|
 An AI-based system succeeds in planning and carrying out real-world chemistry experiments, showing the potential to help human scientists make more discoveries, faster.
Supported by the U.S. National Science Foundation Centers for Chemical Innovation, an artificial intelligence-driven system was able to autonomously learn about certain Nobel Prize-winning chemical reactions and design a successful laboratory procedure to make them.
"This is the first time that a non-organic intelligence planned, designed and executed this complex reaction that was invented by humans," says Carnegie Mellon University chemist and chemical engineer Gabe Gomes, who led the research team that assembled and tested the AI-based system. They dubbed their creation "Coscientist."
Published today in the journal Nature, the demonstrated abilities of Coscientist show the potential for humans to productively use AI to increase the pace and number of scientific discoveries, as well as improve the replicability and reliability of experimental results.
|
|
 How does AI affect our daily lives? And how does it work? Michael Littman, director of NSF's Information and Intelligent Systems Division, takes a look at where the field of artificial intelligence has been and where it’s going.
|
|
 From neural networks to workforce development, NSF has invested in foundational artificial intelligence research since the early 1960s, setting the stage for today’s understanding and use of AI technologies.
|
|
|
Did someone forward this message to you?
You can subscribe to get NSF news and updates directly to your inbox.
|
|
|
|
