Abstract: In recent years, deep learning on protein structures has attracted widespread attention, as structures determine proteins' function. A series of structure-based protein property prediction ...

Abstract: Causal structure learning (CSL), a prominent technique for encoding cause-and-effect relationships among variables, through Bayesian Networks (BNs). Although recovering causal structure ...

Have you ever sensed your company’s innovation efforts stalling—not because of a lack of effort, but because something in the process feels off? Most leaders understand that innovation requires ...

Trimble introduced the 2025 version of Tekla Structures, its structural building information modeling (BIM) software. The new version introduces AI-enabled tools to improve productivity and more ...

Systemic, structural change has always been a part of the perspective of the Greater Good Science Center. In a 2022 essay, editor Jeremy Adam Smith defines structural forces in the context of our work ...

Our brain's remarkable ability to form and store memories has long fascinated scientists, yet most of the microscopic mechanisms behind memory and learning processes remain a mystery. Recent research ...

“Avoid the passive voice” is a favorite maxim of writing teachers. But for young learners, exposure to passive construction—and other more complex sentences in spoken language—may help children ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

ABSTRACT: Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...