Every day, new tunnels are being built through rock across the country. The completed tunnels are safe, but the construction phase presents challenges.
Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?
Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies.
Aluminum oxide or alumina is the fruit fly of materials science: thoroughly researched and well-understood. This compound, with the simple chemical formula Al2O3, occurs frequently in Earth's crust in the form of the mineral ...
A machine learning method developed by researchers from the Institute of Science Tokyo, the Institute of Statistical Mathematics, and other institutions accurately predicts liquid crystallinity of polymers with 96% accuracy. ...
Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different human languages, have become increasingly widespread over the past few years. Since the release ...
Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with the human body, making this an area of interest for medical drug research and an area of concern ...
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction of hypothalamus–pituitary ...
A new strategy for strengthening polymer materials could lead to more durable plastics and cut down on plastic waste, according to researchers at MIT and Duke University.
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then, that researchers wanted ...
