The AI Developed To Identify And Count Wild Animals

Video

Researchers at the University of Wyoming are working with online community Snapshot Serengeti to develop artificial intelligence that can identify, count and describe wild animals in Tanzania.

Over 3.2 million pictures of animals - captured by hidden cameras - have been identified by Snapshot Serengeti volunteers and the data collected is being used to power the AI algorithm, using deep neural networks.

See more at Click's website and @BBCClick.

Deep neural network video: Yosinski J, Clune J, Nguyen A, Fuchs T, Lipson H.

Photo: Snapshot Serengeti

  • 19 Jun 2018

RECENT NEWS

From Chip War To Cloud War: The Next Frontier In Global Tech Competition

The global chip war, characterized by intense competition among nations and corporations for supremacy in semiconductor ... Read more

The High Stakes Of Tech Regulation: Security Risks And Market Dynamics

The influence of tech giants in the global economy continues to grow, raising crucial questions about how to balance sec... Read more

The Tyranny Of Instagram Interiors: Why It's Time To Break Free From Algorithm-Driven Aesthetics

Instagram has become a dominant force in shaping interior design trends, offering a seemingly endless stream of inspirat... Read more

The Data Crunch In AI: Strategies For Sustainability

Exploring solutions to the imminent exhaustion of internet data for AI training.As the artificial intelligence (AI) indu... Read more

Google Abandons Four-Year Effort To Remove Cookies From Chrome Browser

After four years of dedicated effort, Google has decided to abandon its plan to remove third-party cookies from its Chro... Read more

LinkedIn Embraces AI And Gamification To Drive User Engagement And Revenue

In an effort to tackle slowing revenue growth and enhance user engagement, LinkedIn is turning to artificial intelligenc... Read more