Studying a decision in archerfish reveals an impressive potential of learning capacities and cognitive aspects that are unexpected for decisions made at reflex speed.

Faced with inflation, labor shortages and mounting infrastructure needs, local governments must find smarter ways to manage ...

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the ...

Mathematical programming with vanishing constraints ... problems where certain constraints become inactive—or “vanish”—depending on specific configurations of the decision variables.

Mathematical programming with vanishing constraints (MPVC): A class of optimisation problems where certain constraints may become inactive (vanish) depending on the values of the decision ...

Asking Eric: It’s unreasonable to expect them to change to suit your poor decision-making. Published: Jun. 04, 2025, 7:30 a.m. I've made a huge mistake. Getty Images. By . R. Eric Thomas; ...

The size and complexity of energy system optimization models have increased significantly in recent years, driven by the availability of high-resolution spatial data. We present complexity reduction ...

Nonetheless, when care ethics is deployed as one lens among many to aid in ethical decision-making, as the Markkula Center’s Framework suggests (instead of as merely a stand-alone theory in ...

While the answer of TypeScript’s creators is “yes,” academic researchers who work on similar programming languages tend to loudly assert “No, run-time checks should prevent such misapplications.” ...

In order to improve the performance and reliability of the decision-making process for autonomous vehicles, a decision-making method using deep reinforcement learning (DRL) and combining path ...