An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to minimize ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...

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 ...

Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, and ...

This paper develops an adaptive integral sliding mode control scheme to manipulate the cable-driven robots, realizing robust parallel cooperation performance for the variable loads. The considered ...

Artificial intelligence is a branch of computer science that deals with computer systems programmed to learn and perform tasks that normally require human intelligence.

In his recent paper, which he presented on June 18 at the Association for Computing Machinery's Symposium on Principles of Distributed Computing in June, Jayanti establishes a connection between the ...

OpenSMT supports a range of interpolation algorithms for propositional logic, linear real arithmetic, and uninterpreted functions with equality. When using OpenSMT as an executable, interpolation is ...