#Antarctic Ocean Development Meta
#Antarctic Ocean | Southern ocean | Encircles Antarctica | Waters south of 60° S latitude | Covers ca. 21.96 million square kilometers | The fourth largest ocean basin | Antarctic Circumpolar Current (AAC) flows through it | ACC significantly influences global ocean circulation by connecting Atlantic, Indian, and Pacific Oceans | Average depth of approximately 3,270 meters (10,728 feet) | Maximum depth of 7,434 meters (24,390 feet) at Factorian Deep
#Thwaites Glacier
#Accelerating ice loss
#Marine sedimentary record analysis
#Marine geophysical surveys
#Glaciomarine sediment deposits
#Ice-shelf thinning
#Circumpolar Deep Water
#Pine Island Glacier
#Numerical simulations
#West Antarctic Ice Sheet (WAIS) melting
#Amundsen Sea Embayment
#Airborne radar and satellite-derived observations
#Marine sediment cores
#Relative sea-level reconstruction
#Bathymetric map
#Ocean currents
#Sedimentary facies
#Grounding zone of Thwaites Glacier retreated
#Radiocarbon ages on calcareous microfossils
#Magnetic susceptibility data
#Remote sensing dataset
#Unpinning of the Thwaites Glacier Tongue (TGT)
#Climate-modeling
#Data-constrained reconstructions
#Computed tomography (CT) scans
#MATLAB package SedCT
#CILAS 1190 laser particle size analyzer
#Microscope
#ExpertShape software
#Automated powder diffractometer system Rigaku MiniFlex
#Digital Twin of Antarctic Ocean
#1550nm LiDAR | Advantages: safety, range, and performance in various environmental conditions | Enhanced Eye Safety: absorbed more efficiently by cornea and lens of eye, preventing light from reaching sensitive retina | Longer Detection Range | Improved Performance in Adverse Weather Conditions such as as fog, rain, or dust | Reduced Interference from Sunlight and Other Light Sources | More expensive due to complexity and lower production volumes of their components
#Cryosphere
#Humboldt Cable project | Initiated by Chilean and Singaporean companies | Aiming to link Oceania, South America, and Antarctica | Reducing reliance on satellite internet
#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
#Dexterous robot | Manipulate objects with precision, adaptability, and efficiency | Dexterity involves fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity is crucial in: manufacturing, healthcare, logistics | Dexterity enables automation in tasks that traditionally require human-like precision
#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