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AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied.
An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...
Opinion
1dOpinion
Space.com on MSNAstronomy has a major data problem – simulating realistic images of the sky can help train algorithmsPhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...
The Eclipse Foundation's Jakarta EE Working Group releases Jakarta EE 11, the latest version of its enterprise Java platform.
Phys.org on MSN20d
Coordinating computers in a relativistic universe: Expert ponders how algorithms might function across spaceIts unusual, and often counterintuitive, effects that warp our perception of time and space must factor into how computer scientists can design, verify, and understand algorithms distributed across ...
Researchers from more than 50 international institutions have launched Open Problems, a collaborative open-source platform to ...
Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, their ...
The paper is dedicated to assessing the computational complexity of the genetic algorithm as one of the key tools for solving optimization problems. The main types of algorithmic complexity are ...
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