Microsoft Research Blog

Traditional cellular network infrastructure compared to cellular network infrastructure in the Microsoft cloud Two graphics. The first depicts traditional cellular network infrastructure, beginning with cell towers receiving data and transferring it to physical buildings--local hubs, then central exchanges and finally data centers. The second depicts cloudified cellular network infrastructure, with cell towers transmitting data to telco edges and Microsoft edges. This is also labelled "RAN in the cloud". The data then flows to the Microsoft cloud, including core network and OSS/BSS as a service.

Project Arno: How Microsoft Research created the technology and industry momentum for Azure to empower telecom operators in the cloud

July 19, 2021 by Yongguang Zhang and Bozidar Radunovic

Editor’s note: In recent years, telecommunications operators have faced a growing challenge to meet surging global demand for immersive online services and collaboration tools. Upgrading their proprietary networks to prepare for 5G and beyond would require major capital expenditures, even as competition was driving down…

On infinitely wide neural networks that exhibit feature learning

In the pursuit of learning about fundamentals of the natural world, scientists have had success with coming at discoveries from both a bottom-up and top-down approach. Neuroscience is a great example of the former. Spanish anatomist Santiago Ramón y Cajal discovered the neuron in the…

July 22, 2021 by Edward Hu and Greg Yang
Lecture series aims to help spur dialogue around race and technology

Race and Technology: A Research Lecture Series features 14 distinguished scholars and domain experts from a diverse range of research areas and disciplines. From top left: Dr. Sareeta Amrute, Dr. Kim TallBear, Dr. Charlton McIlwain, Dr. Ruha Benjamin, Dr. Lisa Nakamura, Dr. Simone Browne, and…

July 21, 2021
Project Arno: How Microsoft Research created the technology and industry momentum for Azure to empower telecom operators in the cloud

Editor’s note: In recent years, telecommunications operators have faced a growing challenge to meet surging global demand for immersive online services and collaboration tools. Upgrading their proprietary networks to prepare for 5G and beyond would require major capital expenditures, even as competition was driving down…

July 19, 2021 by Yongguang Zhang and Bozidar Radunovic

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CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning

The ability to reason about causality, and ask ``what would happen if…?’’ is one property that sets human intelligence apart from artificial intelligence. Modern AI algorithms perform well on clearly defined pattern recognition tasks but fall short generalizing in the ways that human intelligence can.…

June 29, 2021
Microsoft LReasoner leads the ReClor challenge on logical reasoning

For many years AI researchers have sought to build upon traditional machine learning, which trains technology to process facts and learn from them, and develop machine reasoning, in which programs apply logic to data and solve problems – comparable to the way humans think. For…

June 24, 2021 by Natural Language Computing Group
SOLOIST: Pairing transfer learning and machine teaching to advance task bots at scale

The increasing use of personal assistants and messaging applications has spurred interest in building task-oriented dialog systems (or task bots) that can communicate with users through natural language to accomplish a wide range of tasks, such as restaurant booking, weather query, flight booking, or IT…

June 16, 2021
How can generative adversarial networks learn real-life distributions easily

A Generative adversarial network, or GAN, is one of the most powerful machine learning models proposed by Goodfellow et al. for learning to generate samples from complicated real-world distributions. GANs have sparked millions of applications, ranging from generating realistic images or cartoon characters to text-to-image…

June 10, 2021 by Zeyuan Allen-Zhu and Yuanzhi Li
Building stronger semantic understanding into text game reinforcement learning agents

AI agents capable of understanding natural language, communicating, and accomplishing tasks hold the promise of revolutionizing the way we interact with computers in our everyday lives. Text-based games, such as the Zork series, act as testbeds for development of novel learning agents capable of understanding…

June 7, 2021 by Matthew Hausknecht, Karthik Narasimhan, and Shunyu Yao
Creating the Future of Software Development

“If you think about the world that we’re in now, software plays a key role in our lives – in everything we do. And at the core of solving big problems and fundamental challenges is the ability to use software to attack the problem and…

May 26, 2021
DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression

Last month, the DeepSpeed Team announced ZeRO-Infinity, a step forward in training models with tens of trillions of parameters. In addition to creating optimizations for scale, our team strives to introduce features that also improve speed, cost, and usability. As the DeepSpeed optimization library evolves,…

May 24, 2021 by DeepSpeed Team, Rangan Majumder, and Andrey Proskurin
CHI 2021: Redefining accessibility to build more inclusive technologies

Accessibility and inclusion represent a growing space in the technology landscape, and how research and development are being used to empower people across abilities is expanding in exciting ways. Instead of treating disabilities as conditions in need of solutions—as has been the case over the…

May 21, 2021
Anticipate, absorb, and adapt—introducing the societal resilience research agenda

The genetic sequence for COVID-19 was first published in January 2020. Before the end of the year, new vaccines—which typically take five to ten years to develop—were approved for emergency use in multiple nations. This astounding achievement is emblematic of a “reset” in the relationship…

May 20, 2021 by Peter Lee

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