February 21-23, 2024
Montreal, Canada
Deepdive into Snyk Code - symbolic & neural AI
Symbolic techniques perform explainable predictions and the models are essentially immune to hallucinations. But, they require significant manual effort to scale (languages, frameworks, analysis & ruleset). Neural techniques are a promising new venture, however, their capabilities to discover bugs in code are limited by hallucinations and in the end are not significantly better than guessing. Let's combine them to overcome the shortcomings.
Marcus Boerger
Snyk
Born in Germany, I worked for Google for over a decade as a C++ Staff Software Engineer, Uber Tech Lead and Tech Lead Manager. I am recognized as a PHP language designer and avid Open Source contributor. I presented over 50 talks and workshops at international conferences such as Confoo. Having worked in Australia for a few years, I moved back to Zurich (where skiing is just closer). There I joined Snyk, a Software security company. I am still driving C++ and Python capabilities to the extreme.
Montreal 2024 sponsored by
