The field of animal ecology has entered the era of big data and the Internet of Things (IoT). A cross-disciplinary team of experts in artificial intelligence (AI) and animal ecology are working to make more effective use of the vast amounts of data now being collected. Innovation Origins brought this interesting information to our attention in their article, “Artificial intelligence and big data can help preserve wildlife.”
A variety of AI programs are available to analyze large datasets, but they’re often general in nature and not suited to observing the exact behavior and appearance of wild animals. A team of scientists from École Polytechnique Fédérale de Lausanne (EPFL) and other universities have outlined a pioneering approach to resolve that problem and develop more accurate models by combining advances in computer vision with the expertise of ecologists. Their efforts shine a light on new perspectives on the use of AI to help preserve wildlife species.
Most organizations have limited knowledge on how AI systems make the decisions they do. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesauri construction, machine aided indexing, database management, information retrieval and explainable artificial intelligence.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
