An innovative artificial intelligence (AI) model, capable of predicting changes in Arctic sea ice up to a year in advance, has been developed. This model is expected to provide invaluable mid- to long-term forecasting information, ...
Researchers have introduced Annotatability—a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain ...
Setting the right price for goods or services is essential for just about any business. Prices that are too low can reduce profits. Prices that are too high can drive away customers and lead to losses.
National Cancer Institute researchers have developed a method called HORNET for characterizing 3D topological structures of large and flexible RNA molecules. Scientists used atomic force microscopy (AFM) with deep neural ...
Collisions between animals and vehicles are a threat to conservation efforts and human safety, and have a massive cost for transport infrastructure managers and users.
The melting point is one of the most important measurements of material properties, which informs potential applications of materials in various fields. Experimental measurement of the melting point is complex and expensive, ...
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change. These sudden shifts, known ...
Johns Hopkins researchers have developed a powerful new AI tool called "Splam" that can identify where splicing occurs in genes—an advance that could help scientists analyze genetic data with greater accuracy, offering new ...
Street art takes many forms, and the vibrant murals on the Berlin Wall both before and after its fall are expressions of people's opinions. But there was often secrecy around the processes for creating the paintings, which ...
In many Asian regions, especially in China, agricultural fields are typically small, scattered, and lack clear boundaries, which complicates effective crop distribution and agricultural analysis using remote sensing technology.
