Microsoft at KDD 2023: Advancing health at the speed of AI

This content was given as a keynote at the Workshop of Applied Data Science for Healthcare and covered during a tutorial at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, a premier forum for advancement, education, and adoption of the discipline of knowledge discovering and data mining. Recent and noteworthy advancements in generative AI and large language models (LLMs) are leading to profound transformations in various domains. This blog explores how these breakthroughs can accelerate progress in […]

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Collaborators: Data-driven decision-making with Jina Suh and Shamsi Iqbal

I’m here today with Dr. Jina Suh, a Principal Researcher in the Human Understanding and Empathy group at Microsoft Research, and Dr. Shamsi Iqbal, the Principal Applied and Data Science Manager for the Viva Insights team in the Microsoft Data Platform and Growth organization. Jina and Shamsi are collaborating on a research project for Viva Insights that they hope will help people leaders reduce uncertainties and make informed and data-driven decisions for their teams. Before we unpack how they hope […]

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Introduction Tutorial to Hugging Face Datasets Library

What is Hugging Face Datasets Library? Hugging Face is quite popular for providing ready-to-use pre-trained Transformer models. However, Hugging Face is also a great place to find datasets for your machine learning and it provides a library called Datasets for easy data access, management, preprocessing, caching, etc. Some of the advantages of using the Hugging Face Datasets library are – 1. Disk-Based Storage One of the most important features of the Dataset library is its efficient data access.    

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Research Focus: Week of July 31, 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 Protecting the web from malicious activities such as bots or DoS attacks is an important goal. Researchers and practitioners have identified different approaches to balance user  

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A fail-in-place approach for sustainable server operations

This research paper was presented at the 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI), a premier forum for discussing the design, implementation, and implications of systems software. Cloud platforms aim to provide a seamless user experience, alleviating the challenge and complexity of managing physical servers in datacenters. Hardware failures are one such challenge,  

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Python Numpy Ravel() Explained for Beginners

Introduction Numpy Ravel() function is used to flatten a multi-dimensional Numpy array into a 1-D array. While flattening the array, it only returns a view of the original array and not a new copy. In this article, we will explore the syntax and various use cases of the np.ravel() function, with detailed examples to explain its functionality. Syntax The syntax for Ravel flatten() is as below : numpy.ravel(a, order=’C’) Parameters: a: This is the input    

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Microsoft at ICML 2023: Discoveries and advancements in machine learning

Machine learning’s rapid emergence and pervasive impact has revolutionized industries and societies across the globe. Its ability to extract insights, recognize patterns, and make intelligent predictions from vast amounts of data has paved the way for a new era of progress. From traffic and weather prediction to speech pattern recognition and advanced medical diagnostics, machine learning has been shattering the boundaries of possibility, inviting us to explore new frontiers of innovation. The International Conference on Machine Learning (ICML 2023) serves […]

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Collaborators: Gaming AI with Haiyan Zhang

I’m delighted to be back in the booth today with Haiyan Zhang. When we last talked, Haiyan was Director of Innovation at Microsoft Research Cambridge in the UK and Technical Advisor to Lab Director Chris Bishop. In 2020, she moved across the pond and into the role of Chief of Staff for Microsoft Gaming. Now she’s the General Manager of Gaming AI at Xbox, and I normally say, let’s meet our collaborators right now, but today, we’ll be exploring several […]

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Research Focus: Week of July 17, 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 RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking Retrosynthesis is an important task in organic chemistry. It’s designed to propose a list  

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Numpy Flatten Tutorial | numpy.ndarray.flatten()

Introduction In Python Numpy library numpy.ndarray.flatten() is used to flatten multi-dimensional arrays into one-dimensional arrays. In this article, we will explore the syntax, functionality, and various examples of np.flatten() function. Syntax The syntax for Numpy flatten() is straightforward as shown below : numpy.ndarray.flatten(order=’C’) Parameters: order (optional): The order parameter determines how elements are arranged in the flattened array. It can take any of the following values: ‘C’: This is the default order and    

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