News

Prior research on brain-wide associated studies has shown that links between brain function and structure and traits are so weak that thousands of participants are needed to detect replicable effects. However, a new study suggests stronger links can be obtained when machine learning algorithms are utilized, which can garner high-powered results from moderate sample sizes.

Researchers have developed a deep learning model that provides predictions of air quality in wildfire-prone areas and can differentiate between wildfires and non-wildfires.

New research from the University of Georgia suggests most people don’t understand the difference between a preprint and a published academic journal article.

Researchers have developed a new method for detecting and predicting defects in 3D printed materials, which could transform the additive manufacturing process.

Researchers suggest that we will likely need many different methods of carbon removal to secure just 1.5 degrees of warming by 2100.

Researchers have developed a powerful and easier-to-manufacture component that combines data storage and processing, like brain cells.

Scientists have found that smoke particles in the stratosphere can trigger chemical reactions that erode the ozone layer — and that smoke particles from Australian wildfires widened the ozone hole by 10% in 2020.

In the first study to look at worldwide ambient fine particulate matter, new research has found that only 0.001% of the global population is exposed to air pollution levels below what is considered safe.

A commonly-used computer model has been altered to better reflect how neurons and other cells are wired in the brain, and is now able to hold more memories.

Researchers have developed and validated a deep learning–based method to detect Alzheimer’s disease based on routinely collected clinical brain images.