Tech Times on MSN

Hybrid hash function locks collision resistance behind two independent math problems

Hybrid hash function post-quantum cryptography research: a new paper on IACR ePrint formalizes a construction whose collision resistance simultaneously requires breaking both the elliptic-curve ...
Ars Technica

Next GPU releases: 2025 edition

He believes nVidia is desperate. There are no longer any quick wins in process node or design to drive sales of anything. Jensen's lies about Moore's Law being dead were just that - lies. Moore's Law ...
Forbes

AI Solved A Mathematical Problem That Had Stumped The World’s Best Minds For Decades

Forbes contributors publish independent expert analyses and insights. Anisha Sircar is a journalist covering tech, finance and society. This voice experience is generated by AI. Learn more. This voice ...
Simon Fraser University

Marni Mishna

I am a professor in mathematics at Simon Fraser University, located in Burnaby Canada, on the unceded traditional territories of the Coast Salish peoples, including the səlilwətaɬ (Tsleil-Waututh), ...
PNAS

Unified protein–small molecule graph neural networks for binding site prediction

Accurately identifying small molecule binding sites on proteins is fundamental to understanding protein function and enabling structure-based drug discovery, yet this critical step remains a major ...
Investopedia

Discrete Probability Distribution: Overview and Examples

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Eric's career includes extensive work in both public and ...
Investopedia

Uniform Distribution: Definition, How It Works, and Examples

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...
C&EN

Accurate Prediction of NMR Chemical Shifts: Integrating DFT Calculations with Three-Dimensional Graph Neural Networks

Department of Chemistry, New York University, New York, New York 10003, United States Department of Chemistry, New York University, New York, New York 10003, United States Simons Center for ...
GitHub

DiGress: Discrete Denoising diffusion models for graph generation

Update (Nov 20th, 2023): Working with large graphs (more than 100-200 nodes)? Consider using SparseDiff, a sparse version of DiGress: https://github.com/qym7 ...
Frontiers

Efficient graph convolutional networks for seizure prediction using scalp EEG

Epilepsy is a chronic brain disease that causes persistent and severe damage to the physical and mental health of patients. Daily effective prediction of epileptic seizures is crucial for epilepsy ...
IEEE

Graph Convolutional Network Discrete Hashing for Cross-Modal Retrieval

Abstract: With the rapid development of deep neural networks, cross-modal hashing has made great progress. However, the information of different types of data is asymmetrical, that is to say, if the ...
IEEE

Distributed Cooperative Learning for Discrete-Time Strict-Feedback Multi Agent Systems Over Directed Graphs

Abstract: This paper focuses on the distributed cooperative learning (DCL) problem for a class of discrete-time strict-feedback multi-agent systems under directed graphs. Compared with the previous ...