Jigsaw fixes bugs in machine-written software
| Rahul Sharma, Suresh Parthasarathy, Sriram Rajamani, Nagarajan Natarajan, and Arun Iyer
Large pre-trained language models such as GPT-3, Codex, and others can be tuned to generate code from natural language specifications of programmer intent. Such automated models have the potential to improve productivity for every programmer in the world. But since…
Just Tech: Centering Community-Driven Innovation at the Margins episode 2 with Dr. Tawanna Dillahunt, Zachary Rowe, and Joanna Velazquez
In “Just Tech: Centering Community-Driven Innovation at the Margins,” Senior Principal Researcher Mary L. Gray explores how technology and community intertwine and the role technology can play in supporting community-driven innovation and community-based organizations. Dr. Gray and her team are…
In the news | Arabian Business
The metaverse will strengthen relationships, empower people, and help tackle global crises: experts
With the metaverse becoming more of a reality every day, the opportunities presented by that digital world have become the key focus among multinational corporates and the public sector alike as both entities look to manage the space while regulating…
In the news | Microsoft Dynamics 365 Blog
Microsoft AI-assisted bracket exceeds 99.9997% of others in basketball tournament
Every year, millions of basketball fans fill out brackets for the Division I Men’s College Basketball Tournament hoping to predict the team that will win it all. The Microsoft Business Applications Applied AI group has joined in on the fun,…
In the news | Microsoft Power Apps
Behind the Scenes – What it Takes to Teach GPT-3 How to Build Low-Code Apps
Last year, we announced the public preview of Power Apps Ideas, which enables Power Apps makers to take advantage of Microsoft AI technologies that make it easy to write Power Fx formulas with no-code. In this article, we’re going to…
In the news | MICROSOFT AZURE BLOG
Diversifying the telecommunications supply chain with Open RAN
Over the past few years, there has been an increasingly steady drumbeat for the need to diversify and open the telecommunications supply chain. A key part of this supply chain that can be diversified is radio access network (RAN), where…
Segmenting objects in images is a fundamental step that researchers have taken towards achieving scene understanding and has played a crucial role in numerous vision systems. The most common approach in this line of research is to classify individual pixels…
Awards | Committee of President of Statistical Societies
Lester Mackey selected to the 2022 COPSS Leadership Academy
Lester Mackey was selected to be a member of the 2022 COPSS Leadership Academy. Started in 2021, the Academy is comprised of emerging leaders who play an important role in shaping the future of the statistics discipline. This is an…
Imitation learning has proven to be effective for learning sequential decision-making policies directly from expert demonstrations, reducing the need for costly and risky environmental interactions. Behavioral cloning is a simple form of imitation learning and learns a policy by solving…