This manuscript addresses an important question in clinical neuroscience: the use of the theta/beta ratio as a biomarker of attention deficit hyperactivity disorder (ADHD). The study takes an ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Tutor Intelligence is running 100 Sonny semi-humanoid robots in its headquarters while sharing technology and data with its ...

Astronomers using a machine learning algorithm have identified 11,554 potential exoplanets from NASA's TESS data, including 10,052 never seen before. The approach analyzed light curves from over 83 ...

The (Energy-Conscious Computational Algorithms & Sustainable Science) has been awarded a grant from NWO’s Sustainable Science ...

South African performance marketing agency unveils proprietary platform that tracks how brands appear across ChatGPT, Perplexity, Gemini and Claude, signalling a new era for organic marketing ...

Data is the fuel that drives modern businesses. But with so much information at their fingertips, how do businesses make sense of it all? Traditionally, data analysis has been a time-consuming process ...

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 ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...