Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

FTMixer: Frequency and Time Domain Representations Fusion for Time Series Forecasting

Abstract: Time series data can be represented in both the time and frequency domains, with the time domainemphasizing local dependencies and the frequency domain highlighting global dependencies. To ...
GitHub

Neural Chess Tablebase Compression

Compressing chess endgame tablebases and universal evaluation with Relational Graph Neural Networks (RGNN), attention mechanisms, and triple-head outputs. Neural Tablebases explores whether chess ...
IEEE

A STacked Adaptive Residual PINN (STAR-PINN) Approach to 2D Time-Domain Magnetic Diffusion in Nonlinear Materials

Abstract: This work explores the use of Physics-Informed Neural Networks (PINNs) and a newly proposed approach, called the STacked Adaptive Residual PINN (STAR-PINN), to solve magnetic diffusion ...
Quanta Magazine

Entanglement Builds Space-Time. Now “Magic” Gives It Gravity.

In 1973, John Archibald Wheeler described the relationship between space and matter in two sentences: “Space acts on matter, telling it how to move. In turn, matter reacts back on space, telling it ...
Nature

Large-scale portfolio optimization using Pauli correlation encoding

Portfolio optimization is a cornerstone of financial decision-making, traditionally relying on classical algorithms to balance risk and return. Recent advances in quantum computing offer a promising ...