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DIA 2021 Global Annual Meeting


Microsoft Innovation Theater: Massive Deep Learning Language Models and the Application to Life Sciences

Session Chair(s)

  Microsoft Corporation

Microsoft Corporation

  • Microsoft Corporation, United States
Massive deep learning language models, such as BERT and GPT-3, have improved the state of the art on nearly every natural language processing task. Microsoft continues to advance this field and believe that better natural language generation can be transformational for a variety of life science applications. Microsoft Project Turing is introducing Turing Natural Language Generation (T-NLG), one of the largest models ever published at 17 billion parameters, which outperforms the state of the art on a variety of benchmarks and excels when applied to practical tasks in life sciences.

Speaker(s)

Mario  Inchiosa

Mario Inchiosa

  • Principal Data Scientist
  • Microsoft, United States
Casey  King

Casey King

  • Director of Strategy and Innovation, Office of the CTO, HLS
  • Microsoft, United States
Robert  Horton

Robert Horton

  • Senior Data and Applied Scientist
  • Microsoft, United States