Amit Kumar – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2024-11-20T00:26:26Z http://www.open-lab.net/blog/feed/ Amit Kumar <![CDATA[Advancing Neuroscience Research with Visual Question Answering and Multimodal Retrieval]]> http://www.open-lab.net/blog/?p=90772 2024-11-20T00:26:26Z 2024-11-20T21:30:00Z Leading healthcare organizations are turning to generative AI to help build applications that can deliver life-saving impacts. These organizations include the...]]>

Leading healthcare organizations are turning to generative AI to help build applications that can deliver life-saving impacts. These organizations include the Indian Institute of Technology Madras – IIT Madras Brain Centre. Advancing neuroscience research, the IIT Madras Brain Centre is using AI to generate analyses of whole human brains at a cellular level across various demographics.

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Amit Kumar <![CDATA[High Throughput AI-Driven Drug Discovery Pipeline]]> http://www.open-lab.net/blog/?p=90642 2024-11-14T17:10:56Z 2024-10-30T17:54:45Z The integration of AI in drug discovery is revolutionizing the way researchers approach the development of new treatments for various diseases. Traditional...]]>

The integration of AI in drug discovery is revolutionizing the way researchers approach the development of new treatments for various diseases. Traditional methods are often time-consuming and costly, with the process of bringing a new drug to market taking up to 15 years and costing between $1–2B. By using AI and advanced computational tools, researchers can now accelerate the…

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Amit Kumar <![CDATA[Whole Human Brain Neuro-Mapping at Cellular Resolution on NVIDIA DGX]]> http://www.open-lab.net/blog/?p=71819 2023-11-16T19:16:42Z 2023-11-08T17:55:53Z Whole human brain imaging of 100 brains at a cellular level within a 2-year timespan, and subsequent analysis and mapping, requires accelerated supercomputing...]]>

Whole human brain imaging of 100 brains at a cellular level within a 2-year timespan, and subsequent analysis and mapping, requires accelerated supercomputing and computational tools. This need is well matched by NVIDIA technologies, which range across hardware, computational systems, high-bandwidth interconnects, domain-specific libraries, accelerated toolboxes, curated deep-learning models…

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