Turns out half my old formulas were just dynamic arrays in disguise, written the long way.

This single function can generate ordered numbers, recurring schedules, and formatted outputs that update automatically as ...

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, ...

A study has traced thousands of conserved regulatory elements back 300 million years, revealing deep principles of plant genome evolution—a discovery that could pave the way for more precise ...

A ground-breaking study has traced thousands of conserved regulatory elements back 300 million years, revealing deep principles of plant genome evolution – a discovery that could pave the way for more ...

Department of Computer Science and Mathematics, Fairmont State University, Fairmont, WV, USA. We study a classical trace-zero spectrum that has played a central role in the analysis of the 5 × 5 ...

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...

In recent years, the integration of computational and machine learning techniques has dramatically advanced our understanding of protein function and engineering. As proteins underpin virtually every ...

Function raises $10M led by Galaxy Digital to help institutions earn yield on bitcoin using FBTC, a fully backed, custody-safe DeFi product. Function, a crypto infrastructure startup, has raised $10 ...

Designing accurate all-atom protein structures is a critical challenge in bioengineering, as it involves generating both 3D structural data and 1D sequence information to define side-chain atom ...