Magnesium (Mg) alloys have been popularly used for designing aerospace and automotive parts owing to their high strength-to-weight ratio. Their biocompatibility and low density also make these alloys ideal for use in biomedical ...
Fueled by increasing temperatures and droughts, severe wildfires are on the rise around the world—as are the smoke-borne contaminants that harm the environment and human health. In 2023, Canada recorded its worst wildfire ...
A new system that harnesses the power of AI to accurately model how sound waves travel underwater could help reduce the impact of noise pollution on marine life.
Plant phenomics, an emerging field using advanced image recognition and algorithms, focuses on understanding and quantifying plant traits to improve crop breeding. Significant strides have been made with the advent of automated ...
A front-end lens, or meta-imager, created at Vanderbilt University can potentially replace traditional imaging optics in machine-vision applications, producing images at higher speed and using less power.
In a complex called chromatin, long strands of DNA in cells' nuclei are tightly wrapped around a scaffolding of proteins, like a rolled-up ball of yarn. A new study by Weill Cornell Medicine investigators reveals that beyond ...
In less time than it will take you to read this article, an artificial intelligence-driven system was able to autonomously learn about certain Nobel Prize-winning chemical reactions and design a successful laboratory procedure ...
Image-based plant phenotyping has become crucial in understanding plant biology and agriculture. However, distinguishing relevant biological structures from the background remains a challenge, particularly in low-contrast ...
Crowdsourcing has become pivotal in scientific research, particularly in data-intensive fields like plant phenotyping, leveraging platforms like Kaggle for data analysis and machine learning challenges.
A team of computational scientists at the Department of Energy's Oak Ridge National Laboratory has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 ...
