Zero Knowledge Proof, Digitap, BlockDAG, and Bitcoin Hyper. Dive into their real progress and long-term potential.

Abstract: Directed Acyclic Graphs (DAGs) are widely utilized across various domains for tasks such as graph algorithms, data flow analysis, program optimization, and machine learning. Representing ...

BlockDAG listing date in febraury confirm? CEO full focus on mainnet launch and TGE as presale ends Jan 26, 2026. Public ...

Zug, Switzerland, Dec. 22, 2025 (GLOBE NEWSWIRE) -- On December 7, 2025, the IEEE P3271.01 Working Group was honored with the ...

1Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada. 2International Collaboration on Repair Discoveries ...

Abstract: Signal processing on directed acyclic graphs (DAGs) presents unique challenges. Unlike for undirected graphs, the Laplacian matrix of a DAG lacks a complete eigenbasis in general, and the ...

Three directors are credited for Pixar’s latest film, but not all are listed onscreen at the same time. Here’s the back story. By Esther Zuckerman After the emotionally resonant final moment of ...

Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...

Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...