Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Setting up a Large Language Model (LLM) like Llama on your local machine allows for private, offline inference and experimentation.

Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with breakthrough agentic capabilities and competitive pricing.

Flows has added Optimove’s Opti-X to its platform, looking to build up its offering to operators following enhancements made ...

In this article, a forward uncertainty propagation method is presented for a 2-D finite-element (FE) model in an induction machine. This method is applied to quantify the uncertainty of input ...

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic ...

Description of the problem, including code/CLI snippet Since Pipeline inputs are official now the python-gitlab should support it in trigger_pipeline, too. It seems it was not added: https://github ...

In this paper, we consider an input parameter uncertainty quantification problem, where the true distributions of the input random factors that drive a simulation model are unknown but belong to some ...