You don't have to be a Go champion to have artificial intelligence change your game. You get in your car, and your Apple iPhone tells you what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what driving means. The artificial intelligence calendar assistant Amy emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, would be Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.

Planet of the Apps, the first original series by Apple and a curious choice to lead the rollout of the company's evergreen content, won't be a fun watch for anyone – except maybe venture capitalists and those subscribed to Goop. The unscripted competition show, which follows enterprising hopefuls as they pitch new, often remarkably boring ideas for phone applications to a panel of celebrity judges, is a bit like Dragon's Den or Shark Tank meets The Voice, although I don't imagine it'll attract the devoted followings of either. Hosted by Zane Lowe – who also heads up Apple's international radio station, Beats 1 – Planet of the Apps is a ridiculously optimistic attempt to make a reality show that capitalizes on people's appetite for the latest and greatest in cellphone accoutrements. In the first episode, which was made available on Apple Music on Tuesday, young men and women, each as convinced of the ingenuity of their endeavors as the next, give a pitch as they descend a moving ramp, looking a bit like the robots in Westworld meeting their makers. Except instead of a jaded Anthony Hopkins waiting for them in a basement, they're greeted by Gwyneth Paltrow, Jessica Alba, will.i.am It's painful to watch these would-be tech magnates make stilted speeches about why the world needs their app, only to watch them get remorselessly cross-questioned by celebrities who parlayed their success in entertainment into careers in business.

For CLEVR dataset, they used LSTM to encode the question. For Sort-of-CLEVR dataset, which is much simpler than actual CLEVR dataset, the authors encoded question into vector for simplicity.

TL;DR: Computer scientists have adapted a widely used technique for rapid data-lookup to slash the amount of computation -- and thus energy and time -- required for'deep learning.' This applies to any deep-learning architecture, and the technique scales sublinearly, which means that the larger the deep neural network to which this is applied, the more the savings in computations there will be," said lead researcher Anshumali Shrivastava, an assistant professor of computer science at Rice. The research will be presented in August at the KDD 2017 conference in Halifax, Nova Scotia.

London-based Trint, a startup co-founded by Emmy-winning journalist Jeff Kofman, is tackling a paint-point I know all too well: the time it takes to transcribe an interview (or any audio) accurately. To solve this particular problem the company is employing machine learning and speech-to-text technology to automate transcribing, but -- perhaps crucially -- outputting the result in a user interface that recognises that automation typically only gets the job partly done. Specifically, Trint integrates a web-based audio/video player and text editor, with the outputted automated transcription synced to the audio player's playhead. It's a deceptively simple idea but one that makes a ton of difference when checking (and editing) a transcription for accuracy. "We glue the text output of automated speech-to-text to the original source audio. And that means that you can follow it like karaoke," explains Kofman via an audio file transcribed by Trint.

Key Topics Covered: 1 Introduction 1.1 Background 1.2 Scope of the Research 1.3 Target Audience 1.4 Company Coverage 2 Executive Summary 2.1 Global Connected Manufacturing Market 2.2 Top Line Growth 2.3 Success Factors 2.3.1 Partnerships for Value Added Services 2.3.2

Me and a colleague were intrigued by a paper that was released 2-3 weeks ago by LucaAmbrogioni. Density estimation is useful in a lot of problems, so we decided to implement this paper, explain the whole concept in this blog post and looked for some potential extensions.

In a video message to the summit, Mr. Guterres called AI "a new frontier" with "advances moving at warp speed." The opening session of the summit is expected to give voice to the leading minds in AI, with breakout sessions focusing on issues such as sustainable living and poverty reduction. ITU Secretary-General Houlin Zhao, said the event "will assist us in determining how the UN, ITU and other UN agencies can work together with industry and the academic community to promote AI innovation and create a good environment for the development of artificial intelligence." The summit will run through Friday, with a closing session on "applying AI for good."

I'm looking for some tools to start creating some machine learning projects. I do have a little bit of experience with this topic, in that I've got a pretty …

Artificial intelligence start-up Wyzerr announced today the launch of an online platform to create feedback surveys that feel like games. The surveys, which the company calls "Smart Forms," can capture up to 25 questions in under 60 seconds. Wyzerr's Smart Forms were developed based on playful design principals and rules of engagement. Wyzerr spent the past 2 years piloting their gammified surveys with large enterprises like Walmart, Unilever, and Volkswagen. The key learnings from those pilots served as the inspiration for the company's new online Smart Form builder, which guides customers in creating effective feedback campaigns.