Saturday December 15, 2018
Home Business Microsoft&#82...

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

0
//
artificial intelligence, (representartional Image), wikimedia
Republish
Reprint

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.

NewsGram brings to you current foreign news from all over the world.
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.

NewsGram brings to you top news around the world today.

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.

Check out NewsGram for latest international news updates.

“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)

Click here for reuse options!
Copyright 2017 NewsGram

Next Story

Can Doctors Become Better With The Help Of Artificial Intelligence

The research now is on breast cancer, but doctors predict artificial intelligence will eventually make a difference in all forms of cancer and beyond.

0
Liver Cancer, Cancer, Artificial Intelligece
A high-magnification image from a 2012 glioblastoma case is seen as an example in this College of American Pathologists image released from Northfield. VOA

Teacher Rishi Rawat has one student who is not human, but a machine.

Lessons take place at a lab inside the University of Southern California’s (USC) Clinical Science Center in Los Angeles, where Rawat teaches artificial intelligence, or AI.

To help the machine learn, Rawat feeds the computer samples of cancer cells.

“They’re like a computer brain, and you can put the data into them and they will learn the patterns and the pattern recognition that’s important to making decisions,” he explained.

AI may soon be a useful tool in health care and allow doctors to understand biology and diagnose disease in ways that were never humanly possible.

Cell Pattern, Artificial Intelligence
Artificial intelligence through machine learning can detect complex patterns in cell arrangement that would be difficult for humans to recognize. VOA

Doctors not going away

“Machines are not going to take the place of doctors. Computers will not treat patients, but they will help make certain decisions and look for things that the human brain can’t recognize these patterns by itself,” said David Agus, USC’s professor of medicine and biomedical engineering, director at the Lawrence J. Ellison Institute for Transformative Medicine, and director at the university’s Center for Applied Molecular Medicine.

Rawat is part of a team of interdisciplinary scientists at USC who are researching how Artificial Intelligence and machine learning can identify complex patterns in cells and more accurately identify specific types of breast cancer tumors.

Once a confirmed cancerous tumor is removed, doctors still have to treat the patient to reduce the risk of recurrence. The type of treatment depends on the type of cancer and whether the tumor is driven by estrogen. Currently, pathologists would take a thin piece of tissue, put it on a slide, and stain with color to better see the cells.

“What the pathologist has to do is to count what percentage of the cells are brown and what percentage are not,” said Dan Ruderman, a physicist who is also assistant professor of research medicine at USC.

health, artificial Intelligence
Health would also not predict wealth as effectively as it does overall adoption and future readiness. Pixabay

The process could take days or even longer. Scientists say artificial intelligence can do something better than just count cells. Through machine learning, it can recognize complicated patterns on how the cells are arranged, with the hope, in the near future of making a quick and more reliable diagnosis that is free of human error.

“Are they disordered? Are they in a regular spacing? What’s going on exactly with the arrangement of the cells in the tissue,” described Ruderman of the types of patterns a machine can detect.

“We could do this instantaneously for almost no cost in the developing world,” Agus said.

Computing power improves

Scientists say the time is ripe for the marriage between computer science and cancer research.

“All of a sudden, we have the computing power to really do it in real time. We have the ability of scanning a slide to high enough resolution so that the computer can see every little feature of the cancer. So it’s a convergence of technology. We couldn’t have done this, we didn’t have the computing power to do this several years ago,” Agus said.

Cell Pattern, artificial Intelligence
High resolution slide scanners plus stronger computer power allows for the possibility for AI to help doctors more accurately figure out the subtype of breast cancer a patient has. VOA

Data is key to having a machine effectively do its job in medicine.

“Once you start to pool together tens and hundreds of thousands of patients and that data, you can actually [have] remarkable new insight, and so AI and machine learning is allowing that. It’s enabling us to go to the next level in medicine and really take that art to new heights,” Agus said.

Also Read: Researchers Develop Nano Technology That Offers Hope For Better Cancer Testing

Back at the lab, Rawat is not only feeding the computer more cell samples, he also designs and writes code to ensure that the algorithm has the ability to learn features unique to cancer cells.

The research now is on breast cancer, but doctors predict artificial intelligence will eventually make a difference in all forms of cancer and beyond. (VOA)