AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...

Researchers create a never-before-seen molecule and prove its exotic nature with quantum computing

An international team of scientists from IBM, The University of Manchester, Oxford University, ETH Zurich, EPFL and the University of Regensburg have created and characterized a molecule unlike any ...
Devdiscourse

Big Data and AI propel geoscience into new digital era

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Scientists Create Chip That Generates Brand-New Colors of Light, Cracking a Decades-Old Nonlinear Optics Challenge

By harnessing two natural timescales in resonator arrays, researchers created photonic chips that reliably produce multiple harmonics without active compensation. For decades, scientists and engineers ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Morning Overview on MSN

Giant gravity anomaly under Antarctica is intensifying, scientists warn

A peer-reviewed study published in Scientific Reports has reconstructed the evolution of the Antarctic Geoid Low, the strongest negative gravity anomaly on Earth, over approximately 70 million years, ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Frontiers

Analysis of microbiome high-dimensional experimental design data using generalized linear models and ANOVA simultaneous component analysis

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...
IEEE

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach

Abstract: Kernel-based subspace clustering, which addresses the nonlinear structures in data, is an evolving area of research. Despite noteworthy progressions, prevailing methodologies predominantly ...
Searchenginejournal.com

How LLMs Interpret Content: How To Structure Information For AI Search

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your visibility in AI results. In the SEO world, when we talk about how to structure ...