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How to Validate Your Data With Statistical Tests in Python

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Turning materials data into AI-powered lab assistants

As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through ...
IEEE

On Labeling Anomalous Load Data Using Time Series-to-Image Encoding and K-Means Clustering Method with Historical Ground Truth Evaluation

Abstract: Accurately clustering and labeling anomalous time series load data from large databases remains challenging due to close similarity and subtle deviations between each observation. This paper ...
The Washington Post

How to use ChatGPT without giving up your data

Chatbots typically save your conversations and use your data to train their AI. But there’s a hack to use the chatbots with more privacy guardrails. If you like using chatbots but don’t love the ...
IEEE

Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network

Abstract: Regional distribution networks (RDNs) frequently encounter challenges related to peak load demands, such as increased system operational costs, grid instability, transmission and ...
GitHub

Jupyter Kernel Client through HTTP and WebSocket

Jupyter Kernel Client allows you to connect to live Jupyter Kernels through HTTP and WebSocket. A Kernel is the process responsible to execute the notebook code. Jupyter Kernel Client also provides a ...
GitHub

Which part should I change so that code execution happens in a python subprocess or equivalent instead of Jupyter kernel when using taskweaver local mode as a library

Ideally I don't have to deploy this as a docker image because that comes with it's own difficulties in a corporate environment, but if applying patch to the code base is too difficult, I'll have to go ...