New research has shown that an algorithm can be as effective as humans at identifying animals.
Some background: Motion-sensitive cameras automatically photograph wild animals, providing massive amounts of data, but humans have to analyze every image.
The news: AI was able to accurately catalogue 3.2 million photographs from the Snapshot Serengeti project with 96.6 accuracy—matching the record set by human volunteers. The software could save an estimated 17,000 person-hours’ worth of remaining work.
Why it matters: This success could propel fields like ecology, zoology, and biology to become “big data” disciplines. “This is a game changer for wildlife ecology," says Craig Packer, head of the Snapshot Serengeti project.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
The future of generative AI is niche, not generalized
ChatGPT has sparked speculation about artificial general intelligence. But the next real phase of AI will be in specific domains and contexts.
Video: Geoffrey Hinton talks about the “existential threat” of AI
Watch Hinton speak with Will Douglas Heaven, MIT Technology Review’s senior editor for AI, at EmTech Digital.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.