While prompt-based parameter-efficient continual learning mitigates catastrophic forgetting by isolating task-specific prompts, this isolation also limits later tasks from improving earlier ones, leaving backward knowledge transfer underexplored.
AI
Planetary Genomics: Basecamp Research Launches The Trillion Gene Atlas
Editor’s note: If we aspire to mount expeditions to new worlds and then embrace the task of characterizing and quantifying whatever life forms we find, the ability to map and […]
The Deep Sea Is An Untapped Evolutionary Engine Says New Study
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 […]
Towards a Foundation Model for the Martian Atmosphere
The martian atmosphere hosts dynamical phenomena ranging from planet-encircling dust storms to mesoscale orographic clouds and nocturnal low-level jets.
Highlighting A Science Strategy For Human Exploration Of Mars
A Science Strategy for Human Exploration of Mars, charts a bold, scientifically based blueprint for humanity’s greatest cosmic adventure—sending explorers to Mars to answer the universe’s most profound questions: Is […]
Spectral Classification Of Brown Dwarfs Using Machine Learning
Brown dwarfs are compact objects that do not reach temperatures high enough to produce sustained hydrogen fusion. Consequently, they cool over time, gradually evolving through later spectral types.
Decoding Extremophiles: Insights From Bioinformatics, Machine Learning, And Data-driven Approaches
Life thrives in Earth’s most inhospitable environments, from boiling hydrothermal vents to hypersaline lakes and frozen polar deserts, thanks to the remarkable adaptations of extremophilic microorganisms.
Missed Opportunities In The Search For Extraterrestrial Life
Suppose there are signs of extraterrestrial life and we have not yet been able to detect them. What does that mean?
The Search For Technosignatures: A Review Of Possibilities
This paper aims to review the diverse range of technosignatures that have been proposed in the literature.
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.
