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Thứ Bảy, 18 tháng 3, 2017

New MIT-developed System can make Webpages load 34 per cent Faster in any Browser

Students walk across the MIT campus, where the program was developed Joe Raedle/Getty Images

The 'Polaris' system could help counter the browser-slowing effects of complex webpages



Computer scientists at the world-famous Massachusetts Institute of Technology (MIT) have developed a system that can reliably make websites load 34 per cent faster.

As internet speeds have increased, websites have got more complex, leaving some pages sluggish and unresponsive. This is a problem for companies like Amazon, who say that for every one-second delay in loading time, their profits are cut by one per cent.
But a team of researchers, working at the university's Computer Science and Artificial Intelligence Laboratory, may have found the solution.



Named Polaris, the system cuts load-times by determining the best way to 'overlap' the downloading of different parts of a webpage.

When you visit a new page, your browser reaches across the internet to fetch 'objects' like pictures, videos, and HTML files. The browser then evaluates the objects and puts them on the page.

However, some objects are dependent on others, and browsers can't see all of these dependencies until they come across them.

Polaris works by tracking all of these relationships and dependencies between objects on the page and turning the information into a 'dependency graph' that can be interpreted by your browser.

Polaris essentially gives the browser a roadmap of the page, with all the details of the best and quickest way to load it.

PhD student Ravi Netravali, who worked on Polaris, explained: "It can take up to 100
milliseconds each time a browser has to cross a mobile network to fetch a piece of data."
"As pages increase in complexity, they often require multiple trips that create delays that really add up. Our approach minimizes the number of round trips so that we can substantially speed up a page's load-time."



The researchers tested Polaris across a range of network conditions on some of the world's most popular websites, and found it made them load an average of 34 per cent faster when compared to a normal browser.

Polaris could be used on any website and with unmodified browsers, and when tech companies like Google and Amazon are working hard to improve load-times, a similar system might appear on your device soon.

Source: Massachusetts Institute Of Technology, Computer Science

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MIT desarrolla un Nuevo Sistema que Revolucionará las Páginas Web

Los estudiantes caminan por el campus del MIT, donde se desarrolló el programa Joe Raedle / Getty Images

El sistema 'Polaris' podría ayudar a contrarrestar los efectos de desaceleración del navegador de páginas web complejas



Científicos de computación del famoso Instituto de Tecnología de Massachusetts (MIT) han desarrollado un sistema que puede hacer que los sitios web, de forma fiable, carguen un 34 por ciento más rápido.

Como las velocidades del Internet han aumentado, los sitios web se han vuelto más complejos, dejando algunas páginas lentas e insensibles. Este es un problema para las empresas como Amazon, que dicen que por cada segundo de retraso en el tiempo de carga, sus beneficios se reducen en un uno por ciento.

Pero un equipo de investigadores, que trabaja en el Laboratorio de Informática e Inteligencia Artificial de la universidad, ha logrado encontrado la solución.

Nombrado Polaris, el sistema reduce los tiempos de carga determinando la mejor manera de "superponerse" a la descarga de diferentes partes de una página web.



Cuando visita una página nueva, su navegador llega a través del Internet para buscar "objetos" como imágenes, videos y archivos HTML. A continuación, el navegador evalúa los objetos y los coloca en la página.

Sin embargo, algunos objetos son dependientes de otros, y los navegadores no pueden ver todas estas dependencias hasta que se encuentran con ellos.

Polaris funciona mediante el seguimiento de todas estas relaciones y dependencias entre los objetos en la página y convertir la información en un "gráfico de dependencia" que puede ser interpretado por su navegador.
Polaris esencialmente da al navegador una hoja de ruta de la página, con todos los detalles de la mejor y más rápida forma de cargarlo.



El estudiante de PhD, Ravi Netravali, que trabajó en Polaris, explicó: "Se puede tomar hasta 100 milisegundos cada vez que un navegador tiene que cruzar una red móvil, a buscar una pieza de datos."
"
A medida que las páginas aumentan en complejidad, a menudo requieren viajes múltiples que crean retrasos que realmente se van sumando. Nuestro enfoque minimiza el número de viajes de ida y vuelta para que podamos aumentar sustancialmente el tiempo de carga de una página".
Los investigadores probaron Polaris a través de una amplia gama de condiciones de red, en algunos de los sitios web más populares del mundo, y encontraron que les hacía cargar un promedio de un 34 por ciento más rápido, en comparación con un navegador normal.

Polaris podría ser utilizado en cualquier sitio web, en los navegadores no modificados, y cuando las empresas de tecnología como Google y Amazon estén trabajando fuerte para mejorar la carga de los tiempos, un sistema similar podría aparecer en el dispositivo, prontamente.
Fuente: Instituto de Tecnología de Massachusetts, Ciencias de la Computación

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Thứ Tư, 27 tháng 4, 2016

MIT built a New Artificial Intelligence System

Incredible software can detect Cyberattack with high efficiency



Can you imagine if we could predict when a cyberattack is going to occur before it actually happens, and prevent it? Wouldn’t it be a revolutionary idea for Internet Security?

Security researchers at MIT have developed a new Artificial Intelligence-based cyber security platform called ‘AI2’, which has the ability to predict, detect, and stop 85% of Cyber Attacks with high accuracy.

Cyber security is a major challenge in today's world as government agencies, corporations, and individuals have increasingly become victims of cyberattacks. The attacks are rapidly finding new ways to threaten the Internet that consequently, has become extremely difficult for the good guys to keep up with them.

A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with the machine-learning startup Pattern-Ex to develop a line of defense against such cyber threats.



The team has already developed an Artificial Intelligence system that can detect 85 percent of attacks by reviewing data from more than 3.6 Billion lines of log files each day and informs anything suspicious.

The new system does not just rely on the artificial intelligence (AI), but also on human input, which researchers call Analyst Intuition (AI). That is why it has been given the name of Artificial Intelligence Squared or AI2.



How Does AI2 Work?



The system first scans the content with unsupervised machine-learning techniques, and subsequently presents its findings to human analysts at the end of each day.

The human analyst then identifies which events are actual cyberattacks and which aren't. This feedback is then incorporated into the machine learning system of AI2, and is used the next day for analyzing new logs.

It's simple:

"The more data it analyzes, the more accurate it becomes."

In its test, the team demonstrated that AI2 is roughly 3 times better than similar automated cyberattack detection systems used today. AI2 also reduces the number of false positives by a factor of five.



According to Nitesh Chawla, computer science professor at Notre Dame University, AI2, "continuously generates new models that it can refine in as little as a few hours, meaning it can improve its detection rates significantly and rapidly. The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions – that human-machine interaction creates a beautiful, cascading effect."
The team presented their work last week at the IEEE International Conference on Big Data Security in New York City.



This is breaking news to fight the increasing field. Ultimately, let us see how AI2 helps to create the Internet a safer place, and how long it will take for AI2 be implemented into large-scale security platforms in the near future.

Source: Swati Khandelwal



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