全球脈動
菇電腦來了?菌絲體做運算元件
隨著全球對運算能力的需求急劇攀升,科學家正尋找可提供高效但低能耗處理能力的新材料。近期《Times of India》報導指出,研究團隊正利用香菇(Lentinula edodes)菌絲體作為生物電子元件,試圖建構可模仿神經網路的生物計算系統,並將其視為未來低功耗人工智慧與數據處理的新路徑。

Scientists are searching for new materials capable of delivering energy-efficient processing without reliance on rare-earth minerals or complex semiconductor fabrication
As global computing demands surge, scientists are searching for new materials capable of delivering energy-efficient processing without reliance on rare-earth minerals or complex semiconductor fabrication. A recent article in The Times of India reports that researchers are exploring shiitake fungi (Lentinula edodes) as bioelectronic components mimicking neural behavior, pointing toward sustainable, low-cost paths for artificial intelligence and data processing.
重點摘要
Executive Summary / Lead隨著全球對運算能力的需求急劇攀升,科學家正尋找可提供高效但低能耗處理能力的新材料。近期《Times of India》報導指出,研究團隊正利用香菇(Lentinula edodes)菌絲體作為生物電子元件,試圖建構可模仿神經網路的生物計算系統,並將其視為未來低功耗人工智慧與數據處理的新路徑。
As global computing demands surge, scientists are searching for new materials capable of delivering energy-efficient processing without reliance on rare-earth minerals or complex semiconductor fabrication. A recent article in The Times
企業與產業背景
Company & Industry Context研究指出,在類神經運算(neuromorphic computing)與記憶阻元(memristor)元件的發展中,目前主要材料仍仰賴稀土金屬與能源密集型製程,而環境成本高昂。
of India reports that researchers are exploring shiitake fungi (Lentinula edodes) as bioelectronic components mimicking neural behavior, pointing toward sustainable, low-cost paths for artificial intelligence and data processing.
挑戰與重要性
Challenge / Why It Matters為此,科學家轉向生物系統,並發現菌絲體具備類似神經元的電信號傳輸與記憶行為。
In the realm of neuromorphic computing - designed to emulate the human brain’s neural architecture - traditional semiconductor-based memristors demand resource-intensive manufacturing. Researchers turned to unconventional biological
行動、方案與執行
Action / Solution / Implementation實驗中,香菇菌絲透過電極介面展現可重複的電阻變化,與神經突觸的“學習”機制相似。
systems and found that fungal mycelial networks display neuron-like electrical signaling and memory behavior. In one PLOS One study, shiitake-based memristors achieved up to 90 % accuracy at frequencies reaching 5.85 kHz.
證據、成果與影響
Evidence / Results / Impact其記憶效能可達約 90% 的準確度,頻率最高為 5.85 kHz。
Beyond their computing potential, fungi also offer remarkable resilience. Shiitake mycelia maintained memristive behavior after dehydration or exposure to radiation, making them viable for harsh-environment electronics and extraterrestrial applications where traditional materials falter.
產業與制度意涵
Industry & Institutional Implications此外,菌絲體的生物特性尤適用於極端環境。香菇菌絲在脫水後仍保有電訊號記憶功能,且對輻射及惡劣條件具較強韌性。報導指出,此類生物電子系統有望應用於太空電子裝置或惡劣場域,降低系統對稀有材料與高能耗製程的依賴。
Compared with conventional silicon devices, fungal electronics promise biodegradability, lower power consumption, and reduced environmental overhead. The research team cultivated conductive fungal networks on organic substrates such
SNN 編輯與揭露前證據基礎設施觀點
SNN Editorial / Pre-Disclosure Evidence Infrastructure Perspective菇類計算裝置與傳統半導體相比,具備生物可降解、低能耗、低環境負荷等優點。研究團隊在實驗中以有機培養基育菌──如法羅穀物與小麥胚芽──成功生成導電菌絲網絡,並用於模擬記憶與學習機制。團隊認為,當這類裝置優化並量產後,或可成為分散式、生態友善的智能裝置基底。
as farro seed and wheat germ, demonstrating the feasibility of growing computing components with minimal infrastructure. They argue that the transition from silicon to mycelium is not science fiction but a visible evolutionary path.
未來展望
Future Outlook雖然“菌電腦”尚處於驗證階段,但其潛力不容忽視。研究者寫道:「從硅基半導體轉向菌絲體並非科幻,而是一種可見的技術演進。」他們表示,下一步將著眼於縮小元件尺寸、提升性能穩定性並驗證實際應用場景。隨著數據處理需求持續增長,這樣的新材料可能為運算技術開創新篇章。
Although fungal computing remains in early experimental stages, its implications are significant. The next milestones will focus on refining cultivation techniques, enhancing stability, miniaturizing components, and validating real-world applications. As data processing demands and energy concerns rise, these biologically inspired materials could reshape the future of intelligent machines.
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