Below please find an index of news and awards that recognize Microsoft researchers’ contribution to scientific research and commitment to advancing computer science.
Microsoft has released a new open-source library called DeepSpeed, which, when combined with its ‘ZeRO’ module can train 100 billion parameter models without using the resources traditionally associated with that.
Microsoft has revealed its largest deep learning language model, the Turing Natural Language Generation (T-NLG), which is claimed to have a record-breaking 17 billion parameters. The T-NLG, according to Microsoft, outperforms the largest deep learning models to date: the University of Washington’s…
Microsoft Research today announced DeepSpeed, a new deep learning optimization library that can train massive 100-billion-parameter models. In AI, you need to have larger natural language models for better accuracy. But training larger natural language…
Microsoft AI & Research today shared what it calls the largest Transformer-based language generation model ever and open-sourced a deep learning library named DeepSpeed to make distributed training of large models easier.
Microsoft has released DeepSpeed, a new deep learning optimization library for PyTorch, that is designed to reduce memory use and train models with better parallelism on existing hardware.
Abigail (Abi) Sellen, Deputy Director and Principal Researcher, was elected as an international member of the National Academy of Engineering (NAE), “for contributions that ensure consideration of human capabilities in the design of computer systems.” The…
Susan Dumais, Technical Fellow and Director of the Microsoft Research Labs in New England, New York City and Montréal, and adjunct professor at the University of Washington, received the SIGCHI Lifetime Research Award. This is…
Meredith (Merrie) Ringel Morris, Sr. Principal Researcher & Research Manager, and Steven Drucker, Partner Research Manager, were both inducted into the CHI Academy. The CHI Academy is an honorary group of individuals who have made…
