Cybercriminals are moving beyond email scams and into social media feeds, using tutorial-style videos on TikTok and Instagram to spread malware and steal credentials ...

Russian military vehicles painted in patterns resembling WWI-era dazzle camouflage can potentially hide them from Ukrainian ...

Abstract: Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as possible ...

One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...

This GitHub repository contains the code, data, and figures for the paper RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. Also includes the SCBC and RCE experiments ...

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...