For 25 Years, Wikipedia Trained AI. Now it Wants Payback
Wikipedia’s partnerships with Microsoft, Meta, Perplexity, Mistral, and Amazon have ushered it into the AI era.
- Published on July 10, 2021
- In Global Tech
Behind Clara Parabricks: NVIDIA’s Framework For Genomic Research
- By Ritika Sagar
A wealth of biological data has fueled the ability of scientists and healthcare researchers to utilise powerful computational methods to uncover insights. High-performance computer systems and domain-specific software frameworks are balancing out this digital biology revolution.
Two of the world's most powerful supercomputers, based on the NVIDIA DGX SuperPOD standard architecture- NVIDIA's Cambridge-1 and Recursion's BioHive-1, have recently been named in the TOP500 ranking of most powerful systems. Last year, researchers at the Athinoula A Martinos Center for Biomedical Imaging used various NVIDIA AI systems, including NVIDIA DGX-1, to accelerate their research on calculating lung disease severity from X-ray images to predict outcomes in COVID patients.
While these advancements are taking place, Next-Generation Sequencing (NGS) activities are now being powered by the NVIDIA Clara Parabricks suite of genomics libraries and reference applications to push the barriers of gen
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Ritika Sagar
Ritika Sagar is currently pursuing PDG in Journalism from St. Xavier's, Mumbai. She is a journalist in the making who spends her time playing video games and analyzing the developments in the tech world.
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