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Google Translate accuracy instantly improved with neural learning

(TECH NEWS) Google Translate announced they will use neural learning to improve their accuracy – what does it all mean?!



google translate

Ten years of translation

Google announced they will use neural learning to improve their translation services. Google translate has been around for ten years, and has grown considerably in that time from translation a few languages to 103.

Although it wasn’t perfect, it put mostly functional translation at the public’s fingertips, which was a game changer for many personal and professional interactions that take place online and across borders.

What have they been using?

Until now, Google Translate has been powered by statistical machine translation , a paradigm in which translations are made by using statistical models that are formed by large pieces of bilingual texts.

This was a new way to use machine learning but could only take Google so far in their ambitious universal translation goals.

Where no dictionary has gone before

Barak Turovsky, the lead of Google Translate, explained in a blog post that the future lies in Neural Machine Translation.

The technique involves translating at a higher level of understanding, for example, looking at an entire sentence instead of each individual word. This lets it use more context to determine the best, rather than most literal, translation.

It also will produce translations that have already been rearranged and adjusted to the more natural, instead of delivering a scramble of individually translated words.

This will be especially useful when translating longer passages, where grammar and continuity become crucial for understanding.

What’s the dealio, yo?

Turovsky didn’t get into the nitty gritty, but explained that this “end-to-end” approach to translation is made possible because the translation system will learn over time to create better more human-like translations.

“With this update, Google translate is improving more in a single leap than we’ve seen in the last ten years combined.”

The new system will be implemented first with the most commonly requested languages: English, French, German, Spanish, Portuguese, Chinese, Japanese, Korean, and Turkish.

Along with the new system, which will eventually be expanded to include all 103 languages, they released Google Cloud Translation API which makes the Neural Machine Translation engine available for business to use. Google also gave a shout out to the Translate Community, where multi-linguistic users can help contribute and review translations to help the hive mind talk more like a real boy.

Although this is exciting news that might lead to more unity in our digitally-global society, I’d be lying if I said I wasn’t sad that it might herald an end to the funny Google Translate videos like this one.


Felix is a writer, online-dating consultant, professor, and BBQ enthusiast. She lives in Austin with two warrior-princess-ninja-superheros and some other wild animals. You can read more of her musings, emo poetry, and weird fiction on her website.

Tech News

Snap a business card pic, Microsoft app finds ’em on LinkedIn

(TECH NEWS) Microsoft Pix is teaming with LinkedIn in a neat way that will benefit networking, especially if you have any lazy bones in your body.



microsoft pix

Have you ever been watching some sort of action-adventure movie where there’s a command center with all sorts of unbelievable technology that kind of blows your mind? Well, every day we come closer and closer to living within that command center.

You may think that I’m talkin’ crazy, but check this out – there is a new technology that can scan a business card, and find the business card’s owner on LinkedIn. (Can I get a “say what????!”)

This app is courtesy of Microsoft and goes by the name Pix (it’s not new, but this function is).

The way it works is simple: Bill Jones hands you his business card, you fire up the Pix app (currently only on the iPhone. Sorry, Droids), you snap a picture of the card and the app takes the details (phone number, company, etc.) and finds Bill on LinkedIn. Bingo.

It also will automatically take that information and will create a new profile for Bill Jones within your phone’s contacts. After you scan the business card through Pix, Microsoft will ask if you want to take action.

At this point, Pix will recognize and capture phone numbers, email addresses, and URLs. If your phone is logged into LinkedIn, the apps will work together to find Bill’s profile. Part of me wants to think that this is kind of creepy but a larger part of me thinks that it’s really cool.

According to Microsoft Research’s Principal Program Manager, Josh Weisberg, “Pix is powered by AI to streamline and enhance the experience of taking a picture with a series of intelligent actions: recognizing the subject of a photo, inferring users’ intent and capturing the best quality picture.”

“It’s the combination of both understanding and intelligently acting on a users’ intent that sets Pix apart. Today’s update works with LinkedIn to add yet another intelligent dimension to Pix’s capabilities.”

Pix itself originally launched in 2016 as a way to compete against AI’s ability to edit a photo by use of exposure, focus, and color. This new integration in working with LinkedIn is a time saver, and is beneficial for those who collect business cards like candy and forget to actually do something with them.

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Walmart and the blockchain, sitting in a tree

(TECH NEWS) Say goodbye to #foodwaste with Walmart’s new smart package delivery proposal featuring everyone’s favorite pal, blockchain.




Following the trend of adding “smart” as a prefix to any word to make it futuristic, Walmart now proposes “smart packages.” The retail giant filed for a new patent to improve their shipping and package tracking process using blockchain.

Last week, the U.S. Patent and Trademark Office (USPTO) released the application, which was filed back in August 2017.

Officially, the application notes the smart package will have “a body portion having an inner volume” and “a door coupled to the body portion” that can be open or closed to restrict or allow access to the package contents.

In other words, they’ve patented a box with a door on it that also has lots of monitoring devices.

Various iterations lay claim to all versions of said box include smart packaging utilizing a combination of monitoring devices, modular adapters, autonomous delivery vehicles, and blockchain.

Monitoring devices would regulate location tracking, inner content removal, and environmental conditions of the package like temperature and humidity. This could help reduce loss of products sensitive to environmental changes, like fresh produce.

Modular adapters perform these actions as well, and also ensure the package has access to a power source and the delivery vehicle’s security system to prevent theft.

Blockchain comes into play with a delivery encryption system, monitoring, authenticating, and registering packages. As it moves through the supply chain, packages will be registered throughout the process.

The blockchain would be hashed with private key addresses of sellers, couriers, and buyers to track the chain of custody. Every step of the shipping process would be documented, providing greater accountability and easier record keeping.

This isn’t Walmart’s first foray into the world of blockchain. Last year they teamed up with Nestle, Kroger, and other food companies in a partnership with IBM to improve food traceability with blockchain.

Walmart also took part in a similar food tracking program in China with last year as well.

And let’s not forget Walmart’s May 2017 USPTO application to use blockchain tech for package delivery via unmanned drones. Their more recent application builds on the drone idea, which also proposed tracking packages with blockchain and monitoring product conditions during delivery.

In their latest application, Walmart notes, “online customers many times seek to purchase items that may require a controlled environment and further seek to have greater security in the shipping packaging that the items are shipped in.”

Implementing blockchain and smart package monitoring as part of the shipping process could greatly reduce product loss and improve shipment tracking.

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Experts warn of actual AI risks – we’re about to live in a sci fi movie

(TECH NEWS) A new report on AI indicates that the sci fi dystopias we’ve been dreaming up are actually possible. Within a few short years. Welp.



AI robots

Long before artificial intelligence (AI) was even a real thing, science fiction novels and films have warned us about the potentially catastrophic dangers of giving machines too much power.

Now that AI actually exists, and in fact, is fairly widespread, it may be time to consider some of the potential drawbacks and dangers of the technology, before we find ourselves in a nightmarish dystopia the likes of which we’ve only begun to imagine.

Experts from the industry as well as academia have done exactly that, in a recently released 100-page report, “The Malicious Use of Artificial Intelligence: Forecasting, Prevention, Mitigation.”

The report was written by 26 experts over the course of a two-day workshop held in the UK last month. The authors broke down the potential negative uses of artificial intelligence into three categories – physical, digital, or political.

In the digital category are listed all of the ways that hackers and other criminals can use these advancements to hack, phish, and steal information more quickly and easily. AI can be used to create fake emails and websites for stealing information, or to scan software for potential vulnerabilities much more quickly and efficiently than a human can. AI systems can even be developed specifically to fool other AI systems.

Physical uses included AI-enhanced weapons to automate military and/or terrorist attacks. Commercial drones can be fitted with artificial intelligence programs, and automated vehicles can be hacked for use as weapons. The report also warns of remote attacks, since AI weapons can be controlled from afar, and, most alarmingly, “robot swarms” – which are, horrifyingly, exactly what they sound like.

Read also: Is artificial intelligence going too far, moving too quickly?

Lastly, the report warned that artificial intelligence could be used by governments and other special interest entities to influence politics and generate propaganda.

AI systems are getting creepily good at generating faked images and videos – a skill that would make it all too easy to create propaganda from scratch. Furthermore, AI can be used to find the most important and vulnerable targets for such propaganda – a potential practice the report calls “personalized persuasion.” The technology can also be used to squash dissenting opinions by scanning the internet and removing them.

The overall message of the report is that developments in this technology are “dual use” — meaning that AI can be created that is either helpful to humans, or harmful, depending on the intentions of the people programming it.

That means that for every positive advancement in AI, there could be a villain developing a malicious use of the technology. Experts are already working on solutions, but they won’t know exactly what problems they’ll have to combat until those problems appear.

The report concludes that all of these evil-minded uses for these technologies could easily be achieved within the next five years. Buckle up.

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