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.
AI
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 […]
Identifying The Limits Of Protein Evolution
The number of known proteins is infinitely small in comparison to the universe of possible proteins which could in theory be realized. Yet these known proteins are the only major […]
AI Approach Uncovers Dozens Of Hidden Planets In NASA’s TESS Data
Astronomers at the University of Warwick have validated over 100 exoplanets, including 31 newly detected planets, using a new artificial intelligence tool applied to data from NASA’s Transiting Exoplanet Survey […]
Machine Learning For Evolutionary Genetics And Molecular Evolution
Over the past decade, the rapid expansion of large-scale data and advances in computational power have allowed machine learning (ML), especially deep learning, to reshape many areas of biological research. […]
Build Your Own Mars Astrobiology Rover
Editor’s note: NASA currently has two droids at work on Mars: Perseverance and its Older sibling Curiosity. Their common task is to perform astrobiology and astrogeology exploration activities on Mars. […]
NASA Ames AI/ML Seminar Series: Machine Learning for Exoplanet Vetting and Validation
Everyone is invited to the monthly artificial intelligence and machine learning virtual seminar hosted by the Exobiology Branch at the NASA Ames Research Center. Previously recorded seminars can be found […]
Simulating A Living Cell: First Simulation Of An Entire Cell Cycle
By simulating the life cycle of a minimal bacterial cell — from DNA replication to protein translation to metabolism and cell division — scientists have opened a new frontier of […]
Template-Based Catalysis and the Emergence of Collectively Autocatalytic SystemsEntropy
Mathematical and computational models, which have been successfully used in various fields of biology, are particularly relevant in studies on the origin of life, where wet experiments have not yet […]
With Evo 2, AI Can Model And Design The Genetic Code For All Domains Of Life
The DNA foundation model Evo 2, first released in February 2025 as a preprint, is now published in the journal Nature. Trained on the DNA of over 100,000 species across […]
