To build a flexible and interpretable model for document analysis, we develop deep autoencoding topic model (DATM) that uses a hierarchy of gamma distributions to construct its multi-stochastic-layer generative network. In order to provide scalable posterior inference for the parameters of the generative network, we develop topic-layer-adaptive stochastic gradient Riemannian MCMC that jointly learns simplex-constrained global parameters across all layers and topics, with topic and layer specific learning rates. Given a posterior sample of the global parameters, in order to efficiently infer the local latent representations of a document under DATM across all stochastic layers, we propose a Weibull upward-downward variational encoder that deterministically propagates information upward via a deep neural network, followed by a Weibull distribution based stochastic downward generative model. To jointly model documents and their associated labels, we further propose supervised DATM that enhances the discriminative power of its latent representations. The efficacy and scalability of our models are demonstrated on both unsupervised and supervised learning tasks on big corpora.

Kinaxis has pushed artificial intelligence and machine learning development to optimize its software product.

So I'm quite into how newly-announced roguelikelike action-platformer Source Of Madness uses machine learning and procedural generation to spit …

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches.

Deep Instinct's platform is based on deep learning, the branch of AI that enables a computing system to process data and signals and organize the …

Trusted Business Insights presents an updated and Latest Study on Machine Learning Market 2019-2026.

There is something so awe-inspiring and sublime about watching unmanned drones or flying cars or the stuff of dreams. Now, you don't need to worry as the future of Artificial Intelligence is here. From visors to Virtual Reality or Augmented Reality headsets to mechanized robots which would replace humans in the immediate future. One prominent example of the lure and reach that Artificial Technology has is that we grapple with it daily; we are oblivious to that fact. A restaurant in Indira Nagar in the hinterland of Bangalore is robot-centric wherein your food is served by this.

Data science is a combination of various machine learning principles along with tools and algorithms to analyze raw data and conclude hidden patterns or predictions. Data science does not only provide predictive casual analytics and perspective analytics but also machine learning for making predictions and pattern discovery. With these complex and meaningful analytics, it finds the critical insights out of anything that can help to enhance the value. There are a huge number of blogs that talk about all these data science projects and helps to enlighten its users about the new technology. Data science is an evergrowing field of computer science, and it is difficult to keep pace with the trendy additions all the time. The below-mentioned blogs of data science will help you to keep updated and stay ahead in the competition. After acquiring Datascence.com back in 2018, Oracle started focusing on the utilization of Machine learning for its customers. Oracle always wanted to enable people to leverage the power of AI with the combination of big data and data analytics. This big data blog can be seen as a part of this goal as it emphasizes the impact of big data and AI on various applications of our regular life. Besides, how we can transform the data catalog to get more insight from a business alongside the extraction of business value is discussed in Oracle AI and Data Science Blog. If you are planning to start your career in this field, you can follow this blog as you will get everything that you must understand to become a data scientist in 2020. This Belgium based data science community is publishing big data-related content to minimize the gap between data science and common people since 2015. The blogs are available for free, and you will get all of them in their archives. They are intended to generate solutions for the challenges that we face in our day-to-day life through data analytics. They are focused on educating and empowering people while the scholar and professionals are also included among their target audience. It can be seen as a bridge between academics and business as it highlights the power of big data and the value it can add to any business. NGO workers, business leaders, data enthusiasts, university professors, and also Ph.D. students share their skills and experiences through this blog.