Innovation by (and beyond) the numbers: A history of research collaborations in Excel

Microsoft Excel is one of the world’s most important software tools, relied upon users worldwide to create, understand, model, predict, and collaborate. As the Excel team works to leverage new areas of computer science – advancements in programming languages, NLP, Artificial Intelligence, Machine Learning – they turned to Microsoft Research both to leverage the incredible work done in the organization as well as to help co-create a vision for what Excel should look like years into the future. The Excel team has […]

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Factorized layers revisited: Compressing deep networks without playing the lottery

From BiT (928 million parameters) to GPT-3 (175 billion parameters), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even climate impact. As a result, we’re witnessing exciting and emerging research into compressing these models to make them less expensive, small enough to store on any device, and more energy efficient. Perhaps the most popular approach to model compression is pruning, in which […]

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Advancing organizational science using network machine learning to measure innovation in the workplace

Is innovation another loss due to the global COVID-19 pandemic? Indicators reveal challenges to overcome—as well as opportunities to build on our collective experience gained in the last year. Measuring collaboration using network machine learning provides a powerful diagnostic tool to address issues as they arise. One challenge lies in how we build relationships in the workplace. With many transitioning to work-from-home environments, more flexible schedules, and new methods of working, there is evidence that interactions at work have been […]

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Learning visuomotor policies for autonomous systems from event-based cameras

Editor’s note: This research was conducted by Sai Vemprala, Senior Researcher, and Ashish Kapoor, Partner Researcher, of Microsoft Research along with Sami Mian, who was a PhD Researcher at the University of Pittsburgh and an intern at Microsoft at the time of the work. Autonomous systems are composed of complex perception-action loops, where observations of the world need to be processed in real time to result in safe and effective actions. A significant amount of research has focused on creating […]

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Multilingualism in Natural Language Processing targeting low resource Indian languages

Introduction Language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages believed to be spoken across the globe. Despite this diversity, the majority of the world’s population speaks only a fraction of these languages. In Spite of such a rich diversity Languages are still evolving across time much like the society we live in. While the English language is uniform, having the distinct status of being the official language of multiple […]

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Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel

Overview Excel is the perfect fit for building your time series forecasting models We’ll discuss exponential smoothing models for time series forecasting, including the math behind them We’ll also implement these exponential smoothing models in MS Excel   Introduction Time series in Excel – just seems like a natural fit, right? We see and design line charts in Excel all the time – from sales forecasts to revenue reviews – it all fits into how we think about using Excel […]

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