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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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Researchers Develop AI Tool To Detect Mental Health Issues

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment

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The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence (AI) and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses. Pixabay

Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors.

“Machine learning allowed us to illuminate the various clinically-meaningful dimensions of language use and vocal patterns of the patients over time and personalised at each individual level,” said Indian-origin researcher and study senior author Shri Narayanan from University of Southern California (USC) in the US.

The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses.

For the results, the researchers used the ‘MyCoachConnect’ interactive voice and mobile tool, created and hosted on the Chorus platform to provide voice diaries related to their mental health states.

SAIL team then collaborated with researchers to apply artificial intelligence to listen to hundreds of voicemails using custom software to detect changes in patients’ clinical states. According to the study, the AI was able to match clinicians’ ratings of their patients.

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment, the researchers said.

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Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors. Pixabay

This project builds on SAIL’s body of work in behavioural machine intelligence to analyse psychotherapy sessions to detect empathy of addiction counselors-in-training in order to improve their chances of better outcomes, in addition to the Lab’s work analysing language for cognitive diagnoses and legal processes.

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“Our approach builds on that fundamental technique to hear what people are saying about using the modern AI. We hope this will help us better understand how our patients are doing and transform mental health care to be more personalised and proactive to what an individual needs,” said study lead author Armen Arevian. (IANS)