Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Vidéo
Trustworthy Machine Learning: Past, Present, and Future
For the fourth session of the Developing Secure Systems Summit Online Seminar Series, Somesh Jha talked about Trustworthy Machine Learning: Past, Present and Future.
Blog de recherche Microsoft
MPNet combines strengths of masked and permuted language modeling for language understanding
Pretrained language models have been a hot research topic in natural language processing. These models, such as BERT, are usually pretrained on large-scale language corpora with carefully designed pretraining objectives and then fine-tuned on downstream…
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MPNet implementation in Huggingface
MPNet is supported by Huggingface, one of the most popular repo for pre-trained language models. You can follow this link to have a try on MPNet via Huggingface.
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RespireNet: A Deep Neural Network for Accurate Abnormality Detection in Lung Sounds using Device specific fine-tuning
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in enabling telescreening of fatal lung diseases. Deep neural networks…
Blog de recherche Microsoft
NeurIPS 2020: Moving toward real-world reinforcement learning via batch RL, strategic exploration, and representation learning
As human beings, we encounter unfamiliar situations all the time—learning to drive, living on our own for the first time, starting a new job. And while we can anticipate what to expect based on what…
Blog de recherche Microsoft
Research Collection – Reinforcement Learning at Microsoft
Reinforcement learning is about agents taking information from the world and learning a policy for interacting with it, so that they perform better. So, you can imagine a future where, every time you type on…
