BenevolentAI adds NVIDIA supercomputer to process medical data
Company using NVIDIA’s DGX-1 supercomputer to process biomedical insights
BenevolentAI announced it is using NVIDIA's DGX-1 supercomputer to process vast amounts of medical data to help treat serious diseases faster than was previously possible.
The company said it is the first European company to use the technology, which it believes will make a huge difference to patients and organisations seeking to find new cures for illnesses.
NVIDIA's DGX-1 supercomputer uses BenevolentAI's Judgment Augmented Cognition System (JACS), which uses natural language processing, machine learning and artificial intelligence to help scientists understand the nuances of disease.
Ken Mulvany, co-founder and director of BenevolentAI that the supercomputer will overcome the issues researchers are currently experiencing when it comes to processing medical data - that they don't have the manual resource to process such vast amounts of information.
This method will ensure researchers can process the information in scientific articles and hundreds of medical databases, from which they can form hypotheses and draw conclusions faster than a human can.
"There are 10,000 updates per day on PubMed alone, presenting an impossible challenge to scientists to keep up with the rate at which new scientific knowledge is produced," Mulvany explained.
"This new AI supercomputer will boost our processing power and accelerate the creation of new relationships amongst disparate information sources to yield faster scientific innovation. For the current application of our AI technology in the bioscience space, it will mean that new drug discoveries can be made faster and more efficiently than ever before."
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