In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

Every crystal’s shape is a mirror of the internal arrangement of their molecules, but the molecules in photoswitchable ...

Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...

Simulation results show enhanced logical error suppression and real-time decoding potential ...

The era of fake news and deepfakes is not a temporary crisis but a permanent reality for brands, leaders, investors and media.

Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...

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 ...

Engineers at the University of California have developed a new data structure and compression technique that enables the field of pangenomics to handle unprecedented scales of genetic information. The ...

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, ...

Abstract: Recently, the proposal of the least mean square (LMS) and recursive least squares (RLS) algorithm for graph signal processing (GSP) provides excellent solutions for processing signals ...

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