How can large language models (LLMs) be improved to perform simple tasks, as they are often designed to perform complex tasks? This is what a recently subm | Technology ...

While Dębiak won 500,000 yen and survived his ordeal better than the legendary steel driver, the AtCoder World Tour Finals ...

Meta’s Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is a significant advancement in Artificial Intelligence (AI ...

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

Abstract: Target tracking plays a vital role in both civil and military fields. Traditional radar point (maneuvering) target tracking methods always require a prior kinematic model to match the target ...

This repository contains code for training a GNM with your own data, pre-trained model checkpoints, as well as example code to deploy it on a TurtleBot2/LoCoBot robot. The codebase assumes access to a ...

Autonomous Driving Systems (ADSs) operate in highly dynamic and uncertain environments, requiring testing methods that address both internal (e.g., algorithm randomness, sensor limitations) and ...