Tuesday February 19, 2019
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Intel to Train 15,000 people Under It’s ‘AI Developer Education Program’

The company says use of AI in sectors such as autonomous driving and the internet of things will create massive amounts of data.

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Research on AI and Machine Learning is already on at all Indian Institutes of Technologies (IITs). VOA
Intel bets on artificial intelligence, to train 15,000 people in India. VOA

Intel is betting on Artificial Intelligence (AI) to drive demand for its electronic chips, for which it is aiming to train 15,000 scientists, developers, engineers and students on AI in India over the next one year.

The company will host 60 courses under its ‘AI Developer Education Program’. These will train people on ways they can adopt AI for better research, testing or even building of products. Intel is looking at India due to the country’s large base of technical talent. The country is the third largest global site for AI companies.

“As India undergoes rapid digital transformation, data centres and the intelligence behind the data collected will enable the government and industry to make effective decisions based on algorithms. This means increasing opportunities for using AI in the country,” said Prakash Mallya, managing director at Intel for South Asia.

The enterprise solutions major has integrated SAP CoPilot with the "SAP S/4HANA" Cloud.
AI will contribute to the biggest workload in data centres by 2020 Pixabay

He says adoption of AI in developing countries would be much faster than in developed nations, as the magnitude of change it will bring will be far larger. Intel wishes to involve the government, academia and hospitals, too.

Research on AI and Machine Learning is already on at all Indian Institutes of Technologies (IITs), the Indian Institute of Science and some private universities. The company is keen to partner with these institutions, to drive adoption of its services and to get the next generation of scientists and technologists trained for using its products and services.

“Our research groups are currently working on implementation of evolutionary algorithms in parallel environments, and using Intel based platforms and software tools to deploy, parallelise and optimise systems,” said Pushpak Bhattacharya, Director at IIT, Patna. Intel says by 2020, AI would contribute to the biggest workload in data centres, as analysis of data becomes ever more important for businesses, governments and academia. Its products reflect this change, becoming more capable in handling tasks on machine learning, computer vision and the like.

Also Read: Intel Introduces Xeon E Processor for Entry-Level Workstations

The company says use of AI in sectors such as autonomous driving and the internet of things will create massive amounts of data, which in turn will have to be analysed. Mallya says a million autonomous cars have the capacity to create half as much data as humanity creates as a whole today. (IANS)

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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)