To train an inference network jointly with a deep generative topic model, making it both scalable to big corpora and fast in out-of-sample prediction, we develop Weibull hybrid autoencoding inference (WHAI) for deep latent Dirichlet allocation, which infers posterior samples via a hybrid of stochastic-gradient MCMC and autoencoding variational Bayes. The generative network of WHAI has a hierarchy of gamma distributions, while the inference network of WHAI is a Weibull upward-downward variational autoencoder, which integrates a deterministic-upward deep neural network, and a stochastic-downward deep generative model based on a hierarchy of Weibull distributions. The Weibull distribution can be used to well approximate a gamma distribution with an analytic Kullback-Leibler divergence, and has a simple reparameterization via the uniform noise, which help efficiently compute the gradients of the evidence lower bound with respect to the parameters of the inference network. The effectiveness and efficiency of WHAI are illustrated with experiments on big corpora.

NEW YORK, NY – Duff & Phelps, the premiere global valuation and corporate finance advisor, has selected eBrevia's award-winning artificial intelligence technology to deploy throughout the enterprise for faster contract review. Duff & Phelps has already been using the software for large-scale contract review projects to augment its professionals' expertise and bring increased value to clients more quickly. The firm will continue to leverage the software for a variety of use cases as it advises clients on a range of strategic and complex business challenges. Duff & Phelps has been increasing its presence in the contract management space from two perspectives: legal management consulting and post-acquisition integration. As a legal management consultant, Duff & Phelps advises clients on selection and implementation of contract lifecycle management systems.

Trouble is brewing among the students of the Girls Domestic Science School, a well-known private institution at Hitotsubashi, Kanda, which enjoys a good reputation in educational circles and has contributed greatly to the advancement of female education, the courses including sewing, embroidery and foreign-style cooking. The school recently received a monetary donation amounting to ¥13,000 from Mr. Kamesaburo Yamashita, the well-known "narikin" of Kobe, who has amassed a big fortune though the sale of steamers. Several days ago the girls school referred to had a visit from an aged lady, who was alleged to have been sent by Mr. Yamashita, the patron of the school, on the mission of selecting a prospective bride for the son or nephew of the narikin. The old lady was treated by the school faculty with marked respect, and as though she came with the object of inspection, the true purpose of her visit being hidden as far as possible. Madame Haruko Hatoyama, the widow of the late Dr. Hatoyama, ex-minister of justice and dean of Waseda who is the superintendent of the teaching staff of the school, ordered the class to stop the lesson and gave the visitor the privilege of leisurely examining the personal beauty of the girl students of the graduating class of a certain course.

In what way will AI be incorporated into e-learning in the near future? E-learning has the potential to revolutionize education. For one thing, the internet and burgeoning AI technology have made e-learning more accessible than ever before. But e-learning also offers solutions to some of education's most pressing challenges, and in the future, it could serve to more adequately provide all students access to quality teaching. Everyone processes content in different ways and at different speeds.

We see the power of artificial intelligence every day: When Netflix recommends a movie you love, when your bank detects fraud in your account, or when Google routes you around a traffic jam. But outside of examples from mammoth companies with millions to spend on data science initiatives, there's a decided lack of AI success among the rest of us. That's the conclusion that Ali Ghodsi has come to. As the co-founder and CEO of Databricks and an adjunct professor at UC Berkeley, Ghodsi has a direct view into the types the AI projects that organizations are embarking on. It turns out, those organizations are struggling mightily, and he wonders why more people aren't talking about it.

Kharagpur: IIT Kharagpur will set up an artificial intelligence centre of excellence that will cover education, training, research, projects, incubation and entrepreneurship. "IIT Kharagpur has developed a deep expertise in the overall area of artificial intelligence, machine learning, data sciences and its applications in several critical domains over a long period of time," institute director Partha Pratim Chakrabarti said on Thursday. "It is time we lead this initiative in artificial intelligence to fulfil the need of the technologies in the 21st century," he said. Capillary Technologies Ltd will provide Rs 5.64 crore to the institute to set up computing infrastructure, hardware simulation platforms, software and the coursework. The Oxford dictionary says artificial intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

You're never too young to start making a huge impact. That's what makes Jaime Cuevas our Class Act of the Week. Jaime is just in the sixth grade at Lamar Middle School, but he's already inventing some big things! "I designed this robot to monitor halls, do deliveries for teachers, and to help during school shootings," Jaime said. That's right, this kid might be revolutionizing school safety, one of the most important topics in the country right now. "If there was ever to happen a school shooting, if there's a kid in the exit and it's not safe to go out there, but once it's clear and I know where the robot's going because it's following him I can safely lead the kids to the exit," he explained.

That news, plus rumors Battlefield will head back to World War II this year, David Lynch teaches you typing, the ESRB takes less-than-zero action on loot boxes, and a bevy of trailers for Battletech, Heaven's Vault, Vermintide II, and more. This is gaming news for February 26 to March 2. Growing up I remember taking typing classes in school, and then continuing that learning at home with Mario Teaches Typing. I don't think either helped much, and it wasn't until the onset of AIM (rest in peace) that I started hitting my current 100-plus words per minute. Still, I've got a soft spot for those old educational typing tools, which means David Lynch Teaches Typing is the perfect blend of weird and nostalgia. The "Trial Version" is available for free on itch.io.

On Wednesday, Google announced efforts to make learning artificial intelligence (AI) and machine learning skills more accessible to all populations. Learn with Google AI is a resource center for everyone from machine learning experts to developers to those with no experience who are curious about the emerging technologies, and want to develop their skills and advance their projects. The site includes free lessons, tutorials, and hands-on exercises for people at all experience levels. The move marks an effort to diversify the AI field, as noted by our sister site ZDNet--especially important, as bias can easily seep into the data that machine learning systems use to train on. SEE: IT leader's guide to the future of artificial intelligence (Tech Pro Research) "AI can solve complex problems and has the potential to transform entire industries, which means it's crucial that AI reflect a diverse range of human perspectives and needs," Zuri Kemp, head of Google's machine learning effort, wrote in a Wednesday blog post.

Over the past few months, my team has been working on creating two 5-course specializations on Coursera called "Machine Learning on Google Cloud Platform" and "Advanced Machine Learning on GCP". The full 10-course journey will take you from a strategic overview of why ML matters all the way to building custom sequence models and recommendation engines. These courses provide an interactive, practical, pragmatic way to get started doing ML quickly and effectively. While there are many theoretical machine learning courses, my goal with this specialization is to provide practical training, so that you can hit-the-ground running. In order for you to get that jump start, the courses come with lots of open-source, example TensorFlow applications that you can take and train/deploy immediately.