Connect with us

Tech

DARPA aims to make networks 100 times speedier with FastNIC

Published

on

DARPA aims to make networks 100 times speedier with FastNIC

Defense Advanced Researched Projects Agency (Darpa), DARPA doesn’t, like slow internet, So, therefore, they want to change it, Specifically by making a new network interface a hundred times faster.

The reason behind changing the internet connection was having a slow internet connection is always frustrating but just imagine how supercomputers feel, All kinds of processing at lighting speed, But in the end, they are all waiting on an outdated network interface to stay in sync said DARPA.

As DARPA said that the processors and memory on a computer or server can in a general sense work at a speed of roughly 10^14 bits per second that’s comfortably into the terabit region and networking hardware like switches and fiber are capable of about the same.

DARPA

Explained By Jonathan Smith in a news post by the agency about the project and said to him 

“The true bottleneck for processor throughput is the network interface used to connect a machine to an external network, such as an Ethernet, therefore severely limiting a processor’s data ingest capability”

The problem between the network card interface and the other components of the other network means a fundamentally limited in how quickly information can be shared between different computing units.

For Example hundreds or thousands of servers and GPUs that make up supercomputers and data centers, The Faster one unit can share its information with one another, The faster the can move to the next Task.

NIC

Let’s look at another Example You run an apple farm, and every apple needs to be inspected and polished, You’ve got people inspecting apples and people polishing apples, and both can do 14 apples a minute, But the conveyor belts between the departments only carry 10 apples per minute, You can see how things would pile up, and how frustrating it would be for everyone involved! 

Note one thing it’s not going to be easy for DARPA to reinvent the network stack, and improve throughput by a factor of 100.

After all, if they can crack this problem, their supercomputers will be at an immense advantage over others in the world, in particular, those in China, which has vied with the U.S. in the high-performance computing arena for years. But it’s not going to be easy.

“There is a lot of expense and complexity involved in building a network stack,” said Smith, the first of which will be physically redesigning the interface. “It starts with the hardware; if you cannot get that right, you are stuck. Software can’t make things faster than the physical layer will allow so we have to first change the physical layer.”

FastNIC

But there is good news, for now, is that all software libraries created by FastNIC or Fast Network card Interface will be open source, Plus this standard will not be limited for the defense Department’s Property Systems.

Read Also: Best Tourist Places in Quetta, Pakistan

FastNIC is the only company just getting started, so forget about it for now, and we will let you know when DARPA cracks the code in a year or three.

If You guys have any question regarding this post you can comment down below Thank You. 

Continue Reading
Advertisement
3 Comments

3 Comments

  1. Pingback: Facebook tries hiding Like counts to fight envy (Facebook)

  2. Pingback: Why Dropbox Reinventing itself? (Dropbox is coming Back)

  3. Pingback: In Malaysia Netflix launches $4 mobile-only monthly plan

Leave a Reply

Your email address will not be published. Required fields are marked *

Business

Facebook’s AI Can Now Translate Code Into Other Programming Languages Automatically

Published

on

Facebook’s AI Can Now Translate Code Into Other Programming Languages Automatically

Facebook‘s AI research team has developed a new system dubbed the neural transcompiler. This system uses more than 2.8 million open-source Github repositories to translate codes.

It is gonna translate codes between three popular languages- C++, Java, and Python.

Facebook’s AI Can Now Translate Code Into Other Programming Languages Automatically

The Main Reason behind Developing This new system Of Facebook’s AI?

It costs millions of dollars every year to keep the systems up to date with the latest programming languages and Technologies.

In order to tackle this issue, The team of AI Research (FAIR) has developed an Automated System.

It was created with the help of advanced Deep Learning Architecture.

What this new system does is that it is gonna migrate existing codebases to a modern and efficient language that requires individuals with expertise in both the source and the target language.

It is Very Costly

One thing to keep in mind is that it is not only boring but it costs a lot of money Too. One of the Great Example of this is the Commonwealth of Australia

Commonwealth Bank of Australia

  • They spent $750 million to translate its Platform from COBOL to Java.
Federation for American Immigration Reform (FAIR)

According to FAIR, This New system is not seen by the Authority it is unsupervised.

It means that it requires minimum human supervision and will translate codes based on previously undetected patterns in data sets without labels.

most People have researched about it that this system outperforms rule-based baselines by a ” Huge Margin “.

“This unsupervised translation has been achieved by initializing the transcoder with a cross-lingual language model”.

The model maps pieces of code expressing the same instructions from the number of common tokens like “for,” “while,” “if,” as well as a few mathematical operators. After this, it uses a target-to-source model to translate all the sequences.

Although the results of the compiler are not completely accurate, it’s much more accurate than other transcoders available today.

According to Facebook’s AI,

TransCoder can easily be generalized to any programming language, does not require any expert knowledge, and outperforms commercial solutions by a large margin.

Our results suggest that a lot of mistakes made by the model could easily be fixed by adding simple constraints to the decoder to ensure that the generated functions are syntactically correct, or by using dedicated architectures.

Read Also:  YouTube Introduces Video Chapters ( To Make it Easier to navigate longer Videos.)

 

If You Have Any Question Regarding This Post you can comment on us below the session Thanks.

Continue Reading

Mobile

YouTube Introduces Video Chapters ( To Make it Easier to navigate longer Videos.)

Published

on

YouTube Introduces Video Chapters ( To Make it Easier to navigate longer Videos.)

Youtube has introduced this new feature of navigating longer videos for not wasting our time and waiting for a good part of the video to come.

If you have found your self waiting for alot in a video in order to get the enjoyable part of the Video you will love this new feature off of Youtube and It is called Video Chapters.

What is Video Chapter?

Video Chapter is a new feature that is added in Youtube, It Uses timestamps that creator applies to their videos. So That it can allow users to easily jump to forward to the Useful part of the video or Just To ReWatch a Portion of the video.

Youtube was spotted Testing Video Chapters Since April, But Today it is live all around the Globe all Users across iOS, Android and Desktop, Tablets, etc.

Read Also: The early days of hacking List of security hacking And incidents

How Video Chapters Will Be Enabled While Watching Video?

One of the great things about the video chapter is that it will be automatically Enabled as a line of timestamps and titles.

When creators add Chapter information below the description of the video.

When the first Timestamp has to be marked 0:00 followed by a space, Plus the chapter’s title on the next line.

You will Type the timestamp where the next chapter starts Like This “2:31” Then space and that chapter’s title.

When you finished adding in the chapters you save the changes and the Video Chapters will be listed as you scrub through the video.

In Order to Use the Feature Videos Should have at least three Timestamps that are 10 seconds or more in Lenght.

YouTube Will Built A Haptic Feedback On Mobile Users.

To make it easier for viewers to navigate Video Chapters, YouTube built-in haptic feedback on mobile so users that will feel a slight “thump”.

Read Also: Google annual Year in Search Pakistan (QuettaToday)

That informs them they’re moving into a new chapter, the company explains. YouTube Also Explains that On platforms where haptic feedback is not available.

YouTube will use a snapping behavior that will assist you to start the video chapter.

That will help the users and the viewers who want to land on a precise spot near the chapter starts can wait for a moment before releasing so they aren’t snapped to the start of the chapter.

In that case, it will help the Users On Mobile Devices and Tablets can also slide their finger up and Down while scrubbing.

without Even knowing to reveal the scrubber bar and see exactly where they’re placing the playhead.

YouTube Got a lot of Positive FeedBack During testing of this but it has changed the product a bit based on its earlier Testing and Experimentation.

Read Also: Age of Empires IV gameplay revealed, was the long wait worth it?

After the announcement of this new Chapter is has helped to allow the devices to determine How Many Chapters can Be Shown.

How To See All The Videos All in One?

If you want to see all the Video chapters In Action Such As;

  • Radiohead Concert
  • Spotlight Channel interview with creators
  • Guitar Tutorials
  • Cooking Videos
  • Recipe Videos
  • Lectures on Machine Learning
  • and Much More
This New Feature will Perish the Videos for Negative Content

The feature could even increase user engagement with some videos as viewers won’t get frustrated by having to scroll through parts they don’t want to watch, give up, then exit the video in search of a different one that’s easier to navigate.

On the flip side, it could decrease total watch times, as viewers only watch particular sections of videos instead of the video’s full content. 

Read Also: Google sets aside $800M in ads and loans to help in COVID-19 fight

Last Words From YouTube

YouTube says the new feature will not impact recommendations. That is good news so Make sure you guys are using it in a way that will help you Grow Your Channel.

If You Have Any Question Regarding This Post you can comment on us below the session Thanks.

Continue Reading

Latest News

Top 2 Books of 2020 for all managers who want to build different and happy teams

Published

on

Top 2 Books of 2020 for all managers who want to build different and happy teams

Top 2 Books of 2020 for all managers who want to build different & Happy teams Should Read them Right now

As we know Readers are Leaders and the world top Leaders from warren Buffett to Microsoft CEO Satya Nadella are known as Eager reading habits.

Keeping a pulse on the latest successful people becomes more knowledgeable, And creative.

“Edge” by Laura Huang

This book, Laura Huang starts talking about success He added that most people think success comes from facing obstacles and shortcomings.

But Harvard Professor has a different theory in “Edge” Huang speaks that success is really about facing and understanding your shortcomings and turning them into assets.

MeToo in the Corporate World” by Sylvia Ann Hewlett

Top 2 Books of 2020 the second one is “MeToo” has changed nearly every industry all around the world, Now it is time to become a more inclusive economist.

Plus she argues in her latest work The book provides context for corporate leaders reveals new data on sexual harassment in the workplace, and gives advice on how to make environments safer for estranged people.

Read Also: Top 5 Books To Improve Your Communication Skills In 2020

Continue Reading

Trending