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Microsoft’s Cortana and Adobe join hands to provide Artificial Intelligence (AI) based services

The two tech giants were working on standard data models and sharing of core libraries between Adobe's Sensei and Microsoft's Cortana, both based on AI

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artificial intelligence, (representartional Image), wikimedia

Las Vegas, March 23, 2017: Adobe and Microsoft are jointly working on artificial intelligence (AI) to offer better products and provide customers more automated, intelligence-based experiences, a top Adobe official said here.

Brad Rencher, executive vice-president and general manager, marketing, of Adobe, said that the two tech giants were working on standard data models and sharing of core libraries between Adobe’s Sensei and Microsoft’s Cortana, both based on AI.

Cortana is a search tool which can verbally provide answers to search queries and Sensei – a set of intelligent services from Adobe – integrates the advertising, marketing and analytics products offered on Cloud with back up of creatives and documentation.

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Rencher, who was talking to a group of journalists here at the Adobe’s annual summit, said that the joint research and development would combine the specific domain capabilities of Sensei with the wider core data platform of Cortana, thus building a service.

Adobe products can now use data from Microsoft Dynamics 365, Microsoft Power BI and Microsoft Azure into Sensei for intelligent machine learning.

Sensei will soon enter into Microsoft tools.

Rencher, however, said no discussion had taken place on how to monetise the collaboration.

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Talking of Adobe’s presence in India, Rencher said that it was the fastest growing market and they have had a very substantial amount of the company’s research taking place in India, including on Sensei.

Rencher also said that large Indian companies are rapidly adopting Adobe’s products and Cloud offerings.

“Reliance Industries was looking at how to integrate data across all its various divisions and Adobe had helped a very old newspaper, Malayala Manorama, to completely digitise its functions across the board,” noted Rencher.

Despite the enormous amount of research taking place on AI, he said that he did not believe that it could replace the creative side of human beings.

“What AI can do is reduce the time taken in intelligent data crunching and sometimes understanding what went wrong very quickly,” Rencher added.

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“By cutting six months of manual research to, say two minutes, it adds huge amount of strength to the creative aspects of human beings,” he noted. (IANS)

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This AI System Can Evade Censorship In India, China and Kazakhstan

Researchers develop an AI tool that evades censorship in India, China and Kazakhstan

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(AI)-based system automatically learns to evade censorship in India, China and Kazakhstan. Pixabay

Researchers have developed an Artificial Intelligence (AI)-based system that automatically learns to evade censorship in India, China and Kazakhstan.

The tool, called Geneva (short for Genetic Evasion), found dozens of ways to circumvent censorship by exploiting gaps in censors’ logic and finding bugs that the researchers said would have been virtually impossible for humans to find manually.

The researchers are scheduled to introduce Geneva during a peer-reviewed talk at the Association for Computing Machinery’s 26th Conference on Computer and Communications Security in London on Thursday.

“With Geneva, we are, for the first time, at a major advantage in the censorship arms race,” said Dave Levin, an assistant professor of computer science at the University of Maryland in the US and senior author of the paper.

“Geneva represents the first step toward a whole new arms race in which artificial intelligence systems of censors and evaders compete with one another. Ultimately, winning this race means bringing free speech and open communication to millions of users around the world who currently don’t have them,” Levin said.\

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This AI system that evades censorship is called ‘Geneva’. Pixabay

To demonstrate that Geneva worked in the real world against undiscovered censorship strategies, the team ran Geneva on a computer in China with an unmodified Google Chrome browser installed.

By deploying strategies identified by Geneva, the user was able to browse free of keyword censorship.

The researchers also successfully evaded censorship in India, which blocks forbidden URLs, and Kazakhstan, which was eavesdropping on certain social media sites at the time, said a statement from the University of Maryland.

All information on the Internet is broken into data packets by the sender’s computer and reassembled by the receiving computer.

One prevalent form of Internet censorship works by monitoring the data packets sent during an Internet search.

The censor blocks requests that either contain flagged keywords (such as “Tiananmen Square” in China) or prohibited domain names (such as “Wikipedia” in many countries).

When Geneva is running on a computer that is sending out web requests through a censor, it modifies how data is broken up and sent, so that the censor does not recognise forbidden content or is unable to censor the connection.

Known as a genetic algorithm, Geneva is a biologically inspired type of AI that Levin and his team developed to work in the background as a user browses the web from a standard Internet browser.

Like biological systems, Geneva forms sets of instructions from genetic building blocks. But rather than using DNA as building blocks, Geneva uses small pieces of code.

Censorship
By deploying strategies identified by Geneva, the user is able to browse free of keyword censorship. Pixabay

Individually, the bits of code do very little, but when composed into instructions, they can perform sophisticated evasion strategies for breaking up, arranging or sending data packets.

The tool evolves its genetic code through successive attempts (or generations). With each generation, Geneva keeps the instructions that work best at evading censorship and kicks out the rest.

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Geneva mutates and cross breeds its strategies by randomly removing instructions, adding new instructions, or combining successful instructions and testing the strategy again.

Through this evolutionary process, Geneva is able to identify multiple evasion strategies very quickly, said the study. (IANS)