Orchestral replaces LangChain’s complexity with reproducible, provider-agnostic LLM orchestration

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...
IEEE

LiDAR-Only Navigation of UGVs in Dynamic Environments via Graph Attention Networks and Deep Reinforcement Learning

Abstract: A novel deep reinforcement learning (DRL) framework is proposed for autonomous navigation of unmanned ground vehicles (UGVs) in dynamic environments using LiDAR data. Utilizing a Graph ...

Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
AlphaGalileo

A survey of dynamic graph neural networks

Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking ...

Swinging abyss: Oxygen isotope analysis shows less dynamic Antarctic ice sheet in Oligocene period

Oxygen isotopes data enable researchers to look far back into the geologic past and reconstruct the climate of the past. In ...
IEEE

A Diagnostic Framework for Harmonic Drives Based on Dynamic Graph Data Augmentation and Adaptive Knowledge Distillation for Graphs

Abstract: The operational state of harmonic drives demonstrates nonlinear and nonstationary characteristics, which pose challenges for traditional methods to extract features. Graph neural networks ...