Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Blog de recherche Microsoft
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…
Publication
Document AI: Benchmarks, Models and Applications
Projet
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…
Vidéo
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…
Vidéo
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.…
Vidéo
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…
Vidéo
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…
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Research talk: Towards Self-Learning End-to-end Dialog Systems
At present, deep neural networks have become prevalent for building AI systems for vision, language and multimodality. However, how to build efficient and task-oriented models are still challenging problems for researchers. In these lightning talks,…
Vidéo
Keynote: ReduNet: Deep (convolutional) networks from the principle of rate reduction
In this talk, we will offer an entirely white-box interpretation of deep (convolutional) networks from the perspective of data compression and group invariance. We’ll show how modern deep-layered architectures, linear (convolutional) operators and nonlinear activations,…
Vidéo
Research talk: Learning and pretraining strategies for dense retrieval in search and beyond
In this talk, we’ll quickly go through our recent observations and findings with dense retrieval. First, we’ll recap the standard setup and training strategies for dense retrieval models in search. We’ll then share our recent…
