deep learning

Google brings offline neural machine translations for 59 languages to its Translate app

Posted by | Android, Apps, artificial intelligence, deep learning, Google, Google Translate, iOS, Languages, Mobile, mobile app, Translation | No Comments

Currently, when the Google Translate apps for iOS and Android has access to the internet, its translations are far superior to those it produces when it’s offline. That’s because the offline translations are phrase-based, meaning they use an older machine translation technique than the machine learning-powered systems in the cloud that the app has access to when it’s online. But that’s changing today. Google is now rolling out offline Neural Machine Translation (NMT) support for 59 languages in the Translate apps.

Today, only a small number of users will see the updated offline translations, but it will roll out to all users within the next few weeks.

The list of supported languages consists of a wide range of languages. Because I don’t want to play favorites, here is the full list: Afrikaans, Albanian, Arabic, Belarusian, Bengali, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian, Creole, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Jannada, Korean, Latvian, Lithuanian, Macedonian, Malay, Maltese, Marathi, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese and Welsh.

In the past, running these deep learning models on a mobile device wasn’t really an option since mobile phones didn’t have the right hardware to efficiently run them. Now, thanks to both advances in hardware and software, that’s less of an issue and Google, Microsoft and others have also found ways to compress these models to a manageable size. In Google’s case, that’s about 30 to 40 megabytes per language.

It’s worth noting that Microsoft also announced a similar feature for its Translator app earlier this year. It uses a very similar technique, but for the time being, it only supports about a dozen languages.

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Facebook’s open-source Go bot can now beat professional players

Posted by | AI, alphago, artificial intelligence, deep learning, DeepMind, F8 2018, Gaming, Go, TC | No Comments

Go is the go-to game for machine learning researchers. It’s what Google’s DeepMind team famously used to show off its algorithms, and Facebook, too, recently announced that it was building a Go bot of its own. As the team announced at the company’s F8 developer conference today, the ELF OpenGo bot has now achieved professional status after winning all 14 games it played against a group of top 30 human Go players recently.

“We salute our friends at DeepMind for doing awesome work,” Facebook CTO Mike Schroepfer said in today’s keynote. “But we wondered: Are there some unanswered questions? What else can you apply these tools to.” As Facebook notes in a blog post today, the DeepMind model itself also remains under wraps. In contrast, Facebook has open-sourced its bot.

“To make this work both reproducible and available to AI researchers around the world, we created an open source Go bot, called ELF OpenGo, that performs well enough to answer some of the key questions unanswered by AlphaGo,” the team writes today.

It’s not just Go that the team is interested in, though. Facebook’s AI Research group has also developed a StarCraft bot that can handle the often chaotic environment of that game. The company plans to open-source this bot, too. So while Facebook isn’t quite at the point where it can launch a bot that can learn any game (with the right amount of training), the team is clearly making quite a bit of progress here.

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MIT’s new chip could bring neural nets to battery-powered gadgets

Posted by | applied mathematics, artificial intelligence, artificial neural networks, cybernetics, deep learning, market research, Mobile, TC | No Comments

 MIT researchers have developed a chip designed to speed up the hard work of running neural networks, while also reducing the power consumed when doing so dramatically – by up to 95 percent, in fact. The basic concept involves simplifying the chip design so that shuttling of data between different processors on the same chip is taken out of the equation. The big advantage of this new… Read More

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Sony reboots Aibo with AI and extra kawaii

Posted by | AI, Aibo, artificial intelligence, Asia, deep learning, Gadgets, robot, robotics, Sony, TC, virtual assistant | No Comments

 The rumors had it right: Sony is rebooting its robot dog, Aibo, announcing a new four-legged companion AI-powered bot incoming with the same brand name but more rounded corners and visible facial features for extra kawaii, including a pair of expressive, puppy-dog eyes. Read More

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Google’s TensorFlow Lite brings machine learning to Android devices

Posted by | Android, artificial intelligence, computing, deep learning, Developer, free software, Google, smartphones, Software, TC, tensorflow | No Comments

 While discussing the future of Android at Google I/O, Dave Burke, a VP of engineering, announced a new version of TensorFlow optimized for mobile called TensorFlow lite. The new library will allow developers to build leaner deep learning models designed to run on Android smartphones. As Google rolls out a greater number of AI-enabled services that run on Android, it makes sense to use a… Read More

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Deep learning tool lets you pick your pastiche: Mostly Monet, a dab of Doré and a pinch of Picasso

Posted by | Art, artificial intelligence, deep learning, Gadgets, Google, google brain, machine learning, neural networks, research, TC | No Comments

brad_pitt_neural For years we’ve been skeptical, and rightly so, of the “art filters” you can put on your photos, webcam videos and so on. But Google may have made them relevant again — or at the very least, interesting — by letting you mix and match them in real time using a single specialized neural network. Read More

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Baidu’s new TalkType keyboard app emphasizes voice input over typing

Posted by | android apps, Apps, Baidu, baidu research, computing, deep learning, Keyboard, Mobile, Speech Recognition, TC, typing, voice computing | No Comments

baidu-talktype Typing on small screens can still be challenging, but today’s keyboard apps still focus on text entry over speech, despite the advances in voice-based computing and the increasing accuracy of speech recognition technology. Baidu wants to change that, with a new keyboard app called TalkType that prioritizes voice input over typing. The app was developed by Baidu Research, the Silicon… Read More

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Prisma uses AI to turn your photos into graphic novel fodder double quick

Posted by | AI, Apps, artificial intelligence, deep learning, Europe, image-processing, instagram, iOS, machine learning, Mobile, neural networks, Prisma, Social, social networks, TC | No Comments

Prisma Artists beware! AI is coming for your paintbrush too… A new iOS app, called Prisma, is using deep learning algorithms to turn smartphone photos into stylized artworks based on different artwork/graphical styles. Snap or choose your photo, select an ‘art filter’ to be applied and then wait as the app works its algorithmic magic — returning your… Read More

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Google, Baidu and the race for an edge in the global speech recognition market

Posted by | Adam Coates, alibaba, artificial intelligence, Baidu, China, Column, deep learning, Gadgets, Google, mobvoi, speech recogntion, TC, Tencent | No Comments

Talking bubbles Speech recognition technology has been around for more than half a decade, though the early uses of speech recognition — like voice dialing or desktop dictation — certainly don’t seem as sexy as today’s burgeoning virtual agents or smart home devices. Read More

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Dango mind-melds with emoji using deep learning and suggests them while you type

Posted by | Apps, artificial intelligence, chatbots, dango, deep learning, emoji, minuum, Mobile, neural networks, TC | No Comments

emoji_swirl_feature Dango is an emoji suggestion chatbot — wait, where are you going? Stay with me, this is actually pretty cool.
Okay, so Dango is one of those virtual assistants that lives in your chat apps, and this one is based on a neural network that has been trained with millions of examples to understand what emoji mean. So not only can it suggest an appropriate one, but it can translate entire… Read More

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