MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a groundbreaking nonlinear quantum optimization algorithm based on ...

The mathematics of graphs has helped reveal a principle that limits the strength of quantum correlations – and explains why ...

A team of researchers at Nagoya University has discovered something surprising. If you have two tiny vibrating elements, each ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are ...

Adjusting for the chart’s trendline, the projected price at age 16.33 years is $351,046 in 2025, a 5.2x increase from $68,000 ...

It uses expander graph mappings and feature interpolation to preserve data distribution and feature relationships. The model leverages neural networks' non-linear latent space, captured by a Koopman ...

In the study, Shaffer and the team showed 57 doctors how a hypothetical patient's blood pressure data would change over time using two different types of graphs. One raw graph showed the actual ...

Picasso: Slimming the Data To lighten the computational burden, the PNNL team turned to a type of algorithm known as graph coloring—a specialty of Ferdous and Halappanavar. That approach allows ...

Our algorithm is a tool for efficient hybrid computing, where we use classical computation to prepare quantum data for quantum computing." To lighten the computational burden, the PNNL team turned to ...

due to their exceptional ability to handle graph-structured data. However, as GNN models become more widely used, the issue of dataset leakage has become increasingly prominent, posing significant ...