SciPy
PulseAugur coverage of SciPy — every cluster mentioning SciPy across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Chinese open-source model ZDTaichu5.0-9B leads in spatial AI
A new open-source multimodal large model, ZDTaichu5.0-9B, has been released, demonstrating leading capabilities in spatial embodiment and general intelligence. The model achieved top performance on nine international sp…
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White-box backdoor attack on RFF models implemented with standard tools
Researchers have implemented a theoretical white-box backdoor attack on machine learning models that utilize Random Fourier Features (RFF). This implementation, built using standard scientific computing tools like NumPy…
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YuE2-3B audio model enhanced with new tokenization and fine-tuning tools
A new set of tools has been released for the YuE2-3B audio generation model, enabling users to tokenize their own recordings and fine-tune the model for specific artists. This release includes an audio-to-semantic-token…
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New whitetree library enhances SciPy k-d tree for streaming data
A new library called whitetree has been developed to efficiently handle nearest-neighbor searches on streaming sensor data. It utilizes multiple SciPy k-d trees to manage inserts and deletes without requiring a full reb…
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TorchMorph brings GPU acceleration to morphological transforms
TorchMorph is a new PyTorch extension that brings morphological transforms to the GPU, addressing the limitations of existing CPU-only implementations like SciPy's. It offers 22 CUDA-accelerated operators for various mo…
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TorchMorph brings GPU-accelerated morphological transforms to PyTorch
TorchMorph is a new PyTorch extension that offers GPU-accelerated morphological and distance-transform operators. It provides 22 operators, including binary and greyscale morphology, and various distance transforms, imp…
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Python tutorial replicates LabPlot data analysis workflow
This tutorial demonstrates how to perform scientific data analysis in Python using a workflow inspired by LabPlot. It covers essential data manipulation techniques such as signal processing, peak fitting, and visualizat…
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Claude Code offers script-based health data analysis over chat agents
Claude Code, a terminal-based AI agent, offers a distinct advantage over chat-only AI for health data analysis by generating executable scripts and visualizations. Unlike standard chat agents that provide numerical outp…
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Scikit-learn 1.9.0 enhances dataframe interoperability with new Narwhals dependency
Scikit-learn version 1.9.0, released on June 2, 2026, introduces significant changes beyond a typical update. A key development is the addition of Narwhals as a dependency, aimed at enhancing interoperability across var…
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New benchmark tests LLMs on real-world code optimization
Researchers have introduced SWE-fficiency, a new benchmark designed to evaluate the performance optimization capabilities of language models on real-world software repositories. The benchmark includes 498 tasks across n…
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LLM evaluation metrics need confidence intervals to distinguish signal from noise
Evaluating Large Language Models (LLMs) requires understanding the uncertainty inherent in performance metrics. A single score, such as 84.2% accuracy, can be misleading because it doesn't account for sampling error. By…
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NVIDIA Canary-1B-v2 Tutorial: ASR, Translation, and Subtitle Generation
This tutorial demonstrates how to utilize NVIDIA's Canary-1B-v2 model for advanced audio processing tasks, including automatic speech recognition (ASR), translation, and subtitle generation. The guide covers setting up …
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New research explores genetic programming for symbolic regression · 2 sources tracked
Two recent arXiv papers explore genetic programming (GP) for symbolic regression (SR). One study, "Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression," found that different…
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TimeCopilot tutorial shows end-to-end forecasting with foundation models
This tutorial demonstrates how to build an end-to-end forecasting pipeline using TimeCopilot, a tool that integrates various forecasting models. The process involves preparing a dataset with real airline passenger data …
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New framework distills foundation models for specialized time-series forecasting
Researchers have developed a novel framework called Guard to distill knowledge from large, general-purpose foundation models (FMs) into lightweight, specialized time-series forecasters. This approach addresses the chall…
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PyTorch gets differentiable sparse linear algebra library
Researchers have developed torch-sla, an open-source Python library designed to provide differentiable sparse linear algebra capabilities within PyTorch. This library addresses a gap in PyTorch's existing functionalitie…
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OpenAI advances AI agents for science and safety; Google DeepMind funds multi-agent research
OpenAI is advancing scientific computing and AI safety through several initiatives. The company has released a new benchmark, GeneBench-Pro, to evaluate AI agents' ability to handle complex biological data. OpenAI is al…