Cryptocurrencies Bitcoin and Ripple led the scoreboard of downfall early Monday morning.
Ripple started off with $2.46 which means 10 percent lower on the Bitstamp exchange. Bitcoin and Litecoin were down by 7.6 percent and 6.4 percent respectively, as per Coinbase. Additionally, Bitcoin futures also fell 10.5 percent at the Cboe, and traded at $15,010 as of 4. 15 p.m.(New York time).
Popular speculations for the downfall are,
On the other hand, Ethereum still managed to escape the fall and traded at $1,143.56, i.e at a 4.7 percent rise.
According to a report, the transaction volume on Ethereum’s network doubled which included periods where over 10 transactions per second were being processed. For comparison, Bitcoin’s blockchain network can only handle about three transactions per second.
SkyFoundry, a leading developer of analytics software, releases Machine learning tools for their SkySpark® Analytics software, which automatically analyzes building, energy and equipment data to identify issues, faults and opportunities for improved performance and operational savings.
The newly released machine learning tools provide support for supervised learning in order to predict and forecast through regression-based approaches, and classification using Support Vector Machine (SVM) techniques.
SkySpark, with a combination of full programmability and an extensive library of built-in functions allows customized analytics in order to meet the real-world needs of individual systems and facilities.
Chinese fabless semiconductor company Rockchip launches an AI-focused chip, the RK3399Pro, which consists of an SoC(System on a Chip) and an NPU (Neural processing Unit)
Features of the RK3399Pro SoC(System on a Chip):
Features of the RK3399Pro NPU (Neural processing Unit):
The company aims at targeting lower-cost devices with the RK3399Pro. Rockchip will enable developers with a reference design and SDK to get started on their RK3399Pro-based projects.
At CES 2018, MediaTek, a global semiconductor leader, today unveiled its ongoing AI platform strategy in order to enable AI edge computing with its NeuroPilot AI platform.
MediaTek will bring AI across its wide-ranging technology portfolio that powers 1.5 billion consumer products a year across smartphones, smart homes, autos and more. This will be achieved by combining hardware, software, an AI processing unit (APU), and NeuroPilot SDK.
MediaTek’s current AI solutions for voice assistants, Televisions and autonomous cars, will also be showcased at CES where the company is demonstrating the power of AI and how it’s redefining today’s consumer devices.
This year, MediaTek plans to enable their partners and customers with technology advancements consumers demand through the power of AI integration with their chipsets.
The MediaTek’s NeuroPilot AI platform has some key features:
“With our broad range of chipsets, backed by our current and newly developed AI framework, MediaTek is poised to be a full ecosystem AI solution provider”, said Jerry Yu, Corporate Vice President and General Manager of the Home Entertainment Business Group, MediaTek.
Tensorlang is a programming language for large-scale computational networks (e.g. deep neural nets) that is faster, more powerful, and enjoyable to use.
Tensorlang is designed to address a number of requirements such as:
To know more about Tensorlang in detail, visit the github link here.
The International Consumer Electronics Show (CES) 2018 kicked off last weekend. Here are some highlights so far:
For a detailed catch up on each of these news, you can read the detailed news article in the link above.
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