Facebook AI Open-Sources ‘Droidlet’, A Platform For Building Robots With Natural Language Processing And...

Robots today have been programmed to vacuum the floor or perform a preset dance, but there is still much work to be...

Facebook AI Introduces DrQ-v2, A Model-Free Reinforcement Learning Algorithm For Visual Continuous Control

One challenge in the field of reinforcement learning (RL) is that high-dimensional observations are difficult to control. The last three years have...

Facebook AI Introduces few-shot NAS (Neural Architecture Search)

Neural Architecture Search (NAS) has recently become an interesting area of deep learning research, offering promising results. One such approach, Vanilla NAS,...

Facebook AI Introduces ‘ConViT’, A Computer Vision Model That Improves Vision Transformers (ViT) With...

The Facebook AI Research team has developed a new computer vision model called ConViT. The ConViT system combines two widely used architectures...

Researchers at Facebook AI, UC Berkeley, and Carnegie Mellon University Announced Rapid Motor Adaptation...

To achieve success in the real world, walking robots must adapt to whatever surfaces they encounter, objects they carry, and conditions they...

Facebook AI Releases ‘BlenderBot 2.0’: An Open Source Chatbot That Builds Long-Term Memory And...

The GPT-3 and BlenderBot 1.0 models are extremely forgetful, but that's not the worst of it! They're also known to "hallucinate" knowledge...

Researchers From Facebook AI Research and UIUC Propose ‘MaskFormer’, A Mask Classification Model That...

In recent years, semantic segmentation has become an important tool for computer vision. One type of the technique is called per-pixel classification...

Facebook AI Introduces Habitat 2.0: Next-Generation Simulation Platform Provides Faster Training For AI Agents...

Facebook recently announced Habitat 2.0, a next-generation simulation platform that lets AI researchers teach machines to navigate through photo-realistic 3D virtual environments...

Facebook AI Research and Mila – McGill University Collaborate to Explore Anytime Learning at...

Large-scale training data is essential for building efficient deep learning models. In classical training frameworks, this training data is thought to arrive...

Facebook AI’s New Compositional Framework Can Generalize Attribute-Object Pairs To Unseen Combinations

One of the crucial ways to make it easier for customers to shop online today is to improve product recognition. People could...

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