Baidu to Announce Kunlun AI Chip

The CPU is designed to perform edge computing on the device itself and cloud through data centers
06 July 2018   410

At the annual Beijing conference for developers Baidu Create AI, the company disclosed details about the Kunlun processor for computations related to artificial intelligence. In addition, the release of the platform Baidu Brain 3.0 with new "smart" services was announced.

Kunlun Announcement
Kunlun Announcement

According to the company representatives, the processor is designed to perform edge computing on the device itself and cloud through data centers. It is known about two models of chips: 818-300 for training algorithms and 818-100 for outputting the result.

It is assumed that Kunlun will be able to perform up to 260 ter-operations per second. The memory bandwidth is 512 GB per second. The company did not specify a specific release date.

In addition to Baidu, many technology companies work on their own chips for intelligent systems, for example, Alibaba or Tesla, and Intel and AMD have already presented specific solutions.

In the third version of the Baidu platform, developers added 50 new AI services, from computer vision systems and natural language processing to face recognition software. In addition, the update improves the semantic understanding of input data - models better capture the meaning of text, video and images.

DuerOS Presentation
DuerOS Presentation 

The company also upgraded the DuerOS service for conversational AI technologies to version 3.0. It now supports home devices - televisions, smart speakers or clocks, as well as mobile devices. Thus, developers can use their open SDK and API to create their own voice control systems.

AI to Predict Parkinson

Looks like artifical intelligece can be used for really important things
16 November 2018   50

In Oxford, an AI-framework for the diagnosis of nystagmus is created - an early symptom of neurodegenerative pathologies, such as Parkinson's disease. Nystagmus is a form of sleep disturbance, a series of involuntary rapid tremors in the eyeballs of a sleeping person. Rapid diagnosis of nystagmus will allow to treat Parkinson’s disease at an early stage.

The researchers used data from 53 patients from an open laboratory database of the Montreal Sleep Research Archive. Records of electrical activity of the brain, skeletal muscles and eye movements were processed using the algorithm of regression decision trees (random forest).

As the main symptom of nystagmus and the approaching Parkinson's disease, researchers considered muscle atony. In total, electrograms identified 156 different features that can indicate the development of pathology.

Scientists used manual and automatic markup methods for a data set. With manual marking, they managed to achieve diagnostic accuracy of 96%, with automatic results being 4% worse. The researchers plan to improve the results of automatic processing using mathematical functions that mimic the behavior of brain neurons.

A month before the publication of the work of experts at Oxford University, scientists from the Swiss Institute of IRIS reported on the results of work on their own system for diagnosing neuropathology. The fundamental difference is that the Swiss system uses data collected using a smartphone, and the development from Oxford relies on special medical tests.