How AI-First Pod Structures Are Reshaping Traditional Hierarchies

The companies that survive will look less like pyramids and more like swarms: small, autonomous AI-first pods that move and ...
Newsd

AI in Portfolio Management: From Human Judgment to Quantitative Systems

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...
IEEE

MOHFL: Multi-Level One-Shot Hierarchical Federated Learning With Enhanced Model Aggregation Over Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model ...
IEEE

Guided Cooperation in Hierarchical Reinforcement Learning via Model-Based Rollout

Abstract: Goal-conditioned hierarchical reinforcement learning (HRL) presents a promising approach for enabling effective exploration in complex, long-horizon reinforcement learning (RL) tasks through ...
EurekAlert!

Bayesian spatial modeling enhances precision of forest biomass estimation

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...