AI will serve humanity only if we endow our creations with moral restraint rather than mathematical optimization.
Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen adaptability, efficiency, and nimbleness of businesses.
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...
Vehicle routing optimisation encompasses a range of mathematical and computational strategies aimed at determining the most efficient routes for vehicle fleets. This field addresses challenges such as ...
Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...
As the tech industry goes all-in on artificial intelligence, you might not be surprised to learn that some of the most ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning,” presented at the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), introduces a hybrid ...
A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its implications for advanced research.
Optilogic, a leader in supply chain network design, and ORTEC, a global leader in supply chain optimization and logistics planning, ...
Engineers at the University of Pennsylvania have discovered that foams — from soap suds to food emulsions — are not static, as long assumed, but instead continuously reorganize themselves in ways that ...
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