Long Short Term Memory networks, usually called "LSTMs", were introduced by Hochreiter and Schmiduber. These have widely been used for speech recognition, language modeling, sentiment analysis and text prediction. Before going deep into LSTM, we should first understand the need of LSTM which can be explained by the drawback of practical use of Recurrent Neural Network (RNN). So, lets start with RNN. Being human, when we watch a movie, we don't think from scratch every time while understanding any event.

Google's logo is seen on a building in Irvine, California. We use this phrase every day. Once upon a time, the word "Google" just indicated a very long number. That extends to physical products as well, like these 20 incredibly useful Google products and services you probably didn't know about until now. But the world's most powerful search engine can do more than find things.

It's usually short for "gold standard", as in the highest level of achievement one measures against to see how good they are. As u/useful said, they are usually data sets/labeled data hand-made by humans with expertise in the field in question. So gold (standard) syntax trees are those curated and labeled by linguists. I haven't read this paper, but I can only assume they mean that training on hand-labeled syntax trees dramatically improves the results of their system over the common practice of letting the system come up with its own labels.

It's gotten there by being very good at knowing what it does best. Now, to reach the next stages of profitability and long-term success, it has to amplify all that. The Swedish streaming service announced in a memo on Monday that it will begin allowing advertisers to sponsor its signature Discover Weekly playlist, which refreshes every week with custom history- and preference-based song recommendations for every user. The new sponsorship's in-playlist and native ads, which will be delivered to all users on the free tier, will kick off with a series from Microsoft tied to the software company's "Empowering Us All" artificial intelligence campaign. Spotify already offers brand sponsorships on some of its other editorial playlists, but until now it has kept Discover Weekly -- which is heralded by both fans and competitor services as its flagship feature, and draws more than 40 million users a month -- a more organic, unfettered experience.

Artificial intelligence (AI) is a term that is now widely used (and abused), loosely defined and mostly misunderstood. Much the same might be said of, say, quantum physics. But there is one important difference, for whereas quantum phenomena are not likely to have much of a direct impact on the lives of most people, one particular manifestation of AI – machine-learning – is already having a measurable impact on most of us. The tech giants that own and control the technology have plans to exponentially increase that impact and to that end have crafted a distinctive narrative. Crudely summarised, it goes like this: "While there may be odd glitches and the occasional regrettable downside on the way to a glorious future, on balance AI will be good for humanity. Oh – and by the way – its progress is unstoppable, so don't worry your silly little heads fretting about it because we take ethics very seriously."

The Undermind is a podcast about Starcraft: Brood War bot development. It can be interesting for anyone interested in AI development, or Brood War in general.

Imagine you're a video editor in 2019. You're handed a script and given thousands of shots to craft a 10-second pre-roll ad, promoted on social media to viewers with specific interests and viewing habits, living across North America and Europe. You crack your knuckles and get to work: You sift through hours of footage, you slice the whole thing together, you bundle it up and send it out. The client approves it the next day, uploads it onto various social channels and suddenly millions of people are watching it across the western hemisphere, responding in different ways. A data team nods along at the analytics streaming in, deliberating whether it's worthwhile to reshoot and recut another video to minimize moments where the viewing masses drop off, optimizing those sacred few seconds your audience is actually watching.

Freely sharing Netflix login details with friends and family who live minutes, hours, or days away could become a thing of the past. The company is introducing new artificial intelligence (AI) technology to identify users who share login details with others to avoid paying an additional fee for online entertainment services. "The Netflix service and any content viewed through our service are for your personal and non-commercial use only and may not be shared with individuals beyond your household," Netflix's terms and conditions state on its website. Magid conducted video entertainment survey that found 26 percent of millennials between the ages of 22 and 40, out of a group of 2,000 Americans between the ages of 8 to 64, admit to sharing account passwords for over-the-top (OTT) services such as Netflix, Hulu, and Amazon Prime Video. Day One at #CES2019 was filled with nonstop customer conversations.

Entrepreneurs all know that Artificial Intelligence and Machine Learning are hot topics of focus among startups.

We spoke with David Usher and Sandra Rodriguez, the two sponsors of the Art & AI: artistic residency in research/creation and artificial intelligence.