Powered by recent advances in code-generating models, AI assistants like Github Copilot
promise to change the face of programming forever. But what is this new face of …

Modern program synthesizers are increasingly delivering on their promise of lightening the
burden of programming by automatically generating code, but little research has addressed …

It is imperative to democratize robotic process automation (RPA), as RPA has become a
main driver of the digital transformation but is still technically very demanding to construct …

Projections of computer languages are tools that help users interact with representations
that better fit their needs than plain text. We collected 62 projections from the literature and …

Many problem domains, including program synthesis and rewrite-based optimization,
require searching astronomically large spaces of programs. Existing approaches often rely …

A growing set of tasks that once depended critically on human cognition can now be
effectively accomplished by automated systems, either independently or in partnership with …

The goal of programmatic Learning from Demonstration (LfD) is to learn a policy in a
programming language that can be used to control a robot's behavior from a set of user …

Static Analysis tools have rules for several code quality issues and these rules are created
by experts manually. In this paper, we address the problem of automatic synthesis of code …

Neural networks are successful in various tasks but are also susceptible to adversarial
examples. An adversarial example is generated by adding a small perturbation to a correctly …

The increasing use of information technology has led to a significant share of energy
consumption and carbon emissions from data centers. These contributions are expected to …