Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...

Whether on the patio with a cool summer breeze or gathered around a coffee table by the fire on a chilly night, there’s something special about game night with loved ones. Until, of course, you can’t ...

Deep learning architectures like CNNs and Transformers have significantly advanced biological sequence modeling by capturing local and long-range dependencies. However, their application in biological ...

We cover the most cutting edge academic research and expert blog posts on serialization. Also big fans of the Serial pod (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with ...

MicroRNAs (miRNAs) are of significance in tuning and buffering gene expression. Despite abundant analysis tools that have been developed in the last two decades, plant miRNA identification from ...

Reasoning efficiently across extended sequences is a major difficulty in machine learning. Recently, convolutions have emerged as a critical primitive for sequence modeling, supporting ...

Assassin’s Creed 2 is one of the most renowned entries in the Assassin’s Creed series. It’s where fans were introduced to the intoxicating Ezio and followed 30 years of his life. However, it was also ...

Abstract: The Fast Fourier Transform (FFT)-based convolution is the most popular fast convolution algorithm. In past work, we developed the Discrete Hirschman Transform (DHT)-based convolution. When ...

Abstract: Sequences that possess the ideal periodic cross-correlation function (PCCF) property are desired to a multiuser communication system. In comparison, sequences that are applied for channel ...