This paper aims to review the diverse range of technosignatures that have been proposed in the literature.
AI
A Cloud-Based Tool For Meteorite Recovery Using Drones And Machine Learning
We present a cloud-based tool that uses drones and machine learning to help recover instrumentally observed meteorite falls.
Artificial Intelligence Aided Design Of Peptides With Custom Secondary Structure Motifs And Reduced Amino Acid Alphabets
Proteins are highly diverse functional polymers where the specific sequence of amino acids, selected from a standard genetically-encoded alphabet of twenty (C20), determines the structure and ultimately the function of […]
Tricorder Tech: NASA’s Next-Gen Space Processor Undergoes Testing
Editor’s note: for more than half a century we have been learning how to use the viewpoint from space to study our home world. The instruments we have developed often […]
NASA Redesigns Science Discovery Engine Infrastructure
The Science Discovery Engine (SDE), NASA’s centralized, search capability for all open-source science data and information, recently released a major upgrade to its backend infrastructure. Shifting to OpenSearch, an Amazon […]
A New Artificial Intelligence Tool That Can Generate Millions Of New Molecules
Editor’s note: As we expand outward from Earth to other worlds we are almost certainly going to encounter things we did not expect to find – things that are unlikely […]
Smaller Than Earth Habitability Model (STEHM): The Lower Size Limit for Atmosphere Retention in the Habitable Zone
With recent advances in exoplanet observational techniques enabling the discovery of increasingly smaller planets, a crucial question emerges in the search for habitable planets: how small can a planet be […]
Mapping The Molecules Of Life: Expanding The Quantum-mechanical Foundation For Biomolecular AI
Machine learning force fields (MLFFs) are rapidly transforming molecular simulations by combining the accuracy of quantum mechanics with the speed of classical approaches. However, training reliable MLFFs for biological systems […]
Machine Learning As A Transformative Tool for (Exo-)Planetary Science
The exploration of planetary bodies in our Solar system and beyond relies on the processing and interpretation of large, spatio-temporally inconsistent, and heterogeneous datasets.
Computational Chemistry And Supercomputers To Help Understand The Mechanisms Of Life
A new study from the Italian Institute of Technology (IIT), in collaboration with Uppsala University (Sweden) and AstraZeneca, shows how computational chemistry and supercomputers can help scientists better understand the […]
