メカニカル・コンピューティング
Hiromi Yasuda1, Philip R Buskohl2, Andrew Gillman2
1Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA.
Nature
|October 7, 2021
まとめ
研究者は 材料科学とロボット工学を組み合わせた 機械的コンピューティングシステムを研究しています これらの新しいシステムは,情報処理のための新しいパラダイムを提供し,環境に適応することによって,電子コンピューティングを潜在的に拡張します.
科学分野:
- 材料科学
- ロボット
- コンピュータ工学
背景:
- 機械的なメカニズムは 電子計算より前の情報処理の長い歴史を持っています
- 電子コンピューティングは小型化と統合の利点により優位である.
- 非従来のコンピューティングアプローチは,情報処理と材料科学とロボット工学を統合します.
研究 の 目的:
- 情報の処理のための機械的メカニズムと非線形性の使用について議論する.
- 分散型情報処理ネットワークとして適応可能な材料と構造の枠組みを提案する.
- 情報処理を固有の物質特性として探求する.
主な方法:
- 機械システム内のデジタルロジックを抽象化することに焦点を当てます.
- 機械的コンピューティングシステムと伝統的な電子コンピューティングの違いを分析する.
- 機械コンピューティングにおける課題と機会の特定
主要な成果:
- 機械的なシステムは 非線形性を活用して情報を処理できます
- 適応可能な材料は分散型情報処理ネットワークを形成します.
- 情報処理は物質的な性質として概念化することができます.
結論:
- 機械コンピューティングは 電子コンピューティングの 実行可能な代替手段であり 拡張手段である.
- このアプローチは物理システムに コンピューティングを統合するための 新たな道を開きます
- 課題を克服し,機械コンピューティングの機会を認識するには,さらなる研究が必要です.
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