From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
ZDNet

That new Claude feature 'may put your data at risk,' Anthropic admits

Claude AI can now create and edit documents and other files. The feature could compromise your sensitive data. Monitor each interaction with the AI for suspicious behavior. Most popular generative AI ...
Scientific Research Publishing

Anbarasi, M., Anupriya, E. and Iyengar, S.N. (2010) Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm. International Journal of ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
GitHub

ML: Convert Notebook Logic into Python Module for Feature Scaling

Convert the multi-scaler logic (StandardScaler, MinMaxScaler, RobustScaler) from notebooks into a clean module. The module should compare scalers per column based on skew, select the best, apply the ...
Frontiers

Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques

Eggplant seed vigor is a crucial indicator of its germination rate and seedling growth quality. In response to the need for efficient and nondestructive assessment methods, this study explores the use ...
Reuters

Apple pulls data protection feature in UK amid government demands

Apple iCloud backups can no longer be end-to-end encrypted in UK Apple says other encrypted services such as iMessage unaffected Experts say move weakens cybersecurity of UK users Showdown is latest ...
Seeking Alpha

Apple removes cloud data protection feature in UK after government wanted secret access

Apple (NASDAQ:AAPL) is removing its advanced, end-to-end encrypted security feature for cloud data in the U.K. after it was ordered by the government to create a so-called 'back door' to access user ...
GitHub

Are the training samples and testing samples subjected to feature preprocessing separately? (Using feature selection as an example)

During the model training process (I am referring to the process that includes generating synthetic data and involves backpropagation), when preprocessing features, the training samples are used to ...
Scientific Research Publishing

Advancing Material Stability Prediction: Leveraging Machine Learning and High-Dimensional Data for Improved Accuracy ()

Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density Functional ...