The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...
DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
A new computer model developed by US researchers could reduce the amount of material for bridges and buildings by up to 90 percent and make future structures far more efficient. The approach was ...
In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...
So what does it actually take to discover fashion's next faces? We spoke with four casting directors working across both ...
Mathematicians are challenging the idea that dark energy is responsible for the accelerating expansion of the universe. In a new paper published in Proceedings of the Royal Society A, mathematicians ...
Flow is a state of optimal experience characterized by deep concentration, immersion, and intrinsic enjoyment, and it is widely regarded as a key psychological mechanism that promotes learning ...
The adoption of automation in software testing presents challenges that can hinder its effectiveness and scalability. This study systematically investigates these challenges using a multi-phase ...
“Multiscale Structural Mechanics: Top-Down Modeling of Composite Structures Using Mechanics of Structure Genome” delivers a unified approach to composites modeling based on the concept of structure ...
ABSTRACT: This study examines the impact of job stress on employee turnover intention in Bangladesh’s garments sector, integrating the Job Demands-Resources (JD-R) model to explore the mediating role ...
This paper introduces the Israeli Structural Model (ISM), a New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model tailored to reflect key characteristics of the Israeli economy. The ISM ...
Abstract: This study offers a causal probabilistic modeling for inferring the relationship between humans' cognitive load, the physiological signal predictors of such load, and personality traits. We ...