A research team has developed a radiative transfer modeling framework using Helios 3D plant modeling software to simulate RGB, multi-/hyperspectral, thermal, and depth camera images with fully resolved reference labels. This ...
Pioneering AI-powered research on butterflies has probed the under-studied evolution of females and adds to a debate between the founding fathers of evolution.
When a particle beam hits a target in an isotope production facility, it generates heat that is removed by water channels. The transfer of heat between the target and the flowing water produces subcooled flow boiling. This ...
Researchers at the University of Toronto have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides—chains of amino acids that are shorter than proteins, but perform similar biological ...
Engineering proteins for desirable traits has been the holy grail of modern biotechnology. For example, the food industry can benefit from engineered enzymes which have the ability to enhance biochemical reactions at higher ...
A research team has developed an innovative method utilizing unmanned aerial vehicles (UAVs) and deep learning techniques to accurately identify tassel states in maize hybridization fields before and after manual detasseling. ...
In a world striving for sustainability, understanding the hidden half of a living plant—the roots—is crucial. Roots are not just an anchor; they are a dynamic interface between the plant and soil, critical for water uptake, ...
Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins: when molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger chemical cascades that alter ...
Although there is the saying, "straight from the horse's mouth," it's impossible to get a horse to tell you if it's in pain or experiencing joy. Yet, its body will express the answer in its movements. To a trained eye, pain ...
To address the limitations of current computational super-resolution microscopy, a team of researchers at Zhejiang University has introduced a novel deep-physics-informed sparsity framework that significantly enhances structural ...
