Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Consumer Brain-Computer Interfaces: From Science Fiction to Reality
Current communication technologies often suffer from being impersonal and non-contextual. Using on-body sensors for implicit or explicit sensing to transfer information, sense context, cognitive states, attention or engagement, open the possibility to enhance technologies for…
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Machine Learning for Systems and Tiered AIOps
Resource Central is a general ML and prediction-serving system deployed in Azure Compute. It trains ML models offline and uses them to produce predictions online.
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Calling all aspiring women in Data Science
What started as a one-day conference organized by Stanford University in 2015, Women in Data Science (WiDS) has blossomed into a movement bringing together women data scientists and aspiring data scientists via a series of…
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Neuro-Symbolic Computation for Inference Reasoning
The project focuses on the integration of neuroscience and symbolic computation for modeling generation, especially, inference reasoning in the Natural Language Processing and multi-modality.
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Multi-Task Deep Neural Networks for Natural Language Understanding
This PyTorch package implements the Multi-Task Deep Neural Networks (MT-DNN) for Natural Language Understanding.
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Predicting the ‘holy grail’ of climate forecasting: A new model and a new public dataset
It was crunch time, just as it had been many times before in the preceding weeks. Such is the nature of real-time competition. The yearlong Subseasonal Climate Forecast Rodeo was being sponsored by the Bureau…
