Sparse coding is a popular technique for achieving compact data representation and has been used in many applications. However, the instability issue often causes degeneration in practice and thus ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

If the second quarter had any lessons for investors, one of the most important was the value of keeping a long-term ...

Seen as a long strand with smaller threads branching, the Quipu superstructure contains 68 galaxy clusters spanning 1.4 ...

A Loughborough University student has developed a new medical device that could transform how prostate health is assessed and ...

XLP is a good choice at a strategic level considering the sector’s resilience during downturns and its reasonable valuation.

Overview of Structural Health Monitoring MarketThe global Structural Health Monitoring Market is valued at USD 3.68 Billion ...

The latest version introduces Microsoft Word integration, DICOM Modality Worklist, and HL7 inbound scheduling support.

Discover Recall, the ultimate AI tool for bookmarking, note-taking, and content management. Save, organize, and summarize ...

Mayank Kumar is the Founding AI Engineer at DeepTempo, where he leads the design and development of the company’s ...

Term ​From a technical standpoint, Bitcoin may struggle to decisively breach this resistance in the near term. A fai ...