OpenClaw, formerly Moltbot, has burst into the mainstream. Here’s everything you need to know about the viral AI agent now ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

The Ohio State Buckeyes continue to make moves with the NCAA Transfer Portal still open. Their latest acquisition could spell some unfortunate news coming down the pipeline, though. Veteran tight end ...

Abstract: In the poultry food industry, eggshell color is recognized as a crucial quality indicator that influences consumer preference and market value. Traditional classification methods, such as ...

Spotify announced on Wednesday that, for the first time, it’s giving users more control over the streaming service’s algorithm. That’s at least how the company is framing the launch of its new ...

Nvidia (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial advancement to the platform since its release about 20 years ago. "This exciting ...

Pope Leo XIV is on the side of the angels when it comes to matters of cinema. Last Saturday, after he gathered some of the film world’s luminaries at the Vatican, the pontiff delivered one of the most ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Pope Leo XIV on Thursday urged young people to cultivate their “interior life” and to listen to their restlessness without “fleeing from it” or “filling it” with things that don’t satisfy, lest they ...

A few years back, Google made waves when it claimed that some of its hardware had achieved quantum supremacy, performing operations that would be effectively impossible to simulate on a classical ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...