Dec. 2, 2024 — A researcher has helped create a new 3D printing approach for shape-changing materials that are likened to muscles, opening the door for improved applications in robotics as well ...

In this paper, we introduce a novel time-series prediction framework that integrates feature engineering with an attentive graph neural network (GNN) to enhance the accuracy and efficiency of SOH ...

LinkedIn Distinguished Engineer, Donald Thompson, has identified the next phase of enterprise transformation: the cognitive era. Cognitive transformation signals a change in how businesses use ...

The Graph price prediction anticipates a high of $0.2640 by the end of 2024. In 2027, it will range between $0.7517 and $0.9167, with an average price of $0.7737. In 2030, it will range between $2.22 ...

From designing and creating games, mobile apps, websites, robots, or internet-connected devices of all kinds, to exploring visual communication and design, the transdisciplinary BS in Creative ...

The database for modern applications. Common use cases: knowledge graphs for AI, fraud detection, personalization, and search. Built and maintained by @hypermodeinc.

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of ...

Ansys has been awarded a contract to supply digital engineering solutions to the Microelectronics Commons to advance national security. The Commons network will have access to nearly 90% of the Ansys ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Jeff Tompkins is a writer and teacher of English as a Second Language living in New York City. He was born in Hartford, Connecticut, in 1967 and was educated at Brown University and University ...