Robots that can automatically recognize and track specific odors could have a wide range of valuable applications. For instance, they could help to identify the sources of harmful chemical substances in the air after hazardous accidents at power plants, explosions, or other disasters.
Researchers have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with which this information from scientific publications can be automatically fed into databases. Until now, this had to be done literally by hand and…
Researchers have developed AI-driven mobile robots that can carry out chemical synthesis research with extraordinary efficiency. Researchers show how mobile robots that use AI logic to make decisions were able to perform exploratory chemistry research tasks to the same level as humans, but much faster.