Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Aerial Wildlife Detection
AIDE: Annotation Interface for Data-driven Ecology – Tools for detecting wildlife in aerial images using active learning
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SynapseML: A simple, multilingual, and massively parallel machine learning library
Today, we’re excited to announce the release of SynapseML (previously MMLSpark), an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. Building production-ready distributed ML pipelines can be difficult, even for…
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Enhancer-Promoter Pair
EP-pair (AKA gene regulation modeling): gene regulation leads to the creation of different cell types that possess different gene expression profiles from the same genome sequence in multicellular organisms. The process is essential for cellular…
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Research talk: The science behind semantic search: How AI from Microsoft Bing is powering Azure Cognitive Search
Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. As part of our AI at…
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Roundtable discussion: Beyond language models: Knowledge, multiple modalities, and more
In this roundtable discussion, we will discuss the current state-of-the-art in language models (LMs) and how the lack of external and commonsense knowledge is a limiting factor in several applications, including open domain question answering.…
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Closing remarks: Towards Human-Like Visual Learning and Reasoning
Big data-driven deep learning has helped significantly improve the performance of visual tasks in the past few years, but it has also exhibited limitations in scalability and adaptation to real-world scenarios. Researchers and practitioners are…
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Research talk: Causal ML and business
Using machine learning for causal inference can, in a subset of cases with rich data, replicate results from A/B experimentation. For other cases, like identifying the “average treatment effect for compliers” ML offers more limited…
