Monday February 18, 2019
Home Lead Story Nvidia Launch...

Nvidia Launches AI Computer to Give Autonomous Robots Better Brains

Nvidia's new products to power autonomous robots with AI

0
//
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.

Also Read: Why Elon Musk has Suddenly Gone Ballistic on Twitter

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)

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

0
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)