oceanography.dev

#Oceanography Development Meta

#Artificial Intelligence

#Global Change MIT

#Phyto plankton

#Biological Carbon Pump

#Bigelow Laboratory For Ocean Sciences In Maine

#Bermuda Atlantic Time Series Study

#Redfield Ratio

#University Of Washington

#High Powered Optical lnstruments On Floats

#University Of Technology Sydney In Australia

#Mucosphere

#Tara Oceans

#Plankton Oxygen Production

#Autonomous Glider Drone

#Detecting Oxygen And Fluorescence

#Data Transmission

#Position Recording

#Drifting Sediment Traps

#Drifting Buyos

#Current Meters

#Acoustic Doppler Profiler

#Sound Signals

#Biomass Measuring

#Temperature Profile Measuring

#Geophysical Exploration

#Rogue Wave Formation

#Deep Sea Archeology

#Bioligical Oceanography

#Archeoligical Oceanography

#Operational Oceanography

#Conservation Oceanography

#Vulnerable Marine Ecosystem (VME) | One nautical mile in radius | Hub of biodiversity | Made up of organisms especially vulnerable to bottom-fishing gear | Refuge for life forms stressed by rapidly warming ocean

#Diatoms | Bacillariophyceae | Silica-based cell walls (frustules) | Form base for many aquatic food webs | Impacti carbon cycling in oceans | Convert carbon dioxide and sunlight into organic carbon and oxygen | Generating 20-50% planet oxygen

#Oceanographic instrumentation

#Meteorological sensor

#Positioning system

#Oceanography sensor

#Hydrographic sonar

#Shipboard instrumentation

#ROS 2 | The second version of the Robot Operating System | Communication, compatibility with other operating systems | Authentication and encryption mechanisms | Works natively on Linux, Windows, and macOS | Fast RTPS based on DDS (Data Distribution Service) | Programming languages: C++, Python, Rust

#Agentic AI | Artificial intelligence systems with a degree of autonomy, enabling them to make decisions, take actions, and learn from experiences to achieve specific goals, often with minimal human intervention | Agentic AI systems are designed to operate independently, unlike traditional AI models that rely on predefined instructions or prompts | Reinforcement learning (RL) | Deep neural network (DNN) | Multi-agent system (MAS) | Goal-setting algorithm | Adaptive learning algorithm | Agentic agents focus on autonomy and real-time decision-making in complex scenarios | Ability to determine intent and outcome of processes | Planning and adapting to changes | Ability to self-refine and update instructions without outside intervention | Full autonomy requires creativity and ability to anticipate changing needs before they occur proactively | Agentic AI benefits Industry 4.0 facilities monitoring machinery in real time, predicting failures, scheduling maintenance, reducing downtime, and optimizing asset availability, enabling continuous process optimization, minimizing waste, and enhancing operational efficiency