Previous AI lost intra-species variations at scale. Researchers curated 214M images to train a model that preserves fine physical traits.
A university research institute is building a visual foundation model for half of the world's named species, utilizing a newly assembled dataset of 214 million images to support global conservation efforts.
The scientific community faces massive biodiversity data gaps, with half of the 160,000 monitored species categorized as data deficient and...
“NVIDIA GPUs, known for their capabilities in accelerating AI and scientific research, were integral to making these discoveries possible by providing the necessary computational backbone.”
Public research university with academic, medical, and athletic programs.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Previous AI lost intra-species variations at scale. Researchers curated 214M images to train a model that preserves fine physical traits.
A university research institute is building a visual foundation model for half of the world's named species, utilizing a newly assembled dataset of 214 million images to support global conservation efforts.
The scientific community faces massive biodiversity data gaps, with half of the 160,000 monitored species categorized as data deficient and...
“NVIDIA GPUs, known for their capabilities in accelerating AI and scientific research, were integral to making these discoveries possible by providing the necessary computational backbone.”
Public research university with academic, medical, and athletic programs.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Tracking disease meant drawing manual bounding boxes. Scientists now use text prompts to automate behavior analysis at scale.
Analysis was fragmented across six satellite models. One AI backbone now unifies the view to track individual saplings.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.