Research Focus: Week of June 19, 2023

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article NEW RESOURCE Responsible AI Maturity Model As the use of AI continues to surge, new government regulations are expected. But the organizations that build and use AI  

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DeepSpeed ZeRO++: A leap in speed for LLM and chat model training with 4X less communication

Figure 1: Picture of ZeRO++ project highlights. Left top subfigure shows ZeRO++ reduce communication volume by 4x compared with ZeRO stage 3. Right top subfigure shows ZeRO++ performance on RLHF model training, where ZeRO++ achieves 1.3x speedup for RLHF training and 2.x speedup for token generation. Large AI models are transforming the digital world. Generative language models like Turing-NLG, ChatGPT, and GPT-4, powered by large language models (LLMs), are incredibly versatile, capable of performing tasks like summarization, coding, and translation. […]

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Collaborators: Renewable energy storage with Bichlien Nguyen and David Kwabi

Today I’m talking to Dr. Bichlien Nguyen, a Principal Researcher at Microsoft Research, and Dr. David Kwabi, an Assistant Professor of Mechanical Engineering at the University of Michigan. Bichlien and David are collaborating on a fascinating project under the umbrella of the Microsoft Climate Research Initiative that brings organic chemistry and machine learning together to discover new forms of renewable energy storage. Before we unpack the “computational design and characterization of organic electrolytes for flow batteries and carbon capture,” let’s […]

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Microsoft at CVPR 2023: Pushing the boundaries of computer vision

In the vast realm of artificial intelligence, few fields have captivated our imagination and pushed the boundaries of possibility quite like computer vision. At the core of this domain of research and innovation lies the ambition to empower technologies for real-world vision-based systems, enabling machines to take in and respond to visual stimuli with unparalleled precision and sophistication. Through the combination of AI, deep learning, and vast amounts  

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Improving Subseasonal Forecasting with Machine Learning

This content was previously published by Nature Portfolio and Springer Nature Communities on Nature Portfolio Earth and Environment Community. Improving our ability to forecast the weather and climate is of interest to all sectors of the economy and to government agencies from the local to the national level. Weather forecasts zero to ten days ahead and climate forecasts seasons to decades ahead are currently used operationally in decision-making, and the accuracy and reliability of these forecasts has improved consistently in recent […]

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Accounting for past imaging studies: Enhancing radiology AI and reporting

The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology. The goal in the radiology setting is to produce rich training signals without requiring manual labels so the models can learn to accurately recognize and locate findings in the images and relate them to content in radiology reports. Radiologists use radiology reports to describe imaging […]

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AI Frontiers: The future of causal reasoning with Emre Kiciman and Amit Sharma

[MUSIC FADES] Emre, Amit, let’s jump right in. I’m so excited to speak with you both about causal reasoning. And this is such a timely conversation because we’re living through the rise of generative pretrained models, specifically large language models. And when I’ve engaged with GPT-4 in dialogue, depending on what I ask, it can appear to be doing something resembling causal reasoning. And as a machine learning person myself, I have to say this is not something that I’d expected […]

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Research Focus: Week of June 5, 2023

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article PODCAST  The GPT-x Revolution in Medicine, with Peter Lee  Microsoft Research’s Peter Lee recently sat down to discuss the impact of GPT-4 and large language  

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3D telemedicine brings better care to underserved and rural communities, even across continents

Introduction Providing healthcare in remote or rural areas is challenging, particularly specialized medicine and surgical procedures. Patients may need to travel long distances just to get to medical facilities and to communicate with caregivers. They may not arrive in time to receive essential information before their medical appointments and may have to return home before they can receive crucial follow-up care at the hospital. Some patients may wait several days just to meet with their surgeon. This is a very […]

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Research Focus: Week of May 22, 2023

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article NEW RESEARCH Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman, Robert Ness, Amit Sharma, Chenhao Tan Recent  

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