A familiar New York Times playbook — verticals, bundles and slow iteration — is taking shape at CNN as the network looks beyond cable ...

This repository is the pytorch implementation for the crowd counting model, LSC-CNN, proposed in the paper - Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. If you ...

This paper presents a deep learning framework using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for crop yield prediction based on environmental data and management ...

Abstract: The forecast of frost occurrence requires complex decision analysis that uses conditional probabilities ... is used to detect frost events with Convolutional Neural Network (CNN). We have ...

The new analysis, from the Democratic-leaning data firm Catalist, bolsters the case that consistent voters are increasingly Democratic in the Trump era. It finds that nearly half of the 2024 ...

These were startling words from a man purportedly on the path to peace. But it is the nub of Russian President Vladimir Putin’s position of what must be solved for peace, after two weeks, or ...

You can use the library simply to download and work with datasets from OpenAlex. The library can download these datasets and cache them on the computer automatically ...

As Python’s popularity soars to an all-time high, the language gains a new lock file format, two Rust-based type checkers, a speedy partner in Zig, and a slew of proposals to improve performance ...