On Tuesday, the White House released a chilling report on AI and the economy. It began by positing that "it is to be expected that machines will continue to reach and exceed human performance on more and more tasks," and it warned of massive job losses. Yet to counter this threat, the government makes a recommendation that may sound absurd: we have to increase investment in AI. The risk to productivity and the US's competitive advantage is too high to do anything but double down on it. This approach not only makes sense, but also is the only approach that makes sense.

Alex Tabarrok draws my attention to an article in the New York Times Magazine this weekend. It's about machine learning in general, but it starts out with this: Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo, was online preparing for a lecture when he began to notice some peculiar posts rolling in on social media. Apparently Google Translate, the company's popular machine-translation service, had suddenly and almost immeasurably improved. Rekimoto visited Translate himself and began to experiment with it. He had to go to sleep, but Translate refused to relax its grip on his imagination.

Explain: Many of the fears around AI stem from the possible job loss caused by the automation in industries such as manufacturing. However, automation is also at the heart of one of the most exciting and tangible AI products, driverless vehicles. An automated system can run without the help of a human but that does not make it artificially intelligent. An AI-powered automated system would not only be able to make decisions without a human but would be able to learn from those decisions and alter their action as a result.

OpenNMT is a industrial-strength, open-source (MIT) neural machine translation system utilizing the Torch mathematical toolkit. OpenNMT is used as provided in production by major translation providers. The system is designed to be simple to use and easy to extend, while maintaining efficiency and state-of-the-art translation accuracy. Simple general-purpose interface, requires only source/target files. Speed and memory optimizations for high-performance GPU training.

Microsoft Translator, recently made available in live preview, can translate face-to-face conversations in real time. The Translator is available through a mobile app or browser, and can translate conversations with up to 100 speakers, into 60 different languages. The announcement was made via a blog post from Microsoft on Tuesday. The tool can perform speech translation in nine languages, and it can translate text in more than 50. And yes, it can even work in Klingon.

Microsoft has taken some inspiration from Star Trek. The company announced Tuesday a program called Microsoft Translator that listens to someone, transcribes what they've said, and then shares the translated text with their audience. The system is kind of like the universal translator from the most (or second-most, depending on who you ask) influential sci-fi series. It even speaks Klingon -- Microsoft Translate supports 60 languages for speech-to-text translation, and the one used by an alien species is apparently one of them. Microsoft said that its translator can work with up to 100 people at once, even if they're split between multiple languages, just as well as it can facilitate communications between two people.

This paper proposed the fancy method which replaced the traditional RNNs with conv1d dilated and causal conv1d, and they achieved fast training and state-of-the-art performance on character-level translation. I've replaced the Sub Batch Normal with Layer Normalization for convenience. Latent dimension is 400 because Comtrans corpus in NLTK is small. I've replaced the Sub Batch Normal with Layer Normalization for convenience. Latent dimension is 400 because Comtrans corpus in NLTK is small.

Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo, was online preparing for a lecture when he began to notice some peculiar posts rolling in on social media. Apparently Google Translate, the company's popular machine-translation service, had suddenly and almost immeasurably improved. Rekimoto visited Translate himself and began to experiment with it. He had to go to sleep, but Translate refused to relax its grip on his imagination. Rekimoto wrote up his initial findings in a blog post. First, he compared a few sentences from two published versions of "The Great Gatsby," Takashi Nozaki's 1957 translation and Haruki Murakami's more recent iteration, with what this new Google Translate was able to produce. Murakami's translation is written "in very polished Japanese," Rekimoto explained to me later via email, but the prose is distinctively "Murakami-style."

At places like schools, hotels and tourist attractions, Microsoft Translator can help up to 100 people hold a live conversation in nine different languages. Imagine you're on a guided tour in Chartres cathedral in France along with tourists from Brazil, China, Russia and Germany -- but none of you speaks French. For the last few decades, you'd each need your own tour guide. A new app from Microsoft aims to flatten this multilanguage barrier, though. The Microsoft Translator app, running on your phone but relying on a network to Microsoft's servers, can translate your tour guide's words into eight other languages.

Software giant Microsoft has continued its diversification drive with the launch of a bunch of clever things loosely grouped into the artificial intelligence silo. While Microsoft had a slight fall from grace during the late 90s and 00s with the rise of more millennial-friendly technologies, its recent surge in the cloud computing market has put the giant firmly back in the top division. Cloud computing has positioned the vendor as a must-have for numerous CIOs around the world, and now the team are looking towards one of the next major technology booms to fuel further growth; artificial intelligence. There are a number of players throughout the industry who are making moves in the potentially lucrative AI industry, though Microsoft looks to be one which has the strongest footing. True, Google's Deepmind and IBM's Watson have arguably made more progress in the AI arena, though Microsoft's current penetration into the world of enterprise technology gives it a notable advantage, even if it is playing catch-up on the AI side of things.