In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

This paper introduces a sensor-based approach for finding an optimized solution for online coverage path planning problem. Compared to traditional approaches we can augment. Multi-objective ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

UCLA researchers have introduced a framework for synthesizing arbitrary, spatially varying 3D point spread functions (PSFs) ...

Cartier Resources Inc. ( Cartier or the Company ) (TSXV: ECR; FSE:6CA) is pleased to present its new predictive model for the Cadillac Project in ...

The enhancements introduce a 54-qubit quantum computer powered by Crystal 54 chip, support for the software development kit Qrisp, error suppression and mitigation tools, and more The Crystal ...

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

The report 'Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, Services), Technology (Machine ...

Three leaders from Adobe Research met with Northwestern students and faculty members to discuss potential research ...

The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of ...