IEEE

Vehicle Routing Incorporating Implicit Preferences: An Omnidimensional Human–Algorithm Collaboration Approach

Due to the complexity and dynamism of real-world needs, traditional vehicle routing solutions usually do not sufficiently consider implicit user preferences, leading to low acceptance and reduced ...
IEEE

Collaborative Energy Efficiency and Security Enhancement Routing Algorithm Based on Enhanced PSO and DQ-Learning for WSNs

Abstract: To address the synergistic challenges of energy efficiency and security in wireless sensor networks under complex attack environments, this paper proposes a collaborative energy efficiency ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
eLife

Projection-specific integration of convergent thalamic and retrosplenial signals in the presubicular head direction cortex

This valuable study combines anatomical tracing and slice physiology to examine how anterior thalamic and retrosplenial inputs converge in the presubiculum, a key region in the navigation circuit. The ...
eLife

Cerebellar climbing fibers impact experience-dependent plasticity in the mouse primary somatosensory cortex

This study presents a fundamental discovery of how cerebellar climbing fibers modulate plastic changes in the somatosensory cortex by identifying both the responsible cortical circuit and the ...
GitHub

dynamic-moe-router-kit

dynamic-moe-router-kit implements adaptive expert routing for Mixture-of-Experts (MoE) models, dynamically selecting the optimal number of experts per token based on input complexity. Based on the ...