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Artificial intelligence in nanotechnology.

G M Sacha¹, P Varona

¹Grupo de Neurocomputación Biológica. Escuela Politécnica Superior, Universidad Autónoma de Madrid, Cantoblanco, Madrid, E-28049, Spain.

|October 15, 2013

Summary

Artificial intelligence (AI) is increasingly used in nanotechnology research for applications like microscopy, nanosystems study, and nanodevice design. This convergence promises advancements in computing, bioengineering, and information sciences.

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Area of Science:

Nanotechnology
Artificial Intelligence
Information Sciences

Background:

The integration of artificial intelligence (AI) tools in nanotechnology research has significantly increased over the last decade.
AI applications span diverse areas within nanoscience and nanotechnology.

Purpose of the Study:

To review the current applications of AI in nanotechnology.
To discuss future trends and perspectives in AI-driven nanotechnology.
To highlight the synergistic potential between AI and nanotechnology.

Main Methods:

Review of AI applications in scanning probe microscopy interpretation.
Analysis of AI in biological nanosystems research.
Examination of AI for nanoscale material property classification.
Exploration of AI in theoretical nanoscience and nanodevice design.

Main Results:

AI tools are effectively employed across various nanotechnology domains, including microscopy, biological studies, material classification, and nanodevice engineering.
Current research trends focus on developing nanocomputing hardware to enhance AI capabilities.
The synergy between AI and nanotechnology is driving innovation in related fields.

Conclusions:

The convergence of AI and nanotechnology is a key driver for future technological developments.
This integration will significantly impact information sciences, necessitating new computer architectures and data representations.
Future advancements are expected in hybrid technologies, bioengineering, and neuroscience.