Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Concurrent Action-Oriented Specifications (CAOS) model the behavior of a synchronous hardware circuit as asynchronous guarded at an abstraction level higher than the Register Tran...
In a behavioral synthesis system, a typical approach used to guide the scheduler is to impose hard constraints on the relative timing between operations considering performance, a...
Developers who write code in a statically typed language are denied the ability to obtain dynamic feedback by executing their code during periods when it fails the static type che...
Planning as Satisfiability is one of the most well-known and effective techniques for classical planning: satplan has been the winning system in the deterministic track for optim...