This new scholarship program, announced at [F8](https://www.f8.com/), the Facebook Developer Conference in San Jose, will enable students to acquire skills in Federated Learning, Differential Privacy, and Encrypted Computation with the benefit of robust community support from Udacity. You will learn how to use the newest privacy-preserving technologies, such as [OpenMined’s](https://openmined.org/) PySyft. [PySyft](https://github.com/OpenMined/PySyft) extends [PyTorch](https://pytorch.org/) and other deep learning tools with the cryptographic and distributed technologies necessary to safely and securely train AI models on distributed private data while maintaining users’ privacy. Students will also have the opportunity to earn their way to a full scholarship to either the[ Deep Learning Nanodegree program](https://www.udacity.com/course/deep-learning-nanodegree--nd101) or the [Computer Vision Nanodegree program](https://www.udacity.com/course/computer-vision-nanodegree--nd891) with Udacity.

#FacebookAI #Udacity #AIScholarship #PrivateAI

New deep learning framework from Facebook

Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source #PyTorch framework, the modular, plug-and-play design enables researchers to quickly build, reproduce, and benchmark AI models. #Pythia is designed for vision and language tasks, such as answering questions related to visual data and automatically generating image captions.

Link: https://code.fb.com/ai-research/pythia/
GitHub: https://github.com/facebookresearch/pythia

#Facebook #FacebookAI #DL #CV #multimodal

Neural Code Search: ML-based code search using natural language queries

https://ai.facebook.com/blog/neural-code-search-ml-based-code-search-using-natural-language-queries #DeepLearning #MachineLearning

#FacebookAI #DevC #MontrealAI