Monterey Bay Aquarium Research Institute

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Robots to the rescue: Autonomous innovation to serve the greater good

By combining robotics, automation, and artificial intelligence (AI), Maryland Engineering researchers and students are building solutions that can help save lives, protect property, and safeguard the environment.

Using space data to restore nature: four SME projects showcase their plans before Sussex investors

An AI-powered app helping children speak to endangered animals; a tool to use nature to fight climate change; a way to measure forest health; and a method to make decisions to build healthy communities - these four projects are using space data to help nature.

Proposed AI facility at UH approved by panels

Two Senate committees Tuesday unanimously passed a bill that continues momentum for a proposed artificial intelligence institute at the University of Hawaii.

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How science is fast-tracking ocean discovery with AI, satellites and genetic breakthroughs

The ocean covers nearly three-quarters of our planet but scientists say we have barely scratched the surface of what lives in our seas. But new

Decoding nature: How a new multimodal AI model is advancing species identification

Species classification and distribution mapping have traditionally relied on isolated data sources such as image recognition or geographic information systems. While these approaches provide useful insights,

UC teams with Bay Area tech company for new lab that hopes to make AI work for artists

Meanwhile, in the federal courthouse in San Francisco, artists are suing companies Stability AI, DeviantArt, Midjourney and Runway AI. Their legal complaint describes the firms' AI-powered image generators as "copyright-laundering devices, promising customers the benefits of art without the costs of artists."

Mayo Clinic's secret weapon against AI hallucinations: Reverse RAG in action

To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.

AI accelerating medical research; Solving pain points in sales

Beyond speed, AI has also helped reduce costs. Conventional methods required nearly $35,000 per genome analysis, but AI-driven models running on GPUs have lowered the cost to under $2,000, making high-quality genomic research more accessible.

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