Learn what AI tools developers are leveraging in 2025 to streamline workflows, solve complex problems, and redefine coding ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

The methodology is based on forecasts of photovoltaic generation, changes in market prices and application of linear programming. The example of maximizing one week’s cash flow proves the importance ...

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren't immediately obvious—a challenge University of Toronto researchers aim to ...

A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation microelectronic devices, or discover materials that boost the performance of quantum ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Palladyne AI's low-code robotics platform enables operators and engineers to train robots in minutes, not weeks, enabling flexible automation in high-mix manufacturing ...

The development of prodrugs — chemically modified versions of pharmacologically active agents that must undergo transformationin vivoto release the active drug — is a well-established strategy ...

The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

Motion control is hardly a small matter to get to grips with in today’s ever-more automated age. Indeed, it has been ...

A Fantasy Premier League team optimiser that uses Bayesian hierarchical modelling and linear programming.