A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

Explore Deepseek 3.2’s transformative features, from cost reductions to enhanced creative and technical performance.

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

Jake Fillery is an Evergreen Editor for Game Rant who has been writing lists, guides, and reviews since 2022. With thousands of engaging articles and guides, Jake loves conversations surrounding all ...

Abstract: We have developed an innovative framework for analyzing online public sentiment, referred to as the Online Public Opinion Situation Assessment (OPOSA) model. This model employs Deep Sparse ...

This repository helps interpret SAEs and transcoders trained on protein-level representations from ESM2 using both GO Analysis and automated LLM-assisted interpretations, and SAEs trained on amino ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

Introduction: Predicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ...

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...