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Institute-wide effort will study the evolution of jobs in an age of technological advancement.

Gift will help launch new Institute-wide initiative in human and machine intelligence research.

Automated data science tools developed by MIT and Feature Labs deliver their first AI product.

A star-studded lineup helps the Institute celebrate the launch of a new initiative on human and machine intelligence.

Popular generative model learning methods such as Generative Adversarial Networks (GANs), and Variational Autoencoders (VAE) enforce the latent representation to follow simple distributions such as isotropic Gaussian. In this paper, we argue that learning a complicated distribution over the latent...

This paper provides an overview of prominent deep learning toolkits and, in particular, reports on recent publications that contributed open source software for implementing tasks that are common in intelligent user interfaces (IUI). We provide a scientific reference for researchers and software...

Generative adversarial networks are used to generate images but still their convergence properties are not well understood. There have been a few studies who intended to investigate the stability properties of GANs as a dynamical system. This short writing can be seen in that direction. Among the...

Startup’s platform crunches anonymized smartphone GPS data to understand how people shop, work, and live.

At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.

Semantic segmentation is a fundamental task in computer vision, which can be considered as a per-pixel classification problem. Recently, although fully convolutional neural network (FCN) based approaches have made remarkable progress in such task, aggregating local and contextual information in...

Nearest neighbor searching of large databases in high-dimensional spaces is inherently difficult due to the curse of dimensionality. A flavor of approximation is, therefore, necessary to practically solve the problem of nearest neighbor search. In this paper, we propose a novel yet simple indexing...

In recent years, deep learning has become a very active research tool which is used in many image processing fields. In this paper, we propose an effective image fusion method using a deep learning framework to generate a single image which contains all the features from infrared and visible images...

With the entry into force of the General Data Protection Regulation (GDPR), in the May 25th 2018, the European Parliament, together with the Council of the European Union and the European Commission, aim to strengthen the data protection for all the European citizens. The organizations or...