Thursday August 16, 2018
Home Lead Story Microsoft Wil...

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

0
//
14
Microsoft
"Autonomy is not just about a few self-driving projects. This is about autonomy everywhere," the Microsoft CEO. (Wikimedia Commons)
Republish
Reprint

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)

Click here for reuse options!
Copyright 2018 NewsGram

Next Story

Researchers Develop AI That Can Help Make Cancer Treatment Less Toxic

The new "self-learning" machine-learning technique could make the dosing regimen less toxic but still effective

0
Cancer
Indian-American researchers unleash turmeric's power to fight cancer. Pixabay

MIT researchers, including one of Indian-origin, have developed novel machine-learning techniques to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for an aggressive form of brain cancer.

Glioblastoma is a malignant tumour that appears in the brain or spinal cord, and the prognosis for adults is no more than five years.

Patients are generally administered maximum safe drug doses to shrink the tumour as much as possible, but they still remain at risk of debilitating side effects.

The new “self-learning” machine-learning technique could make the dosing regimen less toxic but still effective.

It looks at the treatment regimen currently in use, and finds an optimal treatment plan, with the lowest possible potency and frequency of doses that should still reduce tumour sizes to a degree comparable to that of traditional regimen, the researchers said.

“We kept the goal where we have to help patients by reducing tumour sizes but, at the same time, we want to make sure the quality of life — the dosing toxicity — doesn’t lead to overwhelming sickness and harmful side effects,” said Pratik Shah, principal investigator from the Massachusetts Institute of Technology (MIT) in Boston, US.

Cancer
Representational image. Pixabay

The findings will be presented at the 2018 Machine Learning for Healthcare conference at Stanford University in California, US.

In simulated trials of 50 patients, the model comprising of artificially intelligent “agents”, designed treatment cycles that reduced the potency to a quarter or half of nearly all the doses while maintaining the same tumour-shrinking potential.

Many times, it skipped doses altogether, scheduling administrations only twice a year instead of monthly.

You May Also Like to Read About The Relation of Cancer Cells With Immune System- Decoded: How Cancer Cells Cripple Immune System

However, the researchers also had to make sure the model does not just dish out a maximum number and potency of doses. Whenever the model chooses to administer all full doses, it gets penalized, so instead it chooses fewer, smaller doses.

“If all we want to do is reduce the mean tumour diameter, and let it take whatever actions it wants, it will administer drugs irresponsibly,” Shah said.

“Instead, we need to reduce the harmful actions it takes to get to that outcome.” (IANS)