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Nvidia Launches AI Computer to Give Autonomous Robots Better Brains

Nvidia's new products to power autonomous robots with AI

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Nvidia Launches AI Computer to Give Autonomous Robots Better Brains
Nvidia Launches AI Computer to Give Autonomous Robots Better Brains. (IANS)

US-based chip-designer Nvidia Corporation unveiled two new products, “Nvidia Issac”, a new developer platform and “Jetson Xavier”, an Artificial Intelligence (AI)-based computer in an attempt to power autonomous robots.

“‘Isaac and Jetson Xavier’ were designed to capture the next stage of AI innovation as it moves from software running in the cloud to robots that navigate the real world,” The Verge quoted Nvidia CEO Jensen Huang as saying on Monday.

The developer platform “Nvidia Issac” is a set of software tools including application programming interfaces (APIs) to connect to 3D cameras and sensors, a library of AI accelerators to keep algorithms running smoothly and a new simulation environment “Isaac Sim” for training and testing bots in a virtual space.

Representational image (AI)
Representational image (AI). Pixabay

On the other hand, Nvidia’s AI-based computer, “Jetson Xavier”, is made of over nine billion transistors and processing components including deep learning accelerators and processors for static images and video, capable of delivering over 30 trillion operations per second (TOPS) of compute, consuming just 30 watts of power, the report added.

“AI, in combination with sensors and actuators, will be the brain of a new generation of autonomous machines,” Hunag was quoted as saying.

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The cost of one “Jetson Xavier” along with access to the “Issac” platform is $1,299.

Nvidia announced the products at Computex 2018, Taipei.

Nvidia’s chips are already used to power robots made by a company called “Fellow”. (IANS)

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This AI Tool Can Predict Mortality Of Heart Failure Patients

Researchers develop a tool that can predict mortality of heart failure patients

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This artificial intelligence (AI) tool can predict life expectancy in heart failure patients. Pixabay

Researchers have developed an artificial intelligence (AI) tool to predict life expectancy in heart failure patients.

The machine learning algorithm based on de-identified electronic health, records data of 5,822 hospitalised or ambulatory patients with heart failure at UC San Diego Health in the US.

“We wanted to develop a tool that predicted life expectancy in heart failure patients, there are apps where algorithms are finding out all kinds of things, like products you want to purchase,” said Avi Yagil, Professor at University of California.

“We needed a similar tool to make medical decisions. Predicting mortality is important in patients with heart failure. Current strategies for predicting risk, however, are only modestly successful and can be subjective,” Yagil added.

From this model, a risk score was derived that determined low and high risk of death by identifying eight readily available variables collected for the majority of patients with heart failure:Diastolic blood pressure, Creatinine, Blood urea nitrogen, White blood cell count, Platelets, Albumin and Red blood cell distribution.

Yagil said the newly developed model was able to accurately predict life expectancy 88 per cent of the time and performed substantially better than other popular published models.

“This tool gives us insight, for example, on the probability that a given patient will die from heart failure in the next three months or a year,” said researcher Eric Adler.

Heart failure patients
The mortality of a heart failure patient can be predicted. Pixabay

“This is incredibly valuable. It allows us to make informed decisions based on a proven methodology and not have to look into a crystal ball,” he added.

The tool was additionally tested using de-identified patient data from the University of California San Francisco and a data base derived from 11 European medical centers.

“It was successful in those cohorts as well,” said Yagil.

“Being able to repurpose our findings in independent populations is of utmost importance, thus validating our methodology and its results,” Yagil added.

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Researchers said the partnership between physicists and cardiologists was critical to developing a reliable tool and extensive knowledge and experiences from both sides proved synergetic.

The study was published in the European Journal of Heart Failure. (IANS)