MSRGamut
GAMUT is a prototype to help people explore General Additive Models, an class of interpretable machine learning models. We’ve included an interactive web site which allows people to explore the models for different data sets.…
Can Machines Perceive Emotion?
Many tech companies are trying to build machines that detect people’s emotions, using techniques from artificial intelligence. Some companies claim to have succeeded already. Dr. Lisa Feldman Barrett evaluates these claims against the latest scientific…
Turing-NLG: A 17-billion-parameter language model by Microsoft
This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream…
ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. Microsoft is releasing an open-source…
Intentional Meetings
Exploring how to make remote and hybrid telepresence meetings engaging, effective, adaptive, and inclusive.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. 10x Larger Models 5x Faster Training Minimal Code Change DeepSpeed can train DL models with over a hundred billion parameters…
Synapse Machine Learning
SynapseML is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark (opens in new tab) in several new directions. SynapseML adds many deep learning and data science tools to the Spark…
Microsoft Scheduler and dawn of Intelligent PDAs with Dr. Pamela Bhattacharya
In a world where productivity is paramount and only a handful of people have personal assistants, many of us are frustrated by the amount of time we spend in meetings, and worse, the amount time…