Ping An Insurance to Use SingularityNET's AI Solutions

Ping An is the largest insurance corporation in the world with capitalization $217B (as for January 2018)
14 March 2019   379

SingularityNET blockchain platform and the Chinese insurance corporation Ping An will cooperate in the field of artificial intelligence and launch a number of joint initiatives. This is reported in the project's blog.

As the head of Ping An's AI direction, Bai Meng, said, the company is interested in the commercial application of optical character recognition technology, cross validation and machine learning offered by the SingularityNET ecosystem.

In the future, platform solutions can be used in Ping An's AI initiatives, such as Smart City and One Minute Clinic.

Ping An is the largest insurance corporation in the world. As of January 2018, the company's capitalization was estimated at $ 217 billion. Ping An shares are included in the Hang Seng Index - a composite index of the 50 largest companies listed on the Hong Kong Stock Exchange.

At the end of 2017, SingularityNET raised $ 32.8 million on ICO. The project token has been listed on Binance cryptoexc.

Against the background of news on cooperation with Ping An, the price of the SingularityNET (AGI) token began to rise rapidly in the morning of Thursday, March 14, rising to a peak by more than 13% in a short period of time, after which it corrected somewhat.

Neural Network to Create Landscapes from Sketches

Nvidia created GauGAN model that uses generative-competitive neural networks to process segmented images and create beautiful landscapes from peoples' sketches
20 March 2019   381

At the GTC 2019 conference, NVIDIA presented a demo version of the GauGAN neural network, which can turn sketchy drawings into photorealistic images.

The GauGAN model, named after the famous artist Paul Gauguin, uses generative-competitive neural networks to process segmented images. The generator creates an image and transfers it to the discriminator trained in real photographs. He in turn pixel-by-pixel tells the generator what to fix and where.

Simply put, the principle of the neural network is similar to the coloring of the coloring, but instead of children's drawings, it produces beautiful landscapes. Its creators emphasize that it does not just glue pieces of images, but generates unique ones, like a real artist.

Among other things, the neural network is able to imitate the styles of various artists and change the times of the day and year in the image. It also generates realistic reflections on water surfaces, such as ponds and rivers.

So far, GauGAN is configured to work with landscapes, but the neural network architecture allows us to train it to create urban images as well. The source text of the report in PDF is available here.

GauGAN can be useful to both architects and city planners, and landscape designers with game developers. An AI that understands what the real world looks like will simplify the implementation of their ideas and help you quickly change them. Soon the neural network will be available on the AI ​​Playground.