Tag Archives: algorithms

Samsung’s NEON digital avatars shouted as artificial humans

Reading Time: 4 minutes

The fact that Samsung will appear with its new project at CES 2020 has been loud for a long time. Everyone was wondering what artificial humans could be. And one thing is certain. After all the media noise around the project, everyone expected something completely different. Especially after prematurely disclosed material, which can be watched below.

 

What exactly is this project about?

NEON is the idea of Samsung researcher Pranav Mistry. The project emerged out of STAR Labs – Samsung Technology and Advanced Research Labs – and is funded by Samsung, but it’s not actually a Samsung company.

The NEON project is realistic human avatars that are computationally generated and can interact with people in real-time. At this point, each NEON is created from footage of an actual person that is fed into a machine-learning model. A Neon is meant to mimic real human appearance and emotions with its own personality and aptitude to behave like humans. Avatars can also remember and learn.

According to Pranav Mistry, NEON isn’t meant to replace Samsung’s digital assistant Bixby. What is more, it won’t be implemented in Samsung products and NEON operates independently.

 

Examples of the NEON’s application

Each NEON avatar can be customized for different tasks and is able to respond to queries with the latency of less than a few milliseconds. They’re not intended to be just visual skins for AI assistants but put to more varying uses instead. If we are to believe STAR Labs CEO Pranav Mistry, in the near future everyone will be able to license or subscribe to a NEON. The roles can be different: a service representative, a financial advisor, a healthcare provider, or a concierge. The founder also assures that NEONs will work as TV anchors, spokespeople, or movie actors. They can simply be companions and friends if people only would want it.

The first wave of Neons are modeled after real people.
Source: https://www.neon.life/

 

NEONs will work as TV anchors, spokespeople, or movie actors.
Source: https://www.neon.life/

 

What technology is behind it?

There are two main technologies on which NEON is based. The first is Core R3, which stands for reality, real-time and responsiveness. Core R3 is a kind of the graphics engine that powers avatars natural movements, expressions and speech. The second technology is Spectra, which is responsible for implementing artificial intelligence solutions. By this, the creator means intelligence, learning, emotions, and memory. Spectra is not ready for launch yet, but the company says it will present the technology later this year. At the moment it is still being developed.

Neon’s Core R3 graphics engine demonstrated at CES 2020.
Source: https://www.cnet.com/news/samsung-neon-artificial-humans-are-confusing-everyone-we-set-record-straight/

 

What about the uncanny valley?

When NEON avatars can become real comrades in everyday life, one should ask oneself whether the fact that they are so realistic is not a problem. This is specifically about the phenomenon of the uncanny valley, the scientific hypothesis telling that a robot that looks or functions like a human being causes the observers to feel unpleasant or even disgusting. When some people are wondering how STAR Labs has worked out every detail, others feel at least uncomfortable.

 

Why is everyone disappointed?

NEON is like a new kind of life, There are millions of species on our planet and we hope to add one more – this is what we heard from STAR Labs CEO Pranav Mistry before the CES 2020 presentation. It is no wonder that nobody got into awe when it turned out that NEON is just a highly detailed digital avatar. In addition, the demo presented at the show was fully controlled by people from STAR Labs. All the media hype made everyone wait impatiently for the show to finally find out that NEON still has a lot of work to do on its business.

It remains to not believe the haters because NEON avatars look really good and the potential of the project is certainly there. Thus, the final version of the STAR Labs venture has not come and we shouldn’t believe all the media reports. It will soon be clear whether a company can combine two ambitious technologies – the avatars and the AI – together.

 

Do you see a practical application of Samsung’s NEON in the near future? Would you feel comfortable if your teacher wasn’t a real person but Samsung’s NEON?

 

References:

[1] https://www.theverge.com/2020/1/7/21051390/samsung-artificial-human-neon-digital-avatar-project-star-labs

[2] https://www.theverge.com/2020/1/8/21056424/neon-ceo-artificial-humans-samsung-ai-ces-2020

[3] https://www.engadget.com/2020/01/05/samsung-neon-artificial-human-teaser/

[4] https://www.cnbc.com/2020/01/06/samsung-neon-artificial-human-announced-at-ces-2020.html

[5] https://www.cnet.com/news/samsung-neon-project-finally-unveiled-humanoid-ai-chatbot-artificial-humans/

[6] https://www.cnet.com/news/samsung-neon-heres-when-well-get-details-on-the-mysterious-ai/

[7] https://economictimes.indiatimes.com/magazines/panache/meet-neon-samsungs-new-ai-powered-robot-which-can-converse-sympathise/articleshow/73135240.cms

[8] https://www.livemint.com/companies/people/we-ll-live-in-a-world-where-machines-become-humane-pranav-mistry-11577124133419.html

[9] https://mashable.com/article/samsung-star-labs-neon-ces/?europe=true

[10] https://www.wired.co.uk/article/samsung-neon-digital-avatars

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DeepL – a translator which surpassed Google Translate

Reading Time: 4 minutes

A company doesn’t have to be a technological giant to create a product that exceeds the most popular programs of the same type. There is no doubt that in the world of automatic translation Google, Microsoft, and Facebook are the leaders. And yet it turns out that a small company DeepL has created a translator that sometimes exceeds the quality of the most popular programs of this type.

DeepL logo
Source: https://www.deepl.com/home

 

How DeepL was created?

It turns out that the key to the development of the translation service was to use the first own product, which is Linguee, a translation search engine on the Internet. The data obtained in this way became training material for artificial intelligence behind DeepL.

Interestingly, Linguee’s co-founder, Gereon Frahling, once worked for Google Research but left in 2007 to continue his new venture.

Currently, DeepL supports 42 language combinations between Polish, English, German, French, Spanish, Italian and Dutch. Already now, artificial intelligence is learning more, such as Mandarin, Japanese and Russian. There are plans to introduce an API, by means of which it will be possible to develop new products and implement the mechanism in other services.

The team has been working with machine learning for years, for tasks bordering on basic translation, but finally, they began a fervent work on a completely new system and a company called DeepL.

 

What is the advantage of DeepL?

Once again, people realized that AI is learning all the time – to the benefit of consumers, of course. The artificial intelligence behind the DeepL not only accurately recognizes words and selects translations, but is also able to understand certain linguistic nuances, perfectly copes with changed sentence patterns, which makes the result of a user’s inquiry extremely natural – as if it was written by a human being.

The company also has its own supercomputer, which is located in Iceland and operates at 5.1 petaflops. According to press releases with such equipment DeepL is ranked 23rd in the Top 500 supercomputers worldwide.

 

The statistics do not lie

The blind test compared the new product and solutions from Google, Facebook, and Microsoft. Professional translators were supposed to choose the best results of the mechanisms in the comparison without knowing the author of the translations:

DeepL’s blind testing results
Source: https://techcrunch.com/2017/08/29/deepl-schools-other-online-translators-with-clever-machine-learning/

 

But that’s not all, because in the BLEU results DeepL also gets great scores. BLEU is an algorithm for evaluating the quality of translation.

 

Why do others recommend DeepL instead of Google Translate?

The main advantage of DeepL in the context of Google Translate is much better knowledge (or rather a detection) of idioms, phrases, and phraseological compounds. Where, for example, Google Translate is weakening and literal meaning is being found, DeepL can surprisingly offer a more nuanced and much more specific language solution. The translation is not a literal translation of the text, but one that best harmonizes with the contexts and connotations characteristic of the words.

The passage from a German news article rendered by DeepL
Source: https://techcrunch.com/2017/08/29/deepl-schools-other-online-translators-with-clever-machine-learning/

The passage from a German news article rendered by Google Translate
Source: https://techcrunch.com/2017/08/29/deepl-schools-other-online-translators-with-clever-machine-learning/

 

No wonder that DeepL is gaining recognition all over the world. Here are some reviews:

Thanks to more French-sounding phrases DeepL has also surpassed other services.Le Monde, France

In the first test, from English to Italian, it was very accurate. In particular, he understood the meaning of the sentence well, instead of being stunned by the literal translation.La Repubblica, Italy

DeepL from Germany surpasses Google Translate. A short WIRED test shows that the results of DeepL are by no means worse than those of its best competitors, and in many cases even surpass them. Translated texts are often much more fluid; where Google Translate creates completely meaningless word strings, DeepL can at least guess the connection.WIRED.de, Germany

We were impressed with how artificial intelligence selects the translations and how the results of its work look afterward. Personally, I had the impression that on the other side sits a man who on speed translates.Antyweb, Poland

 

The DeepL tool has been made available to a wider audience – for free in the form of a website.

Now it is only a matter of waiting for DeepL to advertise its tool, because although it does not have a large language base, at first glance the accuracy of the translations definitely exceeds the most popular tools of this type.

It’s worth watching how the product will develop further as the current achievements of DeepL are really promising.

Did any of you choose DeepL instead of Google Translate?

 

References:

[1] https://techcrunch.com/2017/08/29/deepl-schools-other-online-translators-with-clever-machine-learning/

[2] https://www.deepl.com/blog/20180305.html

[3] https://www.dw.com/en/deepl-cologne-based-startup-outperforms-google-translate/a-46581948

[4] https://www.forbes.com/sites/samanthabaker1/2019/06/27/will-this-german-startup-win-the-translation-game/

[5] https://www.deutsche-startups.de/2018/07/05/deepl-koelner-uebersetzungskoenig-macht-millionengewinn/

[6] https://www.forbesdach.com/artikel/davids-erbe-und-igels-strategie.html

[7] https://www.letemps.ch/societe/deepl-meilleur-traducteur-automatique

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