Although artificial neural networks are powerful classifiers, their internal structures are hard to interpret. In the life sciences, extensive knowledge of cell biology provides an opportunity to ...

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...

Traditionally, clock domain crossing (CDC) verification at the SoC level has relied on flat simulation runs. But flat CDC verification has run out of gas. Largely because of the increase in the number ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk assessment, achieving systematic evaluation and preventive ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...