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Superhuman Code, Semantic Analyzers, and Automated Debugging: How Machine Programming Will Change the Future of Electronic Engineering

What if we could improve engineering productivity by 1000% and decrease debugging by 50%? In this week’s podcast, we investigate how machine programming will help us do all of this and more!  Justin Gottschlich (Principal AI Scientist & Director/Founder of Machine Programming Research at Intel Labs) joins me for a deep dive into the world of machine programming. We take a closer look at the motivation behind the development of this pioneering research initiative, the details of Intel’s open source machine programming research system called ControlFlag and why Justin believes that automated debugging and performance extraction will unlock untold possibilities in the realm of software and hardware development.

Click here to download this episode

 

Links for November 12, 2021

Newly Open-Sourced ControlFlag Identifies Hundreds of Defects in Production-Quality Software

The Three Pillars of Machine Programming Provide Core Concepts for Research Advances

Intel Labs ControlFlag (Github) 

More information about Intel Labs

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