Can AI detect hedgehogs from space? Maybe if you find brambles first.

Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...
IEEE

Semi-Supervised Triple-GAN with Similarity Constraint for Automatic Underground Object Classification Using Ground Penetrating Radar Data

Abstract: Automatic underground object classification based on deep learning has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
Mortgage News Daily

Helpful Data and Treasury Auction Set High Bar For CPI

Another fairly straightforward day for the bond market with friendly econ data and a strong 10yr Treasury auction both helping push yields lower. If it seems like the size of the miss in the PPI data ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
The New York Times

Trump Administration Quietly Seeks to Build National Voter Roll

In a quest to bolster a long-running claim from President Trump concerning undocumented immigrants illegally voting, the Justice Department is seeking detailed voter roll data from over 30 states. By ...
IEEE

Large-area cotton mapping and yield forecasting via Semi-supervised temporal-spatial-spectral method (TSpaSpe) using Sentinel-2 data

Abstract: Mastering information on cotton yield in large areas has an irreplaceable role in agricultural production and balancing the relationship between supply and demand. Owing to temporal and ...
Boston Herald

For your review: Reader access to the state’s full P-Card data set

Following multiple requests from readers, the Herald is releasing the full dataset of purchases made by state agencies using their procurement cards, or P-Cards, as provided by the state comptroller’s ...
blockchain

Meta DINOv3 Release: 6.7B-Parameter Self-Supervised Vision Transformer Trained on 1.7B Images, Commercial-Use Weights, and Trading Takeaways

According to @DeepLearningAI, Meta released DINOv3, a self-supervised vision transformer that improves image embeddings for tasks like segmentation and depth estimation (source: DeepLearning.AI). The ...
Hosted on MSN

SEPTA seeks approval to use capital project funds, sets date for service to be restored

SEPTA is seeking approval from Pennsylvania Gov. Josh Shapiro's administration to use capital project money to fund operations and avoid service cuts for the next two years, the transit authority's ...
C&EN

3D Spatial Learning for Adsorption Energy Prediction in Multi-Temporal Solution Systems: The MTSS Data Set and a GCN-Based Network

Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450001, People’s Republic of China ...
GitHub

Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream ...

This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...