UCLA scientists mined millions of electronic health records and uncovered four distinct “roadways” that funnel people toward ...

The goal of the Patterns and Anomalies pattern of AI is to use machine learning and other cognitive approaches to learn patterns in the data and discover higher order connections between that data ...

Designs with LogicBIST exhibit random pattern resistance because of the random nature of LBIST vectors, thus leading to low fault coverage. To handle this, we insert test points with the help of ...

This spatial point pattern test is not for the purpose of testing point patterns with the null hypotheses of random, uniform, or clustered distributions, but may be used to compare a particular point ...

This paper focuses on the random point pattern detection problems. Based on the characteristics of random point patterns, a multi-feature likelihood ratio rando ...

Logic BIST (LBIST) is a well-stablished traditional solution for meeting automotive testing standards. However, using pseudo-random LBIST patterns can be challenging when trying to achieve ...

It’s 8-bit output can be used as a random sequencer for DIY CMOS synths. This pattern generator is suited to to be used in combination with a 4051 8-channel analog multiplexer.

Scientists have developed a system that can generate random numbers over a hundred times faster than current technologies, paving the way towards faster, cheaper, and more secure data encryption ...

No, the patterns computers create are not an inherent property of data, they are an emergent property of the structure of the program itself.

Pareidolia is the phenomenon in which people see faces or other patterns in ambiguous images, such as Jesus on toast or the man in the moon.