Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866911247312617472 |
|---|---|
| author | Mershin, Andreas Stefanou, Nikolas Rotteveel, Adan Kung, Matthew Kung, George Dan, Alexandru Kivell, Howard Okulova, Zoia Kountouri, Zoi Liang, Paul Pu |
| author_facet | Mershin, Andreas Stefanou, Nikolas Rotteveel, Adan Kung, Matthew Kung, George Dan, Alexandru Kivell, Howard Okulova, Zoia Kountouri, Zoi Liang, Paul Pu |
| contents | Machine olfaction is rapidly emerging as a transformative capability, with applications spanning non-invasive medical diagnostics, industrial monitoring, agriculture, and security and defense. Recent advances in stabilizing mammalian olfactory receptors and integrating them into biophotonic and bioelectronic systems have enabled detection at near single-molecule resolution thus placing machines on par with trained detection dogs. As this technology converges with multimodal AI and distributed sensor networks imbued with embedded AI, it introduces a new, biochemical layer to a sensing ecosystem currently dominated by machine vision and audition. This review and industry roadmap surveys the scientific foundations, technological frontiers, and strategic applications of machine olfaction making the case that we are currently witnessing the rise of a new industry that brings with it a global chemosensory infrastructure. We cover exemplary industrial, military and consumer applications and address some of the ethical and legal concerns arising. We find that machine olfaction is poised to bring forth a planet-wide molecular awareness tech layer with the potential of spawning vast emerging markets in health, security, and environmental sensing via scent. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_19660 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry Mershin, Andreas Stefanou, Nikolas Rotteveel, Adan Kung, Matthew Kung, George Dan, Alexandru Kivell, Howard Okulova, Zoia Kountouri, Zoi Liang, Paul Pu Emerging Technologies Biomolecules Machine olfaction is rapidly emerging as a transformative capability, with applications spanning non-invasive medical diagnostics, industrial monitoring, agriculture, and security and defense. Recent advances in stabilizing mammalian olfactory receptors and integrating them into biophotonic and bioelectronic systems have enabled detection at near single-molecule resolution thus placing machines on par with trained detection dogs. As this technology converges with multimodal AI and distributed sensor networks imbued with embedded AI, it introduces a new, biochemical layer to a sensing ecosystem currently dominated by machine vision and audition. This review and industry roadmap surveys the scientific foundations, technological frontiers, and strategic applications of machine olfaction making the case that we are currently witnessing the rise of a new industry that brings with it a global chemosensory infrastructure. We cover exemplary industrial, military and consumer applications and address some of the ethical and legal concerns arising. We find that machine olfaction is poised to bring forth a planet-wide molecular awareness tech layer with the potential of spawning vast emerging markets in health, security, and environmental sensing via scent. |
| title | Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry |
| topic | Emerging Technologies Biomolecules |
| url | https://arxiv.org/abs/2510.19660 |