Nvidia to Launch Enterprise AI Data Platform Ontap AI

The basis of the platform is the supercomputers DGX-1 and cloud flash storages AFF A800
03 August 2018   1131

NVIDIA and NetApp launched the corporate platform Ontap AI to store models of artificial intelligence. Unlike cloud services, it is equipped with tools for accelerated collection, processing and transmission of data. This is reported by Venture App.

The basis of the platform is the supercomputers DGX-1 and cloud flash storages AFF A800. To distribute data over the clouds and provide quick access, regardless of format and location, the Data Fabric architecture is used.

The NVIDIA DGX-1 computers support second-generation in-depth training and are equipped with Tesla V100 graphics cards. One DGX-1 rack provides 1 Pflops of power and is able to train the FairSeq Neural Network presented in May 2017 for one and a half days. The AFF A800 drives in a cluster with 24 nodes read data at 300 GB / s and have a delay of 200 μs.

The Ontap AI platform was already used in the consulting firm Cambridge Consultants. It was involved in the development of systems for studying the effects of drugs on patients. Also Ontap AI was used to create Vincent - a painting training program at the level of human capabilities.

In April 2018, NVIDIA CEO Jensen Huang announced that their video cards no longer comply with Moore's law. With the help of the DGX-2 supercomputer, the company managed to train the AlexNet neural network to store 15 million images in 18 minutes.

AI to Recognize Text Written by Invisible Keyboard

Developers said they tried to increase the typing speed on the on-screen keyboards
06 August 2019   152

Korean developers have created an algorithm that recognizes text printed on an imaginary keyboard on a touchscreen. Such a “keyboard” is not tied to a specific area on the screen, and the “keys” are not limited to clear squares.

As a result, a person types blindly in a QWERTY layout without thinking about where the keyboard should be and whether it got into the key.

Imaginary Buttons Press CloudsImaginary Buttons Press Clouds

According to the developers, they tried to increase the typing speed on the on-screen keyboards. The on-screen keyboard, unlike the hardware keyboard, does not offer feedback that confirms pressing. There is a risk to miss and not press the desired button. Because of this, people endlessly stare at the screen and eventually print more slowly.

The new algorithm allows you not to worry about this, you can enter text from memory, and the keyboard with 96% accuracy will guess what the person wanted to say. Tests have shown that the average typing speed on an imaginary keyboard is slightly less than on a hardware keyboard: 45 words per minute versus 51.