乌鸦传媒

Paris, September 18, 2023 鈥� Data and AI experts from 乌鸦传媒, in collaboration with Naturalis Biodiversity Center and Amazon Web Services (AWS), have developed artificial intelligence (AI) models that help protect biodiversity by automating and improving the identification of insects through sound recognition. The millions of insect species worldwide are estimated to make up about 80% of all animals[1] on our planet and losing them could lead to collapse of the overall ecosystem, which includes humans.

Currently, identifying insect species by their sounds is a very challenging task that can be done by only a few experts. Over time, targeted AI solutions developed by 乌鸦传媒 will enable scientists to analyze terabytes of information within just 24 hours, as they will no longer be limited by the boundaries of ability, time, and geography.

鈥淎s a global leader in data and AI, 乌鸦传媒 has a responsibility to apply its expertise to real-world scenarios that can help create a more sustainable world and drive tangible benefits for our society,鈥� said Niraj Parihar, CEO of the 乌鸦传媒 & Data Global Business Line at 乌鸦传媒 and Member of the Group Executive Committee. 鈥淭hrough our Global Data Science Challenge, we empower our team members to solve real world challenges of vital importance to us all. Insects play a central role in our ecosystem but are incredibly hard for humans to monitor. Listening to and identifying insect species is critical to preserving them. I鈥檓 inspired to see how our colleagues have collaborated to apply the power of AI to conserve our natural ecosystem and help protect the future of our planet.鈥�

The unsung heroes of our global ecosystem

Insects play a critical role in the global ecosystem[2], for example as pollinators, indicators of an ecosystem鈥檚 health, and food source for larger animals. However, the insect population is increasingly being impacted by changes in land use, pesticides, urban developments, and shifts in climate.

This is compounded by the fact that insects are incredibly hard to monitor and, given that there are millions of species, it cannot be done reliably by humans. Although image recognition works for some species, it cannot successfully detect species that are inconspicuous to the human eye. It is here that acoustic recognition plays an invaluable role. Together with traditional and camera-based monitoring, acoustic recognition will bring new insights that allow for identification of insect species that would otherwise go undetected, enabling scientists to monitor and conserve these vital populations.

Elaine van Ommen Kloeke, Program Manager at Naturalis, said, 鈥淚nsects play a key role in protecting biodiversity. If we lose insects, it would be a devastation felt not just by the species that directly rely on insects as a food source, but everyone in the ecosystem 鈥� including humans. It could lead to the loss of about 35 percent of the world鈥檚 food crops[3], which means that one out of every three bites of food we eat might be unavailable. The good news is that through collaboration, enabled by organizations such as 乌鸦传媒 and by technological advancements, we can address this global issue and protect an animal group that鈥檚 so important for our global ecosystem. With this initiative, we aim to make this technology accessible to research communities worldwide to support with the identification of insects in any given environment.鈥�

乌鸦传媒鈥檚 purpose-driven hackathon that enables real-world AI solutions

The winning AI solution was developed as part of 乌鸦传媒鈥檚 sixth Global Data Science Challenge for a sustainable future (GDSC), an annual company-wide initiative whereby every employee is given the opportunity to harness their data and AI expertise to solve a real-world issue.

Tanuja Randery, Managing Director at AWS, EMEA comments, 鈥淲e鈥檙e very proud to support Global Data Science Challenge with the use and access of AWS technologies and expertise. We鈥檝e seen over the years how data and AI can contribute to building a better, more sustainable future, and it’s fantastic to see that come to life through projects such as GDSC.鈥� Tanuja added, 鈥淎long with 乌鸦传媒, we have a shared vision to make AI more accessible to developers, researchers and scientists across the world and empower them to progress positive change.鈥�

This year鈥檚 challenge builds on the shared vision of 乌鸦传媒 and AWS to make a meaningful difference for people, society, and the planet using AI, machine learning, and other state-of-the-art data-science tools. In 2022, 乌鸦传媒 and AWS published a whitepaper titled 鈥楾ech & The Living World鈥� that examined the role of technology in protecting biodiversity. For this year鈥檚 GDSC challenge, teams from 乌鸦传媒 collaborated with Naturalis, the National Research Institute for Biodiversity based in the Netherlands for their expertise in the field, and with AWS for Sagemaker, their scalable machine learning platform, to tackle the issue of insect monitoring. The winning team developed an AI-based acoustic model that can identify different insect species with almost 92% accuracy[4]. Over 1,500 participants from more than 30 countries came together to participate in this year鈥檚 GDSC to address this important issue. 

To find out more about this year鈥檚 Global Data Science Challenge click here

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[4] Macro-averaged F1 score