Much research in AI lately focuses on extending the capabilities of deep learning architectures: moving beyond simple classification and pattern recognition into the realm of learning algorithmic tasks, such as inductive programming. Building on our past work in neural program synthesis for learning string transformations…
During the Tang dynasty of China, which lasted from 618 to 907, the poet Jia Dao was known for polishing his poems over and over to make them better and better. One famous story describes how he deliberated over two lines of a poem that…
News portals that simultaneously personalize every part of the landing page for every visitor and mobile health apps that adaptively tweak every part of an exercise regimen to maximize the benefit of every user are becoming plausible due to an advance in a type of…
Recent methods in artificial intelligence enable AI software to produce rich and creative digital artifacts such as text and images painted from scratch. One technique used in creating these artifacts are generative adversarial networks (GANs). Today at NIPS 2017, researchers from Microsoft Research and ETH…
Today, at HotNets 2017, the Sixteenth ACM Workshop on Hot Topics in Networks, we shared with you some important research results from Microsoft Research and Microsoft Azure that show how we can increase the capacity of optical networks without purchasing new fibers. Data, data, data –…
Reasoning about figures Almost every scientific publication is accompanied by data visualizations in the form of graphs and charts. Figures are an intuitive aid for understanding the content of documents, so naturally, it is useful to leverage this visual information for machine reading comprehension. To enable…
Earlier this year, we open-sourced a research project called AirSim, a high-fidelity system for testing the safety of artificial intelligence systems. AirSim provides realistic environments, vehicle dynamics and sensing for research into how autonomous vehicles that use AI that can operate safely in the open…
Microsoft researchers have developed a new method for discovering software security vulnerabilities that uses machine learning and deep neural networks to help the system root out bugs better by learning from past experience. This new research project, called neural fuzzing, is designed to augment traditional…
By Microsoft Research Lab - Cambridge and Department of Bioengineering, Rice University The binding of DNA strands by Watson-Crick base pairing is a fundamental process in biotechnology, which is used around the world for reading and writing DNA sequences and for assembling DNA nanostructures. Yet…
At the 26th ACM Annual Symposium on Operating Systems and Principles, better known as SOSP 2017, my colleagues described a new technology called CrystalNet - a high-fidelity, cloud-scale emulator that helps network engineers nearly eliminate network downtime related to routine maintenance and upgrades as well…
On August 15, the sixth annual Microsoft Beauty of Programming Challenge — a programming competition for college students in Asia — came to a close. This year's theme focused on artificial intelligence question and answer (Q&A) projects. The challenge asked each team to create a…
A few years ago, my group in Microsoft’s research organization began to experiment with tools that make it possible for kids to learn how to code in the context of Minecraft, the wildly popular game where players build fantastical virtual worlds out of digital…
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