Artificial Intelligence vs. lawyers – K.O. first round

In a recent study 20 experienced US trained lawyers competed against an AI (Artificial Intelligence) algorithm in spotting risks in business contracts. For the first time, the algorithm beat the lawyers with an accuracy of 94% compared to 85%, archieved by its human colleagues. The AI needed for this only 26 seconds compared to an average time of 92 minutes for the lawyers.

This is showing impressively the progress and application of AI, and is just another mile stone where AI is outperforming humans in a specific task.

More information: lawgeex.com

Vuzix Blade™ – Augmented Reality glasses with Alexa assistant

The Vuzix Blade is what Google Glass always wanted to be. Of course, the Blade isn’t just the second coming of the Google Glass, as Vuzix has learned important things about what you have to do to make the concept of smart glasses easier to accept. They are easy to use and from a 3m distance they look like a normal pair of glasses.

Vuzix is trying to improve their product by eventually implementing Amazon Alexa into their smart glasses. Imagine walking down a street getting real time information about upcoming events near you – and with Alexa by your side – having tickets ready as soon as you arrive…

For more information visit time.com or for even more details about the technical details vuzix.com #vuzixblade #smartglasses #augmentedreality #alexa #ces2018

Nvidias new neural network creates fake celebrities

Nvidia just released a video showing off its use of a generative adversarial network (GAN) to create high-definition photos of fake humans. The results are impressive and extremely realistic as it uses a database of celebrity photos to generate new faces.

NVIDIA used a special “progressive” method that began the GAN’s tuition on low-res images, and then worked upwards to HD. “This both speeds the training up and greatly stabilizes it, allowing us to produce images of unprecedented quality” wrote the company of its approach.

This is another great example how powerful neural networks and AI really are and how they can be used for creative applications.

More information: research.nvidia.com

Google – artificial intelligence generated photography

Google released a paper about using a deep-learning system for artistic content creation. First, the algorithm chooses the best crop out of google street view panoramas. Afterwards, several machine learning based saturation- / HDR-filters and masking were applied by the program.

Deep neural networks and machine-learning are key players of artificial intelligence. They are simulating basic information processing of the brain and are more and more used in many products.

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More examples / gallery: google.github.io/creatism/
More information: research.googleblog.com/
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mages: Google

 

Nadja – a chatbot with emotional intelligence

Nadja was developed from the Australian government to improve their National Disability Insurance Scheme, a service for people with disabilities. The bot helps to find information and is making it accessible in a more human way. The bot is able to read emotions through a webcam and is reacting them in a subtle way. Like AI, EI (emotional intelligence) is getting better and is learning from being used.
The technology behind this is by the company Soul Machines and the voice is Cate Blanchett’s.

Deep neural networks and machine-learning are key players of artificial intelligence. They are simulating basic information processing of the brain and are more and more used in many products.

more information: www.soulmachines.com
via: thenextweb.com

Artificial Intelligence empowered Hearing Aid

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New AI filter algorithms are able to improve greatly conventional hearing aids with selecting and amplifying specific sounds. The benefit is, that i.e. only one speech out of a crowd can be separated. Beside the people with hearing loss, voice recognition in smart phones, conversations in noisy environments and many other applications could also benefit from this technology.

More information and audio examples: spectrum.ieee.org

Neural network behind Google Translate is (maybe) learning a type of own language

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The neural network behind the Google Translate service is under suspect to create a common representation of meaning, independend from language. Even for the Google engineers it seems to be hard to understand what is exactaly going on, but it is working with a measurable higher quality than ever before. The network was able to translate from Spanish to Portuguese by itself, without guidance, after it was trained to translate from Portuguese to English and English to Spanish.

Deep neural networks and machine-learning are key players of artificial intelligence. They are simulating basic information processing of the brain and are more and more used in many products.

More information: research.googleblog.com

President Obama discusses artificial intelligence

President Obama had a discussion with the MIT Media Lab Director Joi Ito about AI. The Interview was hosted by WIRED and was moderated by its Editor-in-Chief, Scotch Dadich.

A report on the future of AI was also published by the White House this week and lists many aspects of how AI is influencing economy, society, politic, etc.

More information:
wired.com (video series)
whitehouse.gov (report)

Text summarization with the help of deep learning

The google Brain team open-sourced the TensorFlow model code for generating news headlines. Below are some examples. The first column shows the model input, which is the first sentence of a news article. The second column shows the headline generated by the algorithm.

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Deep neural networks and machine-learning are key players of artificial intelligence. They are simulating basic information processing of the brain and are more and more used in many products.

More information: research.googleblog.com