Webinar: GPU-Accelerated Analysis of DNA Sequencing Data

Accelerated Computing, Artificial Intelligence, Cloud, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla, Workstation

Nadeem Mohammad, posted Feb 17 2018

Personalizing treatments based on patients’ genetic variation will revolutionize how medicine cures diseases; but time to analysis has become a major bottleneck.

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Apple Watch Detects Signs of Diabetes

Artificial Intelligence, cuDNN, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Feb 08 2018

Researchers at digital health startup Cardiogram and UCSF (University of California San Francisco) developed a deep learning algorithm that can diagnose diabetes with an 85% accuracy by using the smart watch’s built-in heart rate sensor.

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NVIDIA Looking For World’s Best AI Startup

Artificial Intelligence, Autonomous Vehicles, Features, Robotics, Automotive, Autonomous, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 22 2018

At the 2018 GPU Technology Conference in San Jose on March 26-29, the NVIDIA Inception virtual accelerator program will host a $1 million competition to find this year’s best AI startup across three categories: Healthcare, Autonomous Systems, and Ent

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Real-Time Seizure Detection of Newborn Infants

Artificial Intelligence, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Dec 19 2017

Researchers from University of College Cork in Ireland developed a deep learning-based monitoring system that automatically detects seizures as they occur which can help improve the outcomes for these babies who have a difficult start in life.

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AI Helps Amputee Play Piano for First Time Since 2012

Artificial Intelligence, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Media & Entertainment

Nadeem Mohammad, posted Dec 13 2017

Researchers at the Georgia Institute of Technology developed an ultrasonic sensor using GPUs and deep learning that allows amputees to control individual fingers on a prosthetic hand.

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Algorithm Successfully Diagnoses Pneumonia at Radiologist-Level Accuracy

Artificial Intelligence, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Dec 12 2017

A team of Stanford researchers developed a deep learning-based algorithm that evaluates chest X-rays for signs of disease.

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See How NVIDIA is Helping Transform Healthcare at RSNA 2017

Artificial Intelligence, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 27 2017

By partnering with leading healthcare institutions and organizations like the American College of Radiology, GE Healthcare and Nuance, NVIDIA will help bring to market new solutions that transform healthcare.

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Deep Learning Helps Reconstruct and Improve Optical Microscopy

Artificial Intelligence, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 22 2017

Researchers from UCLA developed a deep learning approach that could quickly produce more accurate images to aid diagnostic medicine.

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AI Mind-Reading Technology Can Decode Your Brain

Artificial Intelligence, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Oct 23 2017

Researchers from Purdue University developed a model that can decode what the human brain is seeing by using deep learning to interpret fMRI scans from people watching videos, representing a sort of mind-reading technology.

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Detecting Concussions with a Smartphone and Deep Learning

Artificial Intelligence, Features, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 11 2017

Researchers from University of Washington developed a smartphone app that can detect concussions and other brain injuries — whether on the sidelines of a sports game or at an accident site.

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