScienceAlert
- This article discusses the exciting development of using mushrooms - specifically,the mycelial networks of shiitake mushrooms - as components in computers.
- * The Goal: Researchers are striving to create computers that function more like the human brain, requiring components that mimic brain functions.
- In essence, the research suggests that mushrooms could be a viable, and perhaps energy-efficient, building block for the next generation of computers, moving closer to brain-like computing systems.
Summary of the Article: Mushroom-Based Computing
This article discusses the exciting development of using mushrooms – specifically,the mycelial networks of shiitake mushrooms – as components in computers. Here’s a breakdown of the key points:
* The Goal: Researchers are striving to create computers that function more like the human brain, requiring components that mimic brain functions. A key component is the memristor, which acts like a synapse, controlling information flow.
* Why Mushrooms? Mycelial networks naturally share similarities with neural networks in their structure and how they transmit information (using electrical and chemical signals).
* Shiitake’s Advantages: Shiitake mushrooms were chosen for their robustness, resilience, and resistance to stressors like radiation.
* The Process: Researchers grew shiitake mycelium in petri dishes, dried the samples, and then connected them to a custom-built circuit. They then tested the mycelium’s ability to conduct and respond to electrical currents.
* Key Finding: different parts of the mycelium exhibited different electrical properties, leading to varying performance based on voltage and connectivity. This demonstrates the potential for mushrooms to be used as functional computational elements.
* Potential Benefit: Mushrooms could offer a important advantage in terms of power consumption, notably for standby or low-use situations.
In essence, the research suggests that mushrooms could be a viable, and perhaps energy-efficient, building block for the next generation of computers, moving closer to brain-like computing systems.
