by Eran Yahav on Aug 22, 2019 | Tags: code completion, machine learning, neural networks, program synthesis, programming, static analysis
The wealth of code now available on-line is fertile ground to enable machine learning to be applied to programming tasks. This post discusses the promise of and some progress on the problem “deep code.” It is the first in a series.
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by James Bornholt on Jul 31, 2019 | Tags: formal verification, machine learning, program synthesis, theorem proving
Program synthesis addresses an age-old problem in computer science: can a computer program itself? This post surveys the growing evolution of work in this exciting area.
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by Swarat Chaudhuri on Jun 24, 2019 | Tags: AI safety, formal verification, machine learning
In the last few years, there have been many anxious ruminations about AI safety. To a significant extent, these fears come from the realization that modern AI systems can be alarmingly brittle. For example, a deep neural net used for image classification can produce...
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