Stranger Things was a generational event that barreled into a series finale with almost impossible expectations surrounding ...

Our goal with CosmeticAI™ was to make cosmetic ingredient development predictable rather than exploratory” — Dr. Lurong Pan, CEO of Ainnocence SAN FRANSICO, CA, UNITED STATES, January 1, 2026 ...

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 ...

The introduction of dynamic arrays triggered the biggest change to how we work with Microsoft Excel formulas in years, if not decades. They allow a single formula to spill multiple results into ...

Abstract: Aperiodic autocorrelation is an important indicator of performance of sequences used in communications, remote sensing, and scientific instrumentation. Knowing a sequence’s autocorrelation ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The EOMONTH function in Microsoft Excel returns the last day of a month in the past, the current month, or a month in the future. Whether you need to calculate end-of-month due dates, deadlines, ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...

Abstract: This study proposes a deep learning-based genome sequence function prediction model and systematically evaluates its performance. The study begins with an overview of the importance of ...

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 ...