Ruchir Puri

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Continuing the momentum of AI for Code with Project Wisdom

Kickstarting AI for Code: Introducing IBM’s Project CodeNet

IBM Developer Blog

IBM CodeNet empowers AI to tackle programming

Functional analysis of code

Code representation learning

Code translation

NeurIPS 2022

MRS-J 2022

AAAI 2023

ACML 2022

Hybrid Cloud

Foundation Models

AI for Code

AI can help sift through the noise to identify significant patterns in the increasingly large pools of data generated by enterprises. We’re reimagining IT operations, using AI to automate core processes, better detection and diagnosis, preformance monitoring, and explainable action recommendations.

AI for IT

Modern computing architectures are revolutionizing the way business gets done. We’re working on tools to help businesses automate much of their daily processes, to save time and drive new insights through trusted, safe, and explainable AI systems.

AI for Business Automation

Most enterprises rely on large volumes of aging code that are a challenge to debug, maintain, and update. At IBM Research, we’re using AI to help modernize software stacks, designing automated programming and refactoring systems to help businesses keep up with the speed of modern life. 

There’s an ever-increasing demand on business systems to keep up with the speed of the web. We’re designing systems to help organizations modernize their applications, while reducing the time it takes businesses to rebuild their products to take advantage of the benefits of the hybrid cloud. 

Application Modernization

The hybrid cloud can help businesses tap into the potential of the cloud, while retaining the benefits of private environments. At IBM Research, we’re pursuing open-source standards and code to create an agile and scalable platform that can be deployed anywhere.

Hybrid Cloud Platform

A large-scale dataset with approximately 14 million code samples, each of which is an intended solution to one of 4000 coding problems. Rich annotation enables research in code search, code completion, code-code translation, and myriad other use cases. 

Project CodeNet

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