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 ornithologist


BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines

Klar, Nico, Gifary, Nizam, Ziegler, Felix P. G., Sehnke, Frank, Kaifel, Anton, Price, Eric, Ahmad, Aamir

arXiv.org Artificial Intelligence

The urgent need for renewable energy expansion, particularly wind power, is hindered by conflicts with wildlife conservation. To address this, we developed BirdRecorder, an advanced AI-based anti-collision system to protect endangered birds, especially the red kite ( Milvus milvus). Integrating robotics, telemetry, and high-performance AI algorithms, BirdRecorder aims to detect, track, and classify avian species within a range of 800 m to minimize bird-turbine collisions. BirdRecorder integrates advanced AI methods with optimized hardware and software architectures to enable real-time image processing. Leveraging Single Shot Detector (SSD) [1] for detection, combined with specialized hardware acceleration and tracking algorithms, our system achieves high detection precision while maintaining the speed necessary for real-time decision-making. By combining these components, BirdRecorder outperforms existing approaches in both accuracy and efficiency. In this paper, we summarize results on field tests and performance of the BirdRecorder system. By bridging the gap between renewable energy expansion and wildlife conservation, BirdRecorder contributes to a more sustainable coexistence of technology and nature.


Ornithologist: Towards Trustworthy "Reasoning" about Central Bank Communications

Jones, Dominic Zaun Eu

arXiv.org Artificial Intelligence

I develop Ornithologist, a weakly-supervised textual classification system and measure the hawkishness and dovishness of central bank text. Ornithologist uses ``taxonomy-guided reasoning'', guiding a large language model with human-authored decision trees. This increases the transparency and explainability of the system and makes it accessible to non-experts. It also reduces hallucination risk. Since it requires less supervision than traditional classification systems, it can more easily be applied to other problems or sources of text (e.g. news) without much modification. Ornithologist measurements of hawkishness and dovishness of RBA communication carry information about the future of the cash rate path and of market expectations.


An ornithologist, a cellist and a human rights activist: the 2022 MacArthur Fellows

NPR Technology

This year's 25 MacArthur Fellows will each receive $800,000, a "no-strings-attached award to extraordinarily talented and creative individuals as an investment in their potential," according to the MacArthur Foundation website. John D. and Catherine T. MacArthur Foundation hide caption This year's 25 MacArthur Fellows will each receive $800,000, a "no-strings-attached award to extraordinarily talented and creative individuals as an investment in their potential," according to the MacArthur Foundation website. It is perhaps the most coveted award in academia, the arts and sciences. You can't get nominated and the pool of candidates is a tightly-held secret. This year's 25 MacArthur Fellows will each receive $800,000, a "no-strings-attached award to extraordinarily talented and creative individuals as an investment in their potential," according to the MacArthur Foundation website.


How Deep Learning Tracks Bird Migration Patterns NVIDIA Blog

#artificialintelligence

Billions of birds in North America make the trek south each fall, migrating in pursuit of warmer winter temperatures. Many of these migratory birds fly under the cover of night, making it challenging for birdwatchers and ornithologists to observe them and track long-term trends. But the need to monitor avian population levels is critical. Recent research estimates that the number of birds in North America has fallen by 3 billion in the past 50 years, impacted by climate change, habitat loss, hunting and pesticides. Spring migration has declined by 14 percent in the last decade.