The volumes of genetic, biodiversity, and environmental data that can be obtained from individual studies are growing at an impressive rate, as are the public repositories sharing these data. Such ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Organizations no longer need to rely on traditional methods of data analysis to extract valuable insights. With the emergence of artificial intelligence (AI) tools, repetitive tasks that take too much ...

Sixty-five years ago, 10 computer scientists convened in Dartmouth, NH, for a workshop on artificial intelligence, defined a year earlier in the proposal for the workshop as “making a machine behave ...

Synthesis and triangulation among multiple sources of information and multiple types of methods can strengthen the quality and credibility of the evidentiary support for findings and recommendations, ...

They're all around us: sensors and satellites, radars and drones. These tools form vast remote sensing networks that collect data on the climate, the ground, the air, and the water. This information ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...