This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Scientists at the University of Illinois at Urbana-Champaign have developed deep generative models to predict undiscovered sequences of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ...

For many laboratories in the developing world, lack of funding and practical experience are hurdles to generating their own DNA sequence data. However, the financial, technical, and logistical burden ...

DNA strands of well-defined sequence are valuable in synthetic biology and nanostructure assembly. Drawing inspiration from solid-phase synthesis, here we describe a DNA assembly method that uses time ...

Researchers at the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health (NIH), have produced the first end-to-end DNA sequence of a human chromosome. The results ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Random numbers are used in several important technologies including cryptography and numerical simulation. However, large sequences of truly random numbers are notoriously difficult to generate – and ...