How Artificial Intelligence is Revolutionizing Science, Medicine, and Technology at Argonne National Laboratory

by time news

2024-03-23 01:50:30

Artificial intelligence, especially through machine learning, is revolutionizing the way we solve complex problems in various fields including science, medicine and technology. Facilities like Argonne National Laboratory are leading these advances, using artificial intelligence to predict complex system behaviors, improve material selection, and help with global challenges like disease and climate change.

What is artificial intelligence?

Artificial intelligence (AI) is the collective term for computer technologies and techniques that help solve complex problems by imitating the brain’s ability to learn.

Artificial intelligence helps computers recognize patterns hidden in large amounts of information, solve problems and adapt to changes in processes as they happen, much faster than humans can.

In this Science 101: What is Artificial Intelligence video, Argonne National Laboratory scientists Taylor Childers and Bethany Loesch discuss artificial intelligence—the computer technologies and techniques that help solve complex problems by imitating the brain’s ability to learn. Researchers are using artificial intelligence to get better and faster at tackling the toughest problems in science, medicine and technology, and to help drive discovery in these fields. This can range from helping us understand how COVID 19 attacks the human body to finding ways to manage congestion.

Researchers are using artificial intelligence to get better and faster at tackling the toughest problems in science, medicine and technology, and to help drive discovery in these fields. This can range from helping us understand how COVID-19 attacks the human body to finding ways to manage traffic jams.

Many Department of Energy (DOE) facilities, such as Argonne National Laboratory, are helping to develop some of the most advanced AI technologies. Today, they are used in research fields ranging from chemistry to environmental and manufacturing sciences to medicine and space.

Artificial intelligence is used to model complex systems, such as engines or weather, and predict what might happen if certain parts of those systems change—for example, if a different fuel is used or temperatures rise steadily.

But there are many more uses for AI.

A key tool in Argonne’s AI toolbox is a type of technique called machine learning that gets smarter or more accurate the more data it gets to learn from. Machine learning is very helpful in identifying specific objects hidden within a larger, denser image.

In a popular example, a machine learning model was trained to recognize the main features of cats and dogs by showing it many images. Later the model was able to identify cats and dogs from pictures of mixed animals.

Similar machine learning models can help scientists identify, for example, one type of galaxy from another when they receive object-laden images from space telescopes.

Machine learning is just one of many AI techniques that help us learn faster and more accurately. They can help choose the right molecule or chemical for a new material and may one day guide new experiments themselves.

Argonne has worked with many organizations around the world to become a leader in the use and development of artificial intelligence, this includes applying AI to:

  • Improve battery life for cars and energy.
  • Build better climate models that can predict wildfires, hurricanes and other disasters, and help our communities and utilities protect against them.
  • Find those parts of viruses that attack our cells and develop drugs to fight them.

Credit: Argonne National Laboratory

What is artificial intelligence?

Analyzing large and complex data to perform human tasks at computer speeds.

Artificial intelligence (AI) is now part of our everyday lives, helping to simplify basic tasks, such as voice recognition, content recommendations or image searches based on people or the objects they contain. Scientists are using artificial intelligence in similar ways to advance our understanding of the world around us. This can help them analyze mountains of data faster, providing better solutions. Different AI techniques are used in many fields of research, from materials science and medicine to climate change and the cosmos.

For example, we can train AI to recognize complex patterns by viewing many different examples. Researchers can use this ability to find new and improved materials for things like solar cells or medicine by training artificial intelligence on all known materials for that application. So AI can help researchers zero in on other promising materials that can be made and tested in the lab.

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