Algorithm finds smallest dataset that guarantees optimal solutions to complex problems

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...
Opinion
Stanford Social Innovation ReviewOpinion

Breaking the Algorithmic Contract

It’s useful to think of our engagement with algorithms as a social contract. Political theorists have long used the social contract as a device to explain why individuals submit to the authority of a ...
IEEE

Collaborative Penetration Algorithm with Dominant Region Analysis Embedded in Deep Reinforcement Learning

Abstract: The problem of UAV attack-defense confrontation is a hot research direction in the field of unmanned systems at present. However, in an environment with threat areas or obstacles, when the ...

New Quantum Algorithm Could Explain Why Matter Exists at All

Researchers used IBM’s quantum computers to create scalable quantum circuits that simulate matter under extreme conditions, offering new insight into fundamental forces and the origins of the universe ...
University of Surrey

Nicolò Bernardini

Nicolò Bernardini, Edoardo Ciccarelli, Nicola Baresi, Roberto Armellin (2023)SUCCESSIVE CONVEX PROGRAMMING FOR HIGH-ORDER GUIDANCE AND NAVIGATION OF SATELLITES, In: Proceedings of the 2023 AAS/AIAA ...
techxplore

AI teaches itself and outperforms human-designed algorithms

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
IEEE

A Comprehensive Review of Transformer Design Optimization Using Evolutionary Algorithms: Advances, Challenges, and Future Directions

Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.