Atmospheric escape of close-in exoplanets, driven by stellar irradiation, influences their evolution, composition, and atmospheric dynamics. The near-infrared metastable helium triplet (10833 Å) has ...

I started a self-study path to learn the theoretical fundamentals of Data Science and Machine Learning. I have also been playing with Python ever since, with coding exercises during the “Friday 10% ...

Artificial Intelligence? Let's dive in, artists! I am learning Machine Learning (a subset of AI), and my focus is the implementation of AI algorithms in Houdini to solve particular problems. Here I am ...

We’ve come a long way in our use of MIDI. When the standard was introduced in the 1980s, getting different instruments made by different manufacturers to communicate with each other was a huge step ...

The study of planetary atmospheres is crucial for understanding the origin, evolution, and processes that shape celestial bodies like planets, moons and comets. The interpretation of planetary spectra ...

Planets orbiting close to hot stars experience intense extreme-ultraviolet radiation, potentially leading to atmosphere evaporation and to thermal dissociation of molecules. However, this extreme ...

TFCat (Time-Frequency Catalogue) is a data interchange format based on JSON (JavaScript Object Notation), which has been initially designed for exchanging low frequency radio events and features. It ...

Note: This work is still in the testing phase. This is a tutorial on how to use Azure Machine Learning SDK for Python (AML SDK) to operationalize (Figure 1) pre-trained R models at scale in the cloud ...