artificial intelligence tagged posts

Unraveling the Mysteries of the Night Sky with AI

Unraveling the mysteries of the night sky with AI
Stitched raw video material of the camera arrangement of the AllSky7 system using an observation at the Sonneberg station. The source data are available online [cp. AllSky7 Fireball Network Germany (2020)]. Credit: Monthly Notices of the Royal Astronomical Society (2022). DOI: 10.1093/mnras/stac1948

Technische Universität Ilmenau (Germany) is using artificial intelligence to improve the detection and classification of unidentified phenomena in the night sky. The research team of the group for data-intensive systems and visualization collaborated with the American Meteor Society, which initiated the AllSky7, an international network of scientists and amateur astronomers that permanently observes the night sky with specially designed cameras and classifies and assigns all events...

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Using Artificial Intelligence to Control Digital Manufacturing

a 3-d printer extrudes shapes
Caption: MIT researchers have trained a machine-learning model to monitor and adjust the 3D printing process in real-time.
Credits:Image: Courtesy of the researchers

Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time. A new computer vision system watches the 3D printing process and adjusts velocity and printing path to avoid errors. Training the system in simulation, researchers avoid the costly trial-and-error associated with setting 3D printing parameters for new materials.

Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out howto print with these materials can be a complex, costly conundrum.

Often, an expert operator must us...

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When it comes to AI, can we Ditch the Datasets?

MIT researchers have demonstrated the use of a generative machine-learning model to create synthetic data, based on real data, that can be used to train another model for image classification. This image shows examples of the generative model’s transformation methods. Credit: Massachusetts Institute of Technology

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos following a natural disaster. However, these data are not always easy to come by. Datasets may cost millions of dollars to generate, if usable data exist in the first place, and even the best datasets often contain biases that negatively impact a model’s performance.

To circumvent some of the problems presented by datasets, M...

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The Brain’s Secret to Life-Long Learning can now come as Hardware for Artificial Intelligence

An electronic chip that can be reprogrammed on demand may enable artificial intelligence to learn more continuously like the human brain does, researchers have discovered. (Purdue University photo/Rebecca McElhoe)

When the human brain learns something new, it adapts. But when artificial intelligence learns something new, it tends to forget information it already learned.

As companies use more and more data to improve how AI recognizes images, learns languages and carries out other complex tasks, a paper publishing in Science this week shows a way that computer chips could dynamically rewire themselves to take in new data like the brain does, helping AI to keep learning over time.

“The brains of living beings can continuously learn throughout their lifespan...

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