Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Frontiers

Prediction of thin sand body reservoirs using facies-model-constrained stochastic optimization inversion

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.
IEEE

Data-driven Topology Optimization with Warm Starting CMA-ES for Constraint Optimization in Rotating Machines

Abstract: In this paper, a novel topology optimization method, which reduce the computational cost for solving constrained optimization, was proposed. In constrained optimization problems, it takes a ...
IEEE

Decentralized Constrained Optimization Over Time-Varying Directed Networks via Subgradient Rescaling

Abstract: In this article, we investigate a decentralized constrained optimization problem over time-varying directed networks. The nodes in the network aim to collaboratively minimize the aggregate ...
GitHub

arnobt78/Vehicle-Routing-Problem-Time-Windows-Solver-Comparison--VRPTW-Python

This project is an educational and research-oriented implementation that benchmarks and compares different metaheuristic algorithms for solving VRPTW problems. The VRPTW is a classic NP-hard ...
Frontiers

Enhancing Fast Neutron Irradiation in Thermal Neutron Spectrum Reactors Through Python-Based Multi-Objective Optimization

The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...