LLaMA 3.1 Models Released: Open Source and Comparable to GPT-4

24 July 2024
llama 3.1 human evaluation

LLaMA 3.1 Models Released: Open Source and Comparable to GPT-4

LLAMA 3,1 models has been officially released, including the massive 405 billion-parameter LLaMA 3.1 405B model. Expanded context length to 128K, support for eight languages, and the introduction of LLaMA…

Facebook AI Open-sourced Its State-of-the-art Voice Separation Model

24 December 2020

Facebook AI Open-sourced Its State-of-the-art Voice Separation Model

Researchers from Facebook AI Research, have open-sourced the implementation of the state-of-the-art voice model that can separate up to five different voices in a simultaneous conversation. In July this year,…

ReBeL: Facebook’s AI System That Can Play Chess, Poker and Go

8 December 2020

ReBeL: Facebook’s AI System That Can Play Chess, Poker and Go

Researchers from Facebook AI have developed a general AI algorithm that can play multiple different games including Chess, Poker, and Go. Beating humans in Chess and other similar games such…

Facebook Announced “The Open Catalyst Project”: Using AI For Renewable Energy

15 October 2020

Facebook Announced “The Open Catalyst Project”: Using AI For Renewable Energy

Facebook has announced a collaboration with Carnegie Mellon University on a new project called the Open Catalyst Project, whose goal is to leverage advances in AI towards the discovery of…

Facebook Researchers Used Reinforcement Learning to Accelerate MRI Scanning

5 October 2020

Facebook Researchers Used Reinforcement Learning to Accelerate MRI Scanning

A group of researchers from Facebook AI Research and McGill University has released a new state-of-the-art method for active MRI acquisition that uses Reinforcement Learning. In their novel paper, “Active…

Facebook AI Research Has Developed A New Self-Supervised Method

22 July 2020

Facebook AI Research Has Developed A New Self-Supervised Method

Researchers from Facebook AI Research have proposed a new self-supervised method for image classification that allows reaching the same accuracy as state-of-the-art models in much fewer iterations. In their recent…

Facebook AI Released PointRend: Image Segmentation as Rendering

23 June 2020

Facebook AI Released PointRend: Image Segmentation as Rendering

Researchers from Facebook AI have presented a novel image segmentation method that can produce high-quality, precise segmentation masks. The method is based on a new neural network module called PointRend,…

Facebook’s TransCoder AI Translates Code Between C++, Java and Python

16 June 2020

Facebook’s TransCoder AI Translates Code Between C++, Java and Python

Researchers from Facebook AI have developed a neural network model that can translate code from one programming language to another. Their proposed model, called TransCoder is able to translate between…

Facebook AI Open-sourced DEtection TRansformer Model (DETR)

1 June 2020

Facebook AI Open-sourced DEtection TRansformer Model (DETR)

Facebook AI has announced that they have developed a new approach to object detection called DETR which relies on Transformers to provide end-to-end object detection which matches the performance of…

Facebook AI Announced a New Challenge on Detecting Hateful Memes

15 May 2020

Facebook AI Announced a New Challenge on Detecting Hateful Memes

Facebook AI has announced the release of a new challenge and dataset called “Hateful Memes”. In their blog post, researchers from Facebook describe the new challenge as another one in…

Demucs: New Sound Source Separation Method by Facebook AI

8 March 2020

Demucs: New Sound Source Separation Method by Facebook AI

Researchers from Facebook AI have developed a new system that can do sound source separation to a very high level of accuracy. The problem of sound source separation has existed…

Facebook AI Research Released Speech Recognition Framework – Wav2letter@anywhere

14 January 2020

Facebook AI Research Released Speech Recognition Framework – Wav2letter@anywhere

Facebook AI Research (FAIR) has announced that it is open-sourcing a new inference framework for online speech recognition called wav2letter@anywhere. The framework was built with the purpose of having real-time…

Facebook AI Launches The Large Deepfake Detection Challenge

13 December 2019

Facebook AI Launches The Large Deepfake Detection Challenge

Facebook, Microsoft, Amazon, and academics from several US universities have joined forces in an effort to fight against deepfakes, and have invested in the large Deepfake Detection Challenge which was…

Facebook’s AI Bot Learned To Play A Game Cooperativelly

7 December 2019

Facebook’s AI Bot Learned To Play A Game Cooperativelly

In the beginning of this year, researchers from Google DeepMind and Google Brain have published a paper where they propose the game of Hanabi as the newest challenge for AI…

Facebook’s AI Generates Game Worlds In A Fantasy Text Game

26 November 2019

Facebook’s AI Generates Game Worlds In A Fantasy Text Game

Procedural generation of game environments and content has a number of advantages among which large amounts of content and randomness for less predictable gameplay. However procedural generation is not an…

Facebook’s DeepFovea AI Offers Power-efficient VR Foveated Rendering

22 November 2019

Facebook’s DeepFovea AI Offers Power-efficient VR Foveated Rendering

Researchers from Facebook AI Research (FAIR) have published a new method called DeepFovea, that uses deep learning for foveated rendering in augmented and virtual reality displays. Foveated rendering is a…

Facebook Uses Deep Neural Networks to Track Hand Movements in Oculus

30 September 2019

Facebook Uses Deep Neural Networks to Track Hand Movements in Oculus

Engineers from Facebook Reality Labs and Oculus have developed a fully articulated hand tracking system for Virtual Reality (VR) that is based on completely on monochrome cameras. The new system…

Deep Clustering Approach for Image Classification Task

20 September 2018
deepcluster facebook

Deep Clustering Approach for Image Classification Task

The clustering of images seems to be a well-researched topic. But in fact, little work has been done to adapt it to the end-to-end training of visual features on large-scale…