Neural Networks

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…

A group of researchers from MIT and IBM has developed and released a new vision dataset called ObjectNet, which causes 40-45% of accuracy drop of object detectors. The new dataset…

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…

Researchers from Google DeepMind introduced LOGAN – a game-theory motivated algorithm, which improves the state-of-the-art in GAN image generation by over 30%. LOGAN, which stands for Latent Optimization for Generative…

A group of researchers from Columbia University has proposed a new dataset and method for prediction unintentional action in video. In their paper – “Oops Predicting Unintentional Action in Video”,…

Facebook AI Research (FAIR) has published an article where they explain the AI behind Instagram’s Explore recommender system. In the article, they explain the challenges and the three major needs…

A group of researchers from the University of Edinburgh has trained a neural network to animate game characters. In their paper named “Neural State Machine for Character-Scene Interactions”, they propose…

Group of researchers from the Technical University of Munich has proposed a new state-of-the-art method for real-time action localization – YOWO (You Only Watch Once). Arguing that previous approaches decouple…

Adversarial examples are instances with small, intentional feature perturbations that cause a machine learning model to make a false prediction. A number of methods for generating but also defending from…

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…

A group of researchers from Hyperconnect has proposed MarioNETte – a neural network model that changes the facial expression of a person in an image. Given an input image and…

OpenAI has announced the release of SafetyGym – a set of environments and tools for testing reinforcement learning agents towards safety constraints during training. Considering the deployment and real-world applications…

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…

Google announced the release of BodyPix 2.0 – an update of Google’s open-source machine learning model for a real-time person and body-part segmentation in the browser. The first version of…

Google researchers have published a novel deep learning-based approach for sound pitch estimation. The novel method is in fact, the first one to be able to perform sound pitch estimation…

A group of researchers from Google Brain, PetCube and Uber has proposed a neural network model that learns and respects laws of physics. In their novel paper – “Hamiltonian Neural…

Researchers from Google Brain and Carnegie Mellon University have proposed a novel training method that improves ImageNet classification accuracy by 1%. The new state-of-the-art image classification model is built using…

A group of researchers from the University of California and NVIDIA has published a method for modeling the dance-to-music process of humans. Their model is able to learn how to…

Researchers from Northeastern University, MIT and IBM have invented adversarial T-shirts – a form of physical adversarial attack for evading people detectors. In their novel paper, named “Evading Real-Time Person…

Deezer, the French online music streaming service has announced that it is releasing Spleeter – an open-source library for sound source separation. Sound source separation is an important task in…