AI for AI: Metareasoning for modular computing systems
A new document in a word processor can be a magical thing, a blank page onto which thoughts and ideas are put forth as quickly as we can input text. We can select words and…
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.