Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

A New Reconfigurable True Random Number Generator and Physical Unclonable Function Unified Chip With On-Chip Auto-Calibration

Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...
Digital Trends

Microsoft Excel’s new import functions make handling numbers easier

If you often work with data that starts life as a text file or CSV, Microsoft Excel now has new built-in tools that simplify how that information gets pulled into a spreadsheet. The update introduces ...
IEEE

Quantum Random Number Generator with One and Two Entropy Sources

Abstract: Quantum random number generators (QRNGs) are an integral part of quantum key distribution (QKD) systems. To better understand the inherent physical processes, we compare the random numbers ...
GitHub

Java pseudo-random number generation code with minimal dependencies.

There are also releases here on GitHub if you don't use any project management tool. You will need to obtain digital as well, of the appropriate version for the ...