Toward deep-learning models that can reason about code more

Toward deep-learning models that can reason about code more like humans


Caption:
A framework built by MIT and IBM researchers finds and fixes weaknesses in automated programming tools that leave them open to attack. One tool (pictured) reads along as programmers write and suggests code. Here, it picks a function among thousands of options in Python’s NumPy library that best suits the task at hand.
Credits:
Image: Shashank Srikant
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Whatever business a company may be in, software plays an increasingly vital role, from managing inventory to interfacing with customers. Software developers, as a result, are in greater demand than ever, and that’s driving the push to automate some of the easier tasks that take up their time. 

Related Keywords

Sijia Liu , Shashank Srikant , International Conference On Learning Representations , Watson Ai Lab , Department Of Electrical Engineering , Visual Studio , Electrical Engineering , Una Mayo Reilly , International Conference , ஷாஷாங்க் ஸ்ரீகாந்த் , வாட்சன் ஐ ஆய்வகம் , துறை ஆஃப் மின் பொறியியல் , காட்சி ஸ்டுடியோ , மின் பொறியியல் , ஊன மயோ ரெய்லி , சர்வதேச மாநாடு ,

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