March 2026

The computational cost of stiff chemical kinetics remains a dominant bottleneck in reacting-flow simulation, yet hybrid integration strategies are typically driven by hand-tuned heuristics or supervised predictors that make myopic decisions from instantaneous local state. We introduce a constrained reinforcement learning (RL) framework that autonomously selects between an implicit BDF integrator (CVODE) and a quasi-steady-state (QSS) solver during chemistry integration. Solver selection is cast as a Markov decision process. The agent learns trajectory-aware policies that account for how […]

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Singapore, Singapore, March 31st, 2026/Chainwire/–Pendle announces its CEO TN Lee represented the protocol at a high-level financial delegation in New York alongside representatives from Deutsche Bank, Morgan Stanley, BlackRock, Franklin Templeton, and Anchorage Digital. The group met with Vietnam’s Deputy Prime Minister to build the investment case for Vietnam’s International Financial Center, a landmark initiative positioning Southeast Asia as a destination for global institutional capital. For Pendle, this is more than a diplomatic milestone. It signals the moment […]

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Shuffling strategies for stochastic gradient descent (SGD), including incremental gradient, shuffle-once, and random reshuffling, are supported by rigorous convergence analyses for arbitrary within-epoch permutations. In particular, random reshuffling is known to improve optimization constants relative to cyclic and shuffle-once schemes. However, existing theory offers limited guidance on how to design new data-ordering schemes that further improve optimization constants or stability beyond random reshuffling. In this paper, we design a pipeline using a large language model (LLM)-guided program evolution […]

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While apprenticeship learning has shown promise for inducing effective pedagogical policies directly from student interactions in e-learning environments, most existing approaches rely on optimal or near-optimal expert demonstrations under a fixed reward. Real-world student interactions, however, are often inherently imperfect and evolving: students explore, make errors, revise strategies, and refine their goals as understanding develops. In this work, we argue that imperfect student demonstrations are not noise to be discarded, but structured signals-provided their relative quality is ranked. […]

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Informed Machine Learning has emerged as a viable generalization of Machine Learning (ML) by building a unified conceptual and algorithmic setting for constructing models on a unified basis of knowledge and data. Physics-informed ML involving physics equations is one of the developments within Informed Machine Learning. This study proposes a novel direction of Knowledge-Data ML, referred to as KD-ML, where numeric data are integrated with knowledge tidbits expressed in the form of granular knowledge landmarks. We advocate that […]

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Release: datasette-llm 0.1a4 Ability to configure different API keys for models based on their purpose – for example, set it up so enrichments always use gpt-5.4-mini with an API key dedicated to that purpose. #4 I released llm-echo 0.3 to provide an API key testing utility I needed for the tests for this new feature. Tags: llm, datasette

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Release: llm-all-models-async 0.1 LLM plugins can define new models in both sync and async varieties. The async variants are most common for API-backed models – sync variants tend to be things that run the model directly within the plugin. My llm-mrchatterbox plugin is sync only. I wanted to try it out with various Datasette LLM features (specifically datasette-enrichments-llm) but Datasette can only use async models. So… I had Claude spin up this plugin that turns sync models into […]

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Release: llm 0.30 The register_models() plugin hook now takes an optional model_aliases parameter listing all of the models, async models and aliases that have been registered so far by other plugins. A plugin with @hookimpl(trylast=True) can use this to take previously registered models into account. #1389 Added docstrings to public classes and methods and included those directly in the documentation. Tags: llm

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