Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...

We investigate glucose-insulin regulation through a delay differential equation model formulated in Sobolev spaces. A physiologically motivated time delay is incorporated into an advanced modeling ...

Abstract: Industrial robots often face challenges in high-precision tasks due to low absolute positioning accuracy. While model-based parameter identification is commonly used for calibration due to ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

TIOBE Programming Index News June 2025: SQL Falls to Record Low Popularity Your email has been sent The programming language SQL hit 12th place in the TIOBE Programming Community Index, its lowest ...

ABSTRACT: With the rapid development of global economic integration and digital technology, the transportation system, as a core component of the supply chain, has become a key factor influencing the ...

The estimation of joint torque based on wearable sensors is an important content in human–robot interaction research. Despite existing joint torque estimation models providing high accuracy, their ...