What if I tell you that an entire short sci-fi film has been written by an AI bot built on LSTM recurrent neural network, and it has even received positive reviews and critics, Surprised?! well, I'm sure you are because that's what I felt watching "Sunspring" for the first time, I mean I know it can't be compared to Steven Spielberg's or Alex Garland's screenwriting quality but no wonder if in the next few years AI bots will compete against them in the Academy Awards. Indeed, we should no longer be surprised by what artificial intelligence is capable of in order to flip our world upside down, making it a better, "easier", and most comfortable place to live in. From all of the AI subfields, in my opinion, NLP has the coolest and most exciting applications. One of them is text generation that we should have a deep look at it. In this article, I will briefly explain how RNN and LSTM work and how we can generate texts using LSTM in Python.

Apple is late to the consumer priced smart speaker market, but it finally joined Amazon and Google with the $99 HomePod Mini. Here's what you need to know: The Mini is way smaller in size than both the new Amazon Echo fourth generation speaker and Google Nest Audio. And while it doesn't sound as great for music as either of them, (it is way smaller, after all) in our unscientific home ears test, it probably doesn't matter. This is a really useful speaker for anyone living in the Apple ecosystem and it makes the Siri personal assistant way more competitive with Amazon's Alexa and the Google Assistant. The HomePod Mini sounds fantastic as a TV speaker.

Is it still cool to memorize a lot of stuff? Is there even a reason to memorize anything? Having a lot of information in your head was maybe never cool in the sexy-cool sense, more in the geeky-cool or class-brainiac sense. But people respected the ability to rattle off the names of all the state capitals, or to recite the periodic table. It was like the ability to dunk, or to play the piano by ear--something the average person can't do.

Author Rory McDonald spent several years studying companies pioneering new categories in several fields, most notably software and fintech. He interviewed hundreds of entrepreneurs, corporate innovation chiefs, market analysts, and journalists. Author Keith Krach built and led four category-creating enterprises in industrial robotics, mechanical design automation, B2B ecommerce, and digital signature. Using multiple-case methods, and melding their analysis with personal experience, the authors compared the emerging insights to develop a theory of the category creation process. They also reviewed prior research on category creation and market formation in organization theory and strategy.

If there's anything that can be said for 2020, it's a year of upheaval turning everything we know on its head. This is true for the public relations industry as much as anything. While the tides of change have been swirling for a while now, it's more evident than ever that we're on the cusp of a major reckoning in how we do our jobs – and the tools we use to do them. There have been noble and creative attempts at introducing technology into the PR workflow for decades, mostly static media databases, stylized measurement dashboards, endless monitoring tools, influencer databases and social media management platforms. But uptake has been slow and performance uneven.

The entire research report offers value in terms of sectional review and evaluates on the global Artificial Intelligence in Chatbot Security market across …

The song in question not a genuine track, but a convincing fake created by "research and deployment company" OpenAI, whose Jukebox project uses artificial intelligence to generate music, complete with lyrics, in a variety of genres and artist styles. Along with Sinatra, they've done what are known as "deepfakes" of Katy Perry, Elvis, Simon and Garfunkel, 2Pac, Céline Dion and more. Having trained the model using 1.2m songs scraped from the web, complete with the corresponding lyrics and metadata, it can output raw audio several minutes long based on whatever you feed it. Input, say, Queen or Dolly Parton or Mozart, and you'll get an approximation out the other end.

Coronavirus (COVID19) pandemic has impacted all over industries across the globe, and Artificial Intelligence Chips market is one of them.

The pioneering study, from the University of Sheffield, is examining the use of machine learning and AI to assist pathologists and improve the early …

Goal-oriented dialog systems enable users to complete specific goals like requesting information about a movie or booking a ticket. Typically the dialog system pipeline contains multiple ML models, including natural language understanding, state tracking and action prediction (policy learning). These models are trained through a combination of supervised or reinforcement learning methods and therefore require collection of labeled domain specific datasets. However, collecting annotated datasets with language and dialog-flow variations is expensive, time-consuming and scales poorly due to human involvement. In this paper, we propose an approach for automatically creating a large corpus of annotated dialogs from a few thoroughly annotated sample dialogs and the dialog schema. Our approach includes a novel goal-sampling technique for sampling plausible user goals and a dialog simulation technique that uses heuristic interplay between the user and the system (Alexa), where the user tries to achieve the sampled goal. We validate our approach by generating data and training three different downstream conversational ML models. We achieve 18 ? 50% relative accuracy improvements on a held-out test set compared to a baseline dialog generation approach that only samples natural language and entity value variations from existing catalogs but does not generate any novel dialog flow variations. We also qualitatively establish that the proposed approach is better than the baseline. Moreover, several different conversational experiences have been built using this method, which enables customers to have a wide variety of conversations with Alexa.