Ethereum Scaling Solution Raiden to Launch Last Testnet

As noted by the developers, after implementing the new solution, the Ethereum network will be able to provide more than a million transactions per second
20 July 2018   338

On Thursday, July 19, at the Dappcon developer conference in Berlin, the last test network of Raiden for the Ethereum blockchain was launched, CoinDesk reports.

The release includes a minimal implementation of the scaling solution, which will allow the transfer of Ethereum tokens outside of the main blockchain. This is the last test phase before the introduction of technology into the core network of Ethereum.

It's the first step towards going to the mainnet. We really want people to really test this so we have a user interface, we have an API and we've created an open Github for everything they could find, so if we go hopefully bug-free on the mainnet.
 

Lefteris Karapetsas

Core Developer, Raiden

According to him, the new release represents an early implementation for the core network and contains a new rewritten code of smart contracts and payment channels that can be restored in case of unintended closure.

Also, Karapetsas urged developers to join the test network to help detect possible bugs, adding that a bounty program will be launched to encourage this activity.

The release date for the main network has not yet been assigned, but the developers intend to follow this earlier promise and launch Raiden this summer.

Karapetsas also promised to publish regular updates and code optimizations after the full release, adding that Raiden will complement other Ethereum scaling solutions that are currently being developed.

Raiden is essentially the payment channel network for ethereum, it's supposed to help us scale token transfers. The long term goal would be to have people use Raiden from a mobile device and be able to make off-chain token transfers just from their phone. That would be the long term vision, it would probably work in combination with various scaling solutions, sharding, plasma, a sort of hybrid.
 

Lefteris Karapetsas

Core Developer, Raiden

Raiden is developing from the 2015 and is written mostly on Python. The project is much like the Lightning Network. As noted by the developers, after implementing the new solution, the Ethereum network will be able to provide more than a million transactions per second.

Students to Beat Google’s Machine-Learning Code

Student programmers' image classification algorithm successfully identifies the object in 93% of cases
13 August 2018   388

Developers-students from Fast.ai which organize free online computer training courses have created an image classification algorithm that successfully identifies the object in 93% of cases and copes with it faster than a similar Google algorithm with a similar configuration. The authors argue that "the creation of breakthrough technologies is not just for big companies". This is reported by MIT Technology Review.

When evaluating performance, the DAWNBench test was used, which calculates the speed and cost of teaching the neural network. During the Fast.ai experiment, the neural network was launched on 16 virtual AWS nodes, each contained 8 NVIDIA V100 graphics cards. This configuration achieved accuracy of 93% in 18 minutes, and the cost of machine time was estimated at $ 40. The result of Fast.ai is faster than the development of Google engineers by 40%, but the corporation uses its own clusters TPU Pod, so the comparison is not entirely objective.

The developers used the PyTorch Python library, as well as their own development - fastai. They were able to achieve this learning speed with the new method of cropping images from the ImageNet dataset: instead of square pictures, they began to use rectangular:

Fast AI
Fast AI

State-of-the-art results are not the exclusive domain of big companies. These are the obvious, dumb things that many researchers wouldn’t even think to do.
 

Jeremy Howard

Founder, Fast.AI

The authors tried to make the project accessible to everyone, so they simplified its infrastructure, refusing to use distributed computing systems and containers. To implement it, developers teamed up with engineers from the innovative division of the Pentagon (DIU) to release software to quickly create and support distributed models on AWS.