Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

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 ...

QUESTION: I’m about to get a new smartphone and want tips to make sure everything is transferred from my old phone before getting rid of it. ANSWER: Upgrading to a new smartphone is exciting, but it ...

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 ...

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!

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

A growing number of special education teachers say they use artificial intelligence platforms to draft all or part of students’ individualized education programs, even as many districts lack policies ...

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, ...