New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

The gap between donor organ supply and demand goes beyond being a medical issue—understanding why these gaps exist requires an examination of the unique tensions at the center of the U.S. transplant ...

Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...

We introduce meta learning into resource allocation task and propose the Adaptive Resource Allocation (ARA) algorithm. It shows excellent adaptation ability in different topologies. With the ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...