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Microsoft Will Become an AI First Industry,Will Improve Lives, Says CEO

"It's happening because of the ability to provision lots of compute capability, to have lots of data, and these new techniques of algorithm promise around deep neural net in particular," Nadella said

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Microsoft
Microsoft doesn't use customers' data for profit: Satya Nadella. (Wikimedia Commons)

Recent advances in Artificial Intelligence (AI) have been “pretty stunning” but what the humanity is going to see soon will be even more profound across the spectrum, Microsoft CEO Satya Nadella has stressed.

Addressing thousands of partners at the ‘Microsoft Inspire’ event here on Wednesday, Nadella said that the potential is for us to be able to turn every industry into an AI-first industry, be it retail, healthcare or agriculture.

“Microsoft has been working on fundamental AI breakthroughs for over 20 years and some of the advances, especially as measured by our ability to have human parity in a lot of these perception and language capabilities is pretty stunning.

“It’s happening because of the ability to provision lots of compute capability, to have lots of data, and these new techniques of algorithm promise around deep neural net in particular,” Nadella said.

“For us to be able to turn every industry into an AI-first industry, whether it’s retail or healthcare or agriculture, we want to be able to make sure that they can take their data, in a security-privacy preserving way, convert that into AI capability that they get the return on. That’s really the objective,” the Microsoft CEO emphasised.

Wherever there is data, compute will migrate to data.

“So we are going and taking Azure to Azure Stack, to Azure IoT Edge, to Azure Sphere. This is that one ubiquitous distributed computing fabric. One programming model that is event-driven, serverless, so you can write an application that truly works across all of this,” Nadella explained.

“As we look forward, the opportunity for us to serve our customers in this new era of the Intelligent Cloud and the Intelligent Edge is far greater,” he added.

Microsoft
Microsoft has been working on fundamental AI breakthroughs for over 20 years .

According to him, Microsoft is going to infuse everything with AI.

“It’s going to have perception capability, language capability and autonomy that’s going to be built into the applications going forward.

“Autonomy is not just about a few self-driving projects. This is about autonomy everywhere,” the Microsoft CEO added.

Walmart is using Azure as well as Microsoft 365 and Dynamics 365. The cash-and-carry major announced a five-year strategic partnership with Microsoft on July 17.

Walmart will now embark on a broad set of Cloud innovation projects that leverage Machine Learning (ML), Artificial Intelligence (AI) and data platform solutions for a wide range of external customer-facing services and internal business applications.

“They are innovating in retail. They have an amazing presence in offline. And they have good momentum in their online efforts with Jeff and Walmart.com,” Nadella told the gathering.

Also Read-Microsoft Launches Affordable ‘Surface Go’ Tablet

He said that Microsoft 365 will help customers have people-centred experiences rather than device-centred experiences.

The tech giant which has touched $800 billion valuation for the first time, was set to release its quarterly results late on Thursday. (IANS LIVE)

Next Story

With Ovarian Cancer Deaths Set to Spike by 67%, AI to Rescue: Study

However, the scans cannot give clinicians detailed insight into patients’ likely overall outcomes or on the likely effect of a therapeutic intervention

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Cancer
Cancer Ribbon. Pixabay

With the incidence of ovarian cancer likely to increase by 55 per cent in another 15 years or so, researchers have created an artificial intelligence (AI) software to help best treat ovarian cancer that will pave the way for personalised medicine and expedite relief, a new study says.

The mathematical software tool — TEXLab — can also predict what treatment might be most effective for patients with the World Ovarian Cancer Coalition predicting that deaths will likely increase by 67 per cent by 2035 due to this particular cancer.

The technology can be used to identify patients who are unlikely to respond to standard treatments and offer alternatives as ovarian cancer is the sixth most common cancer in women in the UK that usually strikes after menopause or those with a family history of the disease.

Early detection of the disease could improve survival rates, the study noted.

“Long-term survival rate for patients with advanced ovarian cancer is poor despite advancements in treatments. There is an urgent need for new ways,” said lead author Eric Aboagye, Professor at Imperial College London.

For the study, researchers used the software to identify the aggressiveness of tumours in CT scans and tissue samples from 364 women with ovarian cancer.

The patients were then given a score known as Radiomic Prognostic Vector (RPV) which indicates how severe the disease is, ranging from mild to severe.

Cancer patient
Cancer patient.

The findings, published in Nature Communications, showed that the software was up to four times more accurate for predicting deaths from ovarian cancer than standard methods.

In addition, five per cent of patients with high RPV scores had a survival rate of less than two years, results showed.

High RPV was also associated with chemotherapy resistance and poor surgical outcomes, suggesting that RPV can be used as a potential bio-marker to predict how patients would respond to treatments.

“Our technology is able to give clinicians more detailed and accurate information on how the patients are likely to respond to different treatments, which could enable them to make better and more targeted treatment decisions,” said Aboagye.

Also Read- AI Can Help Improve Understanding of Earth Science

Doctors as of now diagnose ovarian cancer in a number of ways, including a blood test followed by a CT scan that uses X-rays and a computer to create detailed pictures of the ovarian tumour.

This helps clinicians know how far the disease has spread and determines the type of treatment patients receive, such as surgery and chemotherapy.

However, the scans cannot give clinicians detailed insight into patients’ likely overall outcomes or on the likely effect of a therapeutic intervention. (IANS)