Cell culture is a foundational technology widely used across fields such as pharmaceutical production, regenerative medicine, food science, and materials engineering. A critical component of successful cell culture is the ...
A new study introduces a machine learning tool that combines satellite imagery and weather data to monitor chickpea crop health. The system accurately estimates Leaf Area Index (LAI) and Leaf Water Potential (LWP) across ...
A common data basis is the prerequisite for efficient and informed action. Up to now, this has, however, been lacking for plant health, which is of great importance for global agriculture and climate research.
Baryons, composite particles made up of three quarks bound together via the so-called strong force, make up the most visible matter and have thus been the focus of numerous physics studies. Studying the rare processes via ...
Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will dissolve in an organic solvent—a key step in the synthesis of nearly any pharmaceutical. ...
Every day, new tunnels are being built through rock across the country. The completed tunnels are safe, but the construction phase presents challenges.
Human activities, such as deforestation and the expansion of agricultural areas, have a massive impact on the natural state of ecosystems. As a result, large amounts of carbon are released into the atmosphere, contributing ...
Researchers from the UCLA Samueli School of Engineering and their collaborators have developed FuelVision, a new system that could help enhance nationwide wildfire preparedness by combining satellite imagery with artificial ...
Based on simulations, researchers report that the next big earthquake along the San Andreas fault is unlikely to resemble previous quakes. Researchers at the intersection of algebra, geometry, particle physics and cosmology ...
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?
