A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of Jerusalem has developed a novel machine learning model employing hyperspectral imaging to assess the ...
As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips.
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw conclusions, enormous ...
Enzymes are crucial to life. They are nature's little catalysts. In the gut, they help us digest food. They can enhance perfumes or get laundry cleaner with less energy. Enzymes also make potent drugs to treat disease. Scientists ...
Skoltech researchers have presented a new simple physical model for predicting the hardness of materials based on information about the shear modulus and equations of the state of crystal structures. The model is useful for ...
Bats are widely recognized as the primary hosts of filoviruses, such as Ebola, yet the specific host species of ebolaviruses are not definitively known. In a study led by the University of California, Davis, and the Albert ...
Back in the old days—the really old days—the task of designing materials was laborious. Investigators, over the course of 1,000-plus years, tried to make gold by combining things like lead, mercury, and sulfur, mixed in what ...
Researchers have developed a novel method to assess depression in CEOs by using machine learning models (a type of artificial intelligence) to analyze vocal acoustic features from conference call recordings. This innovative ...
Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these parameters from scratch ...
Machine learning (ML) transforms the design of heterogeneous catalysts, traditionally driven by trial and error due to the complex interplay of components. BIFOLD researcher Parastoo Semnani from the ML group of BIFOLD Co-Director ...
