Machine learning and AI are tools for nanotechnology.

Machine learning and AI are the best in business when they create large-scale and very accurate models of the universe and other large structures. Nanotechnology consists large mass of physical and chemical variables. Nanotechnology consists of many bonds and chemical compounds that can exist or form only in a certain chemical environment and physical environment. 

The AI can use many types of sources to find out conditions where some chemical compound can form. It can search the stellar and exoplanet databases. 

If the mass spectrometers see some compounds. Near some stars, the system can model things like energy levels that the compounds get from the star. 

But then we can think about the nanomaterials and their "cousins" the quantum materials. Those things can make many things possible, that were been like Sci-Fi before this. The material research units can use mesh networks to combine results from many measurement and production units. AI and networks are tools that can combine many production units into one entirety. 

The system can drive large data mass very fast and effectively. By beginning the drive in multiple points which means the process is more effective than ever. 

"In Caltech’s new fingerprint technique, a single molecule adsorbs onto the phononic crystal resonator device. Then scientists measure the frequency shifts of four different vibrational modes of the device, allowing them to create a four-dimensional fingerprint vector—a unique identifier that can then be used to determine the mass of the molecule. Credit: Nunn/Caltech" (ScitechDaily, Machine Learning Meets Nanotech: Caltech’s Breakthrough in Mass Spectrometry)

 A laboratory that uses network-based AI is the most effective research tool in the 

The system might have different chemical and physical conditions in every reaction chamber. That allows the system to follow the reactions. When some reaction chamber reaches the wanted results, the system can scale those conditions to all other chambers. 

The system can handle multiple measurement points at the same time. AI-based material research units require highly advanced observation and manipulation systems. 

Those systems are things like,  attosecond lasers,  scanning photon microscopes, and mass spectrometers. Those systems can search for the formation of chemical bonds. 

Nanomaterials are new tools for stealth- and computer technology. Those stealth materials are dummy or passive materials. Intelligent materials. That involves microchips and locally controlled abilities. It makes it possible to create more effective things than those passive materials. The microchip network makes it possible to control those materials with very high accuracy. 

When we talk about a thing called cyber metals. That technology makes it possible to create the type of machines. That we see in Terminator movies we talk about one type of drone swarm. 

In that kind of drone swarm the robots touch each other with things like nano-wires. Those wires touch to potholes of other nanorobot shells. Those entireties require new types of nanotechnical processors that can operate as networks. 

https://scitechdaily.com/machine-learning-meets-nanotech-caltechs-breakthrough-in-mass-spectrometry/