IEEE

A Deep Reinforcement Learning Tracking Algorithm Based on Task Decomposition

Abstract: The active tracking technology of unmanned aerial vehicles (UAVs) has significant applications in fields such as military operations, environmental monitoring, disaster response and traffic ...
IT News Online

Agnik International is Developing New Scalable Distributed Machine Learning Architecture for Large Language Models and Physical AI Applications

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...
IEEE

Multi-Agent Reinforcement Learning With Spatial Structure Awareness for Topological Map-Based Path-Finding

Abstract: Efficient Multi-Agent Path Finding (MAPF) is pivotal for warehouse logistics. While existing learning-based methods primarily rely on computationally intensive grid-based representations, ...
iHLS Israel Homeland Security

This Machine Learning Trick Can Turn Infrared Into Clear Vision

Robots are increasingly deployed in environments that are unsafe or inaccessible for humans, from collapsed buildings and underground tunnels to industrial sites and disaster zones. In many of these ...
Tech Critter

The Role of Advanced Storage Technologies in AI and Machine Learning

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...