Abstract: Earthquake early warning systems (EEWSs) often rely on fast determination of earthquake source parameters, namely, location, magnitude, and depth. In areas where the seismic network is ...

A groundbreaking computational physics framework has demonstrated that the three-dimensional fabric of the universe can be generated from scratch using a simple algorithm with exactly zero free ...

Using NASA's Fermi Gamma-ray Space Telescope, Chinese astronomers have observed a gamma-ray binary system known as PSR J2032+4127. Results of the new observations, published February 3 on the arXiv ...

William Parks is a Game Rant editor from the USA. Upon graduating from the University of Southern California’s School of Cinematic Arts, William entered the realm of fine arts administration, ...

Abstract: Compared to Full-Model Fine-Tuning (FMFT), Parameter-Efficient Fine-Tuning (PEFT) has demonstrated superior efficacy and efficiency in several code understanding tasks, owing to PEFT’s ...

Over a decade after introducing students to the fundamentals of computer science through its Hour of Code campaign, education nonprofit Code.org is broadening its reach with a new program that bridges ...

Code.org CEO Hadi Partovi during an event in Seattle in July, announcing a new “Hour of AI” campaign to demystify AI in the spirit of the group’s past “Hour of Code” initiatives. (GeekWire Photo / ...

According to @AIatMeta, Meta FAIR has introduced the Code World Model (CWM), a 32-billion-parameter research model engineered to advance world modeling in code ...

Implementation for paper: Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-shot Molecular Property Prediction This is the code for the NeurIP'24 Paper: Pin-Tuning: Parameter-Efficient ...

ABSTRACT: A recent numerical study of tornadogenesis suggests that processes and structures in the turbulent boundary layer below a supercell thunderstorm’s mesocyclone may play an important role in ...

To study the origin and evolution of the universe, physicists rely on theories that describe the statistical relationships between different events or fields in spacetime, broadly referred to as ...

Kimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total parameters, with 32 billion active parameters per token. It’s trained ...