We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some…

Peter Ondruska, Director, Research

Facebook researchers have created an AI tool that analyzes sample images and then recommends easy changes to a person's outfit to make it more stylish.

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs - nianticlabs/depth-hints

AI-generated images have never looked better. Explore and download our diverse, copyright-free headshot images from our production-ready database.

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP - graykode/nlp-roadmap

Faculty in MIT’s School of Humanities, Arts, and Social Sciences envision how the humanistic fields can help shape the MIT Schwarzman College of Computing — and benefit from advanced computing technologies.

We’ve used novel machine learning and tracking architectures to develop a new, fully articulated hand-tracking system for VR.

A game theoretic approach to explain the output of any machine learning model. - shap/shap

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❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers

Weights & Biases blog post (the notebook is available too!)
- https://www.wandb.com/articles/visualize-xgboost-in-one-line
- https://colab.research.google.com/d…

Probability for Machine Learning Crash Course. Get on top of the probability used in machine learning in 7 days. Probability is a field of mathematics that is universally agreed to be the bedrock for machine learning. Although probability is a large field…

We are releasing a new benchmark and dataset to evaluate performance across various neural code search techniques to make it easier to evaluate a new model on a common set of questions.

Decisions based on machine learning (ML) are potentially advantageous over human decisions, as they do not suffer from the same subjectivity, and can be more accurate and easier to analyse. At the same time, data used to train ML systems often contain human…

We are open-sourcing Detectron2, the second-generation of our widely used object-recognition platform. Detectron2 has been rewritten from the ground up in PyTorch to enable faster model iteration and deployment.

The mere idea of AI-synthesized media is already making people stop believing that real things are real