The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric sparse matrix-vector multiplication (SSYMV), ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

The model first preprocesses the input graph, and uses symmetric normalization and feature normalization to remove deviations in the structure and features. Then, by designing a high-order adjacency ...

Dubai Culture and Arts Authority (Dubai Culture) is celebrating a vibrant spectrum of artistic experiences at the 13th Sikka ...

Random Matrix Theory (RMT) is a mathematical framework ... suggesting a deeper underlying structure in these systems. Moreover, the jellium model, which describes particles in a harmonic potential ...

Prof. Dan Shechtman of the Technion–Israel Institute of Technology made the discovery that would later earn him the 2011 ...

Megakaryocytes form a three-dimensional (3D) cage composed of laminin and collagen IV connected to the basement membrane surrounding them. This microarchitecture stabilizes megakaryocytes within their ...

What is the Pay Matrix of the 8th Pay Commission ... Commission is poised to bring substantial enhancements to the salary structure of central government employees, aiming to improve financial ...