14 September 2018
AI helps find new pulses from mysterious FRB source
...dynamic behavior of FRBs in more detail," remarked Siemion, "but also because of the promise it shows for using machine learning to detect signals missed by classical algorithms." He went on to say that “these new techniques are already improving our...
September 2017
India’s dynamic ecosystem for space entrepreneurship
... as low-cost, commercial off-the-shelf (COTS), agile-mass manufacturing, and data fusion combined with machine learning. With a possible success rate of five percent in startups across tech industry, the world could potentially see...
15 December 2020
NOAA launches Crowdsourcing competition for better forecasting of magnetic field
... forecasting solar winds and variations in the magnetic field, including empirical, physics-based, and machine learning approaches. While the machine learning models generally perform better than models based on the other approaches, there is still...
August 2020
Opportunities for young people in the space sector
..., for example, runs international summer and winter schools, with programmes including space robotics, artificial intelligence, machine learning and data science. Hackathons, such as The NASA International Space Apps Challenge, are also a good way...
May 2021
Forecasting space-weather effects on Earth
... models have been proposed for solar wind forecasting of Dst. They include empirical, physics-based and Machine Learning (ML) approaches. Of particular interest are the ML models, which have raised significant interest from the space physics...
October 2016
Project MOONWALK
...stream provided by the omnicam. The robot used machine learning to learn the features of the astronaut. This generic approach... control, or where specialists operate attention-demanding machines. Integrated in smart cothing, biomonitoring systems based...
