蝶にヒントを得たAI技術が空を飛ぶ(Butterfly-inspired AI technology takes flight)

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2024-04-01 ペンシルベニア州立大学(PennState)

ペンシルベニア州立大学の研究チームは、ヘリコニウスチョウの交尾を模倣し、2D材料を使用したマルチセンサーAIプラットフォームを開発しました。このプラットフォームは、他のAI技術よりも高度でエネルギー消費が少なく、視覚的なキューと化学的なキューを同時に処理することが可能です。これにより、ロボット工学や危険を検出するスマートセンサーなど、さまざまな領域でのAIの可能性が広がると期待されます。

<関連情報>

蝶に着想を得た、視覚と化学的手がかりを統合する多感覚ニューロモーフィック・プラットフォーム A Butterfly-Inspired Multisensory Neuromorphic Platform for Integration of Visual and Chemical Cues

Yikai Zheng, Subir Ghosh, Saptarshi Das
Advanced Materials  Published: 09 December 2023
DOI:https://doi.org/10.1002/adma.202307380

Details are in the caption following the image

Abstract

Unisensory cues are often insufficient for animals to effectively engage in foraging, mating, and predatory activities. In contrast, integration of cues collected from multiple sensory organs enhances the overall perceptual experience and thereby facilitates better decision-making. Despite the importance of multisensory integration in animals, the field of artificial intelligence (AI) and neuromorphic computing has primarily focused on processing unisensory information. This lack of emphasis on multisensory integration can be attributed to the absence of a miniaturized hardware platform capable of co-locating multiple sensing modalities and enabling in-sensor and near-sensor processing. In this study, this limitation is addressed by utilizing the chemo-sensing properties of graphene and the photo-sensing capability of monolayer molybdenum disulfide (MoS2) to create a multisensory platform for visuochemical integration. Additionally, the in-memory-compute capability of MoS2 memtransistors is leveraged to develop neural circuits that facilitate multisensory decision-making. The visuochemical integration platform is inspired by intricate courtship of Heliconius butterflies, where female species rely on the integration of visual cues (such as wing color) and chemical cues (such as pheromones) generated by the male butterflies for mate selection. The butterfly-inspired visuochemical integration platform has significant implications in both robotics and the advancement of neuromorphic computing, going beyond unisensory intelligence and information processing.

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