Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level.
Biotechnology
Jan 6, 2021
0
195
A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...
Molecular & Computational biology
Jan 5, 2021
0
13
Using the highest resolution satellite imagery currently available—Worldview 3—from Maxar Technologies and deep learning, (TensorFlow API, Google Brain) researchers at the University of Oxford Wildlife Conservation Research ...
Plants & Animals
Dec 24, 2020
0
435
When surgeons remove cancer, one of the first questions is, "Did they get it all?" Researchers from Rice University and the University of Texas MD Anderson Cancer Center have created a new microscope that can quickly and ...
Biochemistry
Dec 18, 2020
0
171
Whether at a birthday party in Brazil, a funeral in Kenya or protests in Hong Kong, humans all use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls, a new study ...
Social Sciences
Dec 16, 2020
2
148
Researchers at the University of Illinois Urbana Champaign have developed a new technique that combines label-free imaging with artificial intelligence to visualize unlabeled live cells over a prolonged time. This technique ...
Analytical Chemistry
Dec 7, 2020
0
77
Developing new materials takes a lot of time, money and effort. Recently, a POSTECH research team has taken a step toward creating new materials by applying AI to develop high-entropy alloys (HEAs) which are referred ti as ...
Materials Science
Nov 11, 2020
0
15
How do you measure the pose—that is the 3-D rotation and 3-D translation—of a piece of space junk so that a grasping satellite can capture it in real time in order to successfully remove it from Earth's orbit? What role ...
Astronomy
Oct 30, 2020
0
15
At first glance the apparently barren expanses of the Sahel and Sahara deserts feature little greenery, but detailed satellite imagery combined with computer deep learning has revealed a different picture.
Environment
Oct 14, 2020
0
312
From pollen forecasting, honey analysis and climate-related changes in plant-pollinator interactions, analyzing pollen plays an important role in many areas of research. Microscopy is still the gold standard, but it is very ...
Plants & Animals
Oct 5, 2020
0
6
