We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named SMDET, applied to time series images from the Wide-field Infrared Survey Explorer.
AI – Data – Apps – Cybernetics
Hydrogel Material Shows Unexpected Learning Abilities: It Learned To Play ‘Pong’
In a study published today (22 August) in Cell Reports Physical Science, a team led by Dr Yoshikatsu Hayashi demonstrated that a simple hydrogel – a type of soft, flexible […]
Insect Astronomy: How Dung Beetles and the Milky Way Are Helping To Improve Navigation Systems
An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites.
Constructing the Molecular Tree of Life using Assembly Theory and Mass Spectrometry
The connected nature of all life on earth, dating back to the last universal common ancestor (LUCA), has been explored using knowledge of taxonomy and biochemistry, with significant insights enabled […]
Accelerating Giant Impact Simulations With Machine Learning
Constraining planet formation models based on the observed exoplanet population requires generating large samples of synthetic planetary systems, which can be computationally prohibitive.
Mapping “Brain Terrain” Regions on Mars Using Deep Learning
One of the main objectives of the Mars Exploration Program is to search for evidence of past or current life on the planet.
Video: Building an Onboard AI to Act as an Advance Science Team
Dr. Ryan Felton hosts Dr. Bethany Theiling from the NASA Goddard Space Flight Center. Bethany discusses her research and endeavors to make AI/ML in-situ autonomous capabilities during planetary missions a […]
Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)
This research introduces an innovative application of physics-informed neural networks (PINNs) to tackle the intricate challenges of radiative transfer (RT) modeling in exoplanetary atmospheres, with a special focus on efficiently […]
Do SETI Optimists Have a Fine-Tuning Problem?
In ecological systems, be it a garden or a galaxy, populations evolve from some initial value (say zero) up to a steady state equilibrium, when the mean number of births […]
Life Detection Knowledge Base (LDKB)
Life Detection Knowledge Base (LDKB) is an online, community owned resource to provide knowledge and support discourse about the detection of signs of life.
