Tag: AI

Artificial Intelligence, Big Data, Climate change, Coastal, Conservation, data science, diving, Ecosystems, fish, fisheries, Global Wetlands Project, Oceans and estuaries, Our people, reefs, research, seagrass, Uncategorized

ARTIFICIAL INTELLIGENCE IS REVOLUTIONISING MARINE MONITORING

by Australian Rivers InstituteLeave a Comment on ARTIFICIAL INTELLIGENCE IS REVOLUTIONISING MARINE MONITORING
ARTIFICIAL INTELLIGENCE IS REVOLUTIONISING MARINE MONITORING

"What an exciting time to be a marine scientist! Artificial intelligence (AI) is revolutionising the way we monitor coastal seas."

Artificial Intelligence, Coastal, Conservation, diver, diving, Ecosystems, fish, fisheries, Global Wetlands Project, Oceans and estuaries, Our people, research, seagrass, Uncategorized

IS THE SEAGRASS GETTING ENOUGH LIGHT? ARTIFICIAL INTELLIGENCE CAN TELL US

by Australian Rivers InstituteLeave a Comment on IS THE SEAGRASS GETTING ENOUGH LIGHT? ARTIFICIAL INTELLIGENCE CAN TELL US
IS THE SEAGRASS GETTING ENOUGH LIGHT? ARTIFICIAL INTELLIGENCE CAN TELL US

"Seagrasses are flowering plants that live submerged in salty water and perform vital ecosystem services that help us and the food-webs that rely on them. For example, seagrasses capture and store more atmospheric carbon (per unit area) than many terrestrial plants, they act as nursery areas for important fishery species, and provide coastal protection against things like erosion and storm surges," Dr Ryan Pearson.

Artificial Intelligence, Big Data, Coastal, Conservation, data science, diver, diving, ecology, Ecosystems, fish, fisheries, Our people, PhD, reefs, research, Uncategorized, womeninstem

Deep Learning For Ecological Monitoring: Performance In Novel Habitats And Benefits Of varied Training Data

by Australian Rivers InstituteLeave a Comment on Deep Learning For Ecological Monitoring: Performance In Novel Habitats And Benefits Of varied Training Data
Deep Learning For Ecological Monitoring: Performance In Novel Habitats And Benefits Of varied Training Data

By PhD candidate Ellen Ditria, Reading Time: 452 words, about 2 minutes. Fish IDing Sample. Photo: Global Wetlands Project. Deep learning has fast become recognised as a powerful data processing tool for ecologists faced with vast amounts of image-based data. The ability of deep learning to accurately detect target species in videos and images unlocks [...]

Artificial Intelligence, Big Data, Coastal, Conservation, data science, Ecosystems, fish, fisheries, great barrier reef, Our people, reefs, research, Uncategorized

Integrating Artificial Intelligence and Citizen Science can Supercharge Ecological Monitoring

by Australian Rivers InstituteLeave a Comment on Integrating Artificial Intelligence and Citizen Science can Supercharge Ecological Monitoring
Integrating Artificial Intelligence and Citizen Science can Supercharge Ecological Monitoring

By Dr. Eva McClure Read Time: 550 words, about 3 minutes. People often imagine the future of technology, and science fiction has depicted many dystopian futures where artificial intelligence (AI) has taken over human civilisation. While AI surpassing human cognition is still in the realms of science fiction, AI technology and software with the capacity [...]

Artificial Intelligence, Big Data, Climate change, Coastal, Conservation, data science, ecology, Ecosystems, fisheries, International, Our people, PhD, research, Society

Data science: The new language of ecologists

by Australian Rivers InstituteLeave a Comment on Data science: The new language of ecologists
Data science: The new language of ecologists

By PhD candidate Sebastian Lopez-Marcano  Read Time: 416 words about 3 minutes. Data creates magic. In ecology, data is necessary to make targeted management decisions. New tools (i.e. deep learning / computer vision) are allowing data to be processed at vast rates which is making data more accessible and useful. However, converting raw data into meaningful insights for ecological research can be challenging.  Data nodes. Photo: Akamai. Through the years, ecologists have become familiar [...]