Samsung to Create DRAM for AI Mobile Apps

The chip called LPDDR5 is created using a 10-nanometer process technology and has a capacity of 8 GB
20 July 2018   1660

Samsung has completed the development and testing of a new memory module standard LPDDR5. The chip is created using a 10-nanometer process technology and has a capacity of 8 GB. LPDDR5 DRAM is planned to be used in the production of smartphones with support for mobile communication 5G, on-board electronics of cars, as well as solutions for AI based on mobile platforms.

One of the innovations of LPDDR5 technology is improved energy efficiency. According to the company, the chip consumes 30% less electricity compared to the previous generation of LPDDR4X memory chips. The number of memory banks (subsections of the DRAM cell) is increased from 8 to 16 to provide high speed with low power consumption. In active mode, the module lowers the operating voltage to synchronize with the application processing speed.

Also, the new chip implements an advanced "deep sleep mode" to reduce the power consumption level to half the level of "standby" in LPDDR4X memory modules.

In the new LPDDR5 chip, the data transfer rate is increased to 6400 Mbit / s, which is 1.5 times more than the last LPDDR4X chips. According to Samsung, the module allows to transfer the volume in 51.2 GB of data (14 films with the size of 3.7 GB each as a Full-HD) in just 1 second.

The chip is scheduled to be launched in mass production as soon as the LPDDR5 specification is approved.

BNC to Monitor BTC Community's Mood

The system called Twitter Sentiment analyzes over 34M BTC-related Twitter posts each week, using AI to track the mood of the community
22 January 2020   468

Blockchain-based New Zealand-based research firm Brave New Coin (BNC) has unveiled a new system for measuring the mood of the Bitcoin community based on Twitter messages.

According to BNC, the new Twitter Sentiment rating system analyzes over 34 million BTC-related Twitter posts each week. The company uses artificial intelligence (AI) algorithms that look for records containing the words bitcoin, $ BTC and BTC and others.

BNC notes that user sentiment continues to be a “significant” factor in the price and dynamics of digital assets, and a new technique has been developed to track these sentiments. According to the BNC, it took 18 months to launch the Bitcoin Twitter Sentiment. The data obtained is divided into seven categories - Opinion, Technical Information, Inside the Network, Advertising, Bots, Macros and Hacking.

For the week ending January 17, the most common entries were in the Opinion category - their number was 30.42% of all data received. In second place was the category Technical Information, and in third inside the network (includes information on mining and hashrate).

BNC spokeswoman Pierre Ansaldi said that during the first quarter of this year, the company will also launch community sentiment analysis tools for other crypto assets.