Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Vidéo
[REFAI Seminar 06/08/21] Transformer efficiency: From model compression to training acceleration
06/08/21 Yu Cheng, Microsoft Research “Transformer efficiency: From model compression to training acceleration” More Info about REFAI Seminar: https://sites.google.com/site/boyuaneecs/efficient-ai-seminar-talk?authuser=0
Vidéo
At the Frontiers of Science: Exciting Advances in Protein Design
Eric Horvitz, chief scientific officer of Microsoft, and David Baker, director of the Baker Lab and Institute for Protein Design at the University of Washington, discuss recent advancements with harnessing machine learning for protein design,…
Événement
MSR Asia Theory Lecture Series
MSR Asia Theory Lecture Series is a forum where we invite researchers around the world to share the latest theoretical advances in big data, artificial intelligence, and related areas. The Lecture series are broadcast live…
Vidéo
[CVPR 2020 Tutorial] Talk #4 Text-to-Image Generation by Yu Cheng
[CVPR 2020 Tutorial] Recent Advances in Vision-and-Language Research Talk #4 Text-to-Image Generation Presenter: Yu Cheng (Microsoft) Tutorial Website: https://rohit497.github.io/Recent-Advances-in-Vision-and-Language-Research/
Blog de recherche Microsoft
DeepSpeed Compression: A composable library for extreme compression and zero-cost quantization
Large-scale models are revolutionizing deep learning and AI research, driving major improvements in language understanding, generating creative texts, multi-lingual translation and many more. But despite their remarkable capabilities, the models’ large size creates latency and…
Vidéo
Using platform models responsibly: Developer tools with human-AI partnership at the center
How we develop AI systems is changing. We can do it faster and more easily than before thanks to the emergence of platform models—that is, large-scale models that are trained on vast and diverse amounts…
