AIMode.newsSearch
Live

Grasshopper-inspired AI boosts emergency resource prediction

P

Phys.org

AIMode News Desk · curated summary

1 min readScience

Automated news aggregation. Headlines and summaries are gathered from public feeds; see our editorial standards for sourcing, corrections, and AI-assist disclosure.

A hybrid artificial intelligence (AI) system modeled on grasshopper behavior could help allocate medical resources, transport and power during an urban emergency, according to research in the International Journal of Environmental Technology and Management. Tests of the new hybrid model on historical emergency data sets show it to be highly effective.

Key takeaways

  • 01A hybrid artificial intelligence (AI) system modeled on grasshopper behavior could help allocate medical resources, transport and power during an urban emergency, according to research in the International Journal of Environmental Technology and Management.
  • 02Tests of the new hybrid model on historical emergency data sets show it to be highly effective.
Advertisement

About this story

This story was aggregated from Phys.org. Headlines, summaries, and links are gathered automatically from public RSS feeds for your convenience.

Read the full story →

For agents:JSON recordOpenAPIWebMCPllms.txt

Advertisement

More in Science

Science

How 35% of US employees are left on the margins

You've heard of gig workers, freelancers and temporary employees. But do you know about marginal workers? Accounting for about one in six U.S. jobs, it's a huge category of people who are going nowhere fast in the workplace—and don't really have much say about that.

Phys.org ·

Science

Existing drug could treat invasive canine oral tumors

A benign but invasive canine oral cancer is often mistaken for a similar malignant one, leading to misdiagnoses in close to a third of cases. But a new diagnostic tool can now distinguish between the two, according to a new study that also identified a promising FDA-approved drug ready for clinical trials.

Phys.org ·