A Large-Scale Experiment: Curating Big Data at Spain 2016
In recent years, the growing potential of big data has seeped into many facets of modern life, and its application goes far beyond simple tasks and commerce. At the Big Data Spain 2016 conference, a critical discussion emerged about how intelligence and big data could prevent catastrophic events akin to the extinction of dinosaurs. The primary focus was on developing predictive models to identify and track Near Earth Objects (NEOs) that possess the potential to intersect with Earth’s orbit.
Predicting and Classifying Asteroids
Our planet's history reminds us that extinction events, like the one that supposedly wiped out the dinosaurs, can be precipitated by astronomical phenomena. As a proactive measure, experts at Big Data Spain are engaged in a large-scale experiment leveraging sophisticated technologies. By utilizing extensive data networks and machine learning models, teams are able to predict and classify these NEOs with unprecedented accuracy. Cutting-edge tools like TensorFlow have been pivotal for this initiative, especially when used in projects such as NASA’s Space Apps Challenge. These efforts are designed to form a protective barrier, giving humanity advance warning of any potential threats from space.