In recent years, with the development of deep learning technology, text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication. The automatically generated text is becoming more and more fluent so researchers begin to consider more anthropomorphic text generation technology, that is the conditional text generation, including emotional text generation, personalized text generation, and so on. Conditional text generation (c-TextGen) has thus become a research hotspot. As a promising research field, we find that many efforts have been paid to researches of c-TextGen. Therefore, we aim to give a comprehensive review of the new research trends of c-TextGen. We first give a brief literature review of text generation technology, based on which we formalize the concept model of c-TextGen. We further make an investigation of several different c-TextGen techniques, and illustrate the advantages and disadvantages of commonly used neural network models. Finally, we discuss the open issues and promising research directions of c-TextGen.

As at 2019-09-07 average Decentralized Machine Learning price is 0.00095158 USD, 0.00000009 BTC, 0.00000551 ETH.

We all know that artificial intelligence is playing a huge role in how businesses operate. AI programs and services are helping transform everything from data collection and processing in the marketing department to on-boarding in the HR department. While AI and automation hold tremendous value in terms of time and cost savings internally, there is another area in which AI promises even bigger, more meaningful returns: customer experience. As I've said many times before, customer experience is the root of digital transformation. Every tech decision we make should return to this core foundation.

Movie enthusiasts and Will Smith fans probably already know that he turned down the role of Neo in The Matrix in favor of Wild Wild West in 1999. In an alternate universe, this is how he might have looked in the film. Despite Wild Wild West not being a wild box office success, Smith says he has no regrets about his decision, saying that Keanu Reeves's performance as Neo was superior to what he would have achieved. Read more to see what deepfake algorithms can do. However, in subsequent interviews after Wild Wild West was released, he stated that he "made a mistake on Wild Wild West. That could have been better."

The CEO's job was never easy, and the confluence of changes in human capital and advancement of technology is going to make it even more difficult in the near future. The leadership in the corner office must possess certain traits, such as the ability to take a bold position on emerging technologies and to assist executives within the organisation to embrace a similar vision. At the same time, the CEO needs to be open to forming alliance with external experts on technology, as well as cautious about protecting the organisation's intellectual properties. CEOs have an important role to play in the adoption and implementation of artificial intelligence (AI) – one of the key factors in shaping an organisation's future success. AI is no longer an emerging technology.

Can artificial intelligence turn out symphonies to match one of the greats of classical music? That was the question posed by one unusual orchestra performance in the Austrian city of Linz on Friday, in which Gustav Mahler's unfinished Symphony No.10 was played -- immediately followed by six minutes of "Mahleresque" music written by software. The project's creator says that the two are clearly distinguishable but not everyone in the audience agreed. "I couldn't really feel the difference... I believe it was really well done," Maria Jose Sanchez Varela, 34, a science and philosophy researcher from Mexico, told AFP.

Ars Electronica is one of the world's largest media art venues, a digital music festival, a showcase for creativity and innovation, and a playground for the next generation – Ars Electronica is a world-class festival for art, technology and society. Ars Electronica Special / Unboxing the festival: As every year, we will open the first evening of the festival with an exciting performance program. BR41N.IO Hackathon at the 2019 Ars Electronia Festival: Apply now for the BR41N.IO Hackathon and develop your own creative projects with the Brain-Computer-Interface (BCI)!

David Schubmehl, research director, Cognitive/Artificial Intelligence Systems at IDC, said: "The use of artificial intelligence and machine learning (ML) …

Lots of papers will use VGG features as a reconstruction loss (often calling this the'perceptual loss') and find that this pretty much always works better than a pixelwise loss (with exceptions perhaps for things like VQ-VAE which already have high sharper quality on their own). The downside of this approach is that you need a pretrained classifier/discriminative model.

It depends on what you are trying to do with this model. The question, as currently posed, might be better suited for /r/statistics. If you're just trying to maximize predictive accuracy, why use polynomial regression at all? Try a boosting tree. If you really care about explaining this model, you're doing statistical inference and this question is not well posed. Would it be "wrong" do use lasso to select your polynomial degree?