antarcticocean.ai
#Antarctic Ocean AI | Artificial Intelligence for Antarctic Ocean
#Fincantieri | Polar research vessel manufacturing
#picknik.ai | Remote Robot Control | Boulder, Colorado, USA
#Australian Antarctic Program Partnership (AAPP) | Simulating amount of energy from sun that strikes Southern Ocean | Understanding of how much clouds absorb and scatter sunlight | Measuring cloud properties | Shortwave (sunlight) radiation reflection depends on height, layering and optical properties of clouds | Machine learning used to teach models how to predict amount of sunlight entering Southern Ocean | Built models based on training data
#SEA.AI | Detecting floating objects early | Using thermal and optical cameras to catch also objects escaping conventional systems such as Radar or AIS: Unsignalled crafts or other floating obstacles, e.g., containers, tree trunks, buoys, inflatables, kayaks, persons over board | System computes input from lowlight and thermal cameras, using Machine Vision technology, deep learning capabilities and proprietary database of millions of annotated marine objects | High-resolution lowlight and thermal cameras | Real-time learning of water surface patterns | Searching for anomalies | Distinguishing water from non-water | Comparing anomalies with neural network | Recognize objects by matching combination of filters | Augmented reality video stream combined with map view | Intelligent alarming based on threat level | Detecting persons in water | On-board cameras with integrated image processing | Providing digital understanding of vessel surroundings on water | SEA.AI App on smartphone or tablet
#Sea Machines | Artificial Intelligence Recognition and Identification System | Detects, tracks, classifies and geolocates objects, vessel traffic and other potential obstacles | Boston, USA
#Biral | Sensors for Antarctic Climate Change Research | Bristol Industrial & Research Associates Ltd | Unit 8 Harbour Road Trading Estate, Portishead, Bristol BS20 7BL UK
#ICEYE | Synthetic aperture radar (SAR) | Maritime monitoring
#Advanced Navigation | AI-based marine navigation systems | AI-Based underwater navigation solutions and robotics technology | Hydrography | Underwater acoustic positioning solutions | Autonomous Underwater Vehicle (AUV) | Inertial navigation systems (INS)
#Ocean Infinity | Robotic ships | Smaller uncrewed vessels | Underwater robotics
#Blue Atlas Robotics | Self-operating service robot that performs underwater surveys | Shared data platform collecting data from selected Nordic vendors of airborne and subsea drone systems | Sentinus 2 robot live-streamed high-quality underwater data during subsea surveillance operation using 5G in controller unit | Smultaneous aerial streams, enabling comprehensive surveillance solution that covered both above and below water | With minimal equipment, mission preparation becomes effortless, offering greater flexibility | Vision-lock to target for efficient mission ensuring the best quality of data | Point clouds | 3D models | Underwater assets managrment | Visual inspection outputs for vessel bottoms | In-water propeller inspections | Sea chest inspections | Inspecting bow thrusters | Visual sonar | Hyperspectral camera | Capable of capturing high-quality footage and data, even in conditions with high levels of sunlight | Sentinus ROV penetrates glare producing crystal-clear visuals
#Antarctica2030 | Uniting leaders from sport, politics, business, media, and science to champion Antarctica Southern Ocean protection | Southern Ocean Coalition (ASOC) | Pew Charitable Trusts | Oceans 5
#Avikus | Autonomous navigation solutions for vessels
#Robotics Engineering | Intelligent Sensing for Object Recognition, Manipulation and Control | Design, Development and Simulation Tools for Robotics Development | Developing Intelligent Robots - Machine Learning on Edge, Cloud and Hybrid Architectures | Advanced Motion Control Solutions for Robotics Systems | Intelligent Vision and Sensing Solutions for Autonomous Mapping and Navigation | Motion Control for Healthcare Robotics Applications: Functional Requirements, Critical Capabilities
#Howell Marine Consulting (HMC) | Blue economy planning and strategy | Offshore energy | Natural capital | Ocean climate | Fisheries management | Equitable transitions | Clients: Defra, Crown Estate, Natural England, Marine Management Organisation, UNEP, UNDP, World Bank, NERC, Welsh Government, Scottish Government, UNESCO IOC, Offshore Wind Industry Council | Delivering marine science into operational decision making
#Natural Environment Research Council | Organic polar and non-polar compounds analyses
#Ommatidia Lidar | Ocean observation | 3D Light Sensor | In-orbit characterization of large deployable reflectors (LDRs) | Channels: 128 parallel | Imaging vibrometry functionality | Target accuracy: 10µm | Measurement range: 0.5-20 m | Measurement accuracy (MPE): 20 + 6 μ/m | Angular range 30 x 360 | Vibrometry sampling frequenvy: 40 kHz | Vibrometry max in-band velocity: 15.5 mm/s | Power consumption: 45W | Battery operation time: 240 min | Interface: Ethernet | Format: CSV / VKT / STL / PLY / TXT | Dimension: 150x228x382 mm | Weight: 7,5 kg | Pointer: ~633 nm | Temperature range: 0/40 ºC | Environmental protection class: IP54 | Eye safety: Class 1M | Raw point clouds: over 1 million points | Calibration: metrology-grade with compensation of thermal and atmospheric effects | ESA
#OndoSense | Radar distance sensor | Sensor software: integrated into control system or used for independent quality monitoring | Object detection | Distance measurement | Position control | Agriculture: reliable height control of the field sprayer | Mining industry | Transport & Logistics | Shipping & Offshore | Mechanical and plant engineering | Metal and steel industry | Energy sector | Harsh industrial environments | Dust & smoke: no influence | Rain & snow: no influence | Radar frequency: 122GHz | Opening angle: ±3° | Measuring range: 0.3 – 40 m | Measuring rate: up to 100Hz | Output rate: up to 10 ms / 100 Hz | Measurement accuracy; up to ±1mm | Measurement precision: ±1mm | Communication protocol: RS485; Profinet, other interfaces via gateway | Switching output: 3x push-pull (PNP/NPN) | Analogue output: Current interface (4 – 20 mA) | Protection class: IP67
#Heliogen | AI-controlled concentrating solar thermal technology | AI, cameras, advanced computer vision software precisely aligni array of small mirrors reflecting and concentrating sunlight on receiver tower | Receiver generates heat which is transferred to thermal energy storage | Providing steam heat up to 300 °C | Cameras installed at top of tower measure color intensity of sky as reflected in mirrors | By comparing intensities as seen from multiple cameras, system calculates mirror orientation and direction of beam, for real-time hyper-accurate tracking | AI technology for continuous micro-adjustments | System automatically adapts to atmospheric conditions | WiFi connects heliostats | Direct Steam Generating Receivers (DSGR) absorb concentrated sunlight and transmit energy to pressurized water within metal tubes | Manufacturing facility in Long Beach, California
#British Antarctic Survey Artificial Intelligence (AI) Lab | Ice forecasting | Ice dynamics | Polar operations | Tracking icebergs from space | Benthic biology on seafloor | Integrating different types of data using AI | Optimising data collection processes in remote and hostile environments | Autonomous marine vehicles
#Aker Arctic Technology | Designing and Engineering reliable and efficient ships operating in ice-covered waters | Polar research vessels | Complete development process of a new ship design | Computational Fluid Dynamics (CFD) analysis (numerical analysis and algorithms to analyze and solve problems involving fluid flows) | Finite Element Method (FEM) analysis for ship structures | Ship propulsion systems | Winterization specifications and solutions
#LookOut | AI vision system | Synthesized data from charts, AIS, computer vision, and cloud fusing it into one 3D augmented reality view | Connects to existing boat display | Mountable camera system to the top of any boat | Lookout App for laptop, phone or tablet | Infrared vision | Night vision sensor | Spotting small vessels, floating debris, buoys, people in water | Blind spot detection | Backup camera | Temperature breaks, bird cluster locations, underwater structures for anglers | Camera streaming over WiFi to phones and tablets on the boat | Over-the-air (OTA) updates | Marine-grade water-proof enclosure | Integrated with satellite compass | National Marine Electronics Association (NMEA) communication standard interface | Multifunction Display (MFD) | Multi-core CPU driving augmented reality compute stack | ClearCloud service | NVIDIA RTX GPU for real-time computer vision | DockWa app | LOOKOUT Camera system combines two components: a camera and a brain | It replaces navigation light required on all boats | Infrared Sony Starvis camera for full-color night vision | 360-degree camera | Camera system uses convolutional neural network to identify and track hundreds of potential hazards from three video streams | Augmented reality view | All appears right on existing marine display such as Garmin, Raymarine, Simrad, and Furuno
#SiLC | Machine Vision solutions with FMCW LiDAR vision | FMCW at the 1550nm wavelength | Eyeonic Vision Sensor platform | Detecting vehicles and various obstacles from long distances | Honda Xcelerator Ventures | Honda Marine
#HEBI Robotics | Robot development platform | Smart robotic actuation hardware and building blocks | Streamlininh the process of developing robots | Space-rated hardware deployed for missions in space | NASA: SBIR
#National Technical University of Athens | MariNeXt deep-learning framework detecting and identifying marine pollution | Sentinel-2 imagery | Detecting marine debris and oil spills on sea surface | Automated data collection and analysis across large spatial and temporal scales | Deep learning framework | Data augmentation techniques | Multi-scale convolutional attention network | Marine Debris and Oil Spill (MADOS) dataset | cuDNN-accelerated PyTorch framework | NVIDIA RTX A5000 GPUs | NVIDIA Academic Hardware Grant Program | AI framework produced promising predictive maps | Shortcomings: unbalanced dataset, marine water and oil spills are abundant, foam and natural organic material are less represented
#Yamaha Marine | 450 hp hydrogen-powered V-8 outboard | Three 6-foot-long cylindrical-shaped hydrogen fuel tanks | H2 machine operates by using hydrogen in its combustion chambers | H2 tanks are positioned low and centrally to enhance stability | H2 tanks size demands rethinking of future boat designs, hulls specifically tailored for hydrogen storage | Hydrogen storage system adds considerable weight to vessel | Volumetric energy density of hydrogen is lower, requiring larger tanks | Partners: Roush Performance, Regulator Marine
#Securing Antarctica Environmental Future (SAEF) | Funded by Australian Research Council | Developed autonomous year-round monitoring platform to measure and analyze moss health | Artificial Intelligence of Things Platform (AIoT Platform) | NVIDIA Jetson Orin Nano | Sensors collect and analyze moss canopy and air temperature, relative humidity, soil moisture and heat flux, solar radiation, and imagery | AIoT Platform transmits only results
#Intergovernmental Negotiating Committee (INC-5) | Developing international legally binding instrument on plastic pollution | Raising awareness about the serious impacts of plastic pollution on both humans and nature | Global bans and phase-outs of the most harmful and problematic plastic products and chemicals | Global product design requirements to ensure all plastic produced is safe to reuse and recycle as part of global non-toxic circular economy
#Tampere University | Pneumatic touchpad | Soft touchpad sensing force, area and location of contact without electricity | Device utilises pneumatic channels | Can be used in environments such as MRI machines | Soft robots | Rehabilitation aids | Touchpad does not need electricity | It uses pneumatic channels embedded in the device for detection | Made entirely of soft silicone | 32 channels that adapt to touch | Precise enough to recognise handwritten letters | Recognizes multiple simultaneous touches | Ideal for use in devices such as MRI machines | If cancer tumours are found during MRI scan, pneumatic robot can take biopsy while patient is being scanned | Pneumatic device can be used in strong radiation or conditions where even small spark of electricity would cause serious hazard
#BrainChip | Akida Pico | Ultra-low power acceleration co-processor | Enabling development of uber-compact, intelligent devices | Akida2 event-based computing platform | Ultra-low-power (less than a milliwatt) neural processing unit (NPU) | AI accelerator for battery powered, compact intelligent devices (hearing aids, noise-cancelling earbuds, medical equipment) | Event-based co-processor | Intended for voice wake detection, keyword spotting, speech noise reduction, audio enhancement, presence detection, personal voice assistant, automatic doorbell, wearable AI and appliance voice interfaces | Supports power islands for minimal standby power
#Allen Institute for Artifical Intelligence | AI for the Environment | Robot planning precise action points to perform tasks accurately and reliably | Vision Language Model (VLM) controlling robot behavior | Introducing automatic synthetic data generation pipeline | Instruction-tuning VLM to robotic domains and needs | Predicting image keypoint affordances given language instructions | RGB image rendered from procedurally generated 3D scene | Computing spatial relations from camera perspective | Generating affordances by sampling points within object masks and object-surface intersections | Instruction-point pairs fine-tune language model | RoboPoint predicts 2D action points from image and instruction, which are projected into 3D using depth map | Robot navigates to these 3D targets with motion planner | Combining object and space reference data with VQA and object detection data | Leveraging spatial reasoning, object detection, and affordance prediction from diverse sources | Enabling to generalize combinatorially.| Synthetic dataset used to teach RoboPoint relational object reference and free space reference | Red and ground boxes as visual prompts to indicate reference objects | Cyan dots as visualized ground truth | NVIDIA | | Universidad Catolica San Pablo | University of Washington
#Australian Antarctic Program Partnership, University of Tasmania | Study of algal growth in Antarctic fast ice | Annual amount of carbon produced by algae living in landfast sea ice around Antarctica.calculated
#Institute for Marine and Antarctic Studies (IMAS) | Biological and physical drivers of iron and carbon cycles in Antarctic sea ice | Understanding central role of Antarctica and Southern Ocean in global climate system and implications for marine ecosystems
#Thinking Machines Lab | thinkingmachines.ai | Building artificial intelligence models and products | Competing on high end of large language models | Human-AI collaboration | Building AI that can adapt to full spectrum of human expertise | Multimodal systems that work with people collaboratively | AI models that can work across text, audio, video | AI models designed to excel in science and programming | Publishing technical blog posts, papers, program code | Mira Murati: CEO | John Schulman: Chief Scientist | Barret Zoph: CTO | Alexander Kirillov: Multimodal Research Head | John Lachman: Head of Special Projects | Alex Gartrell: Linux kernel, networking, and containerization | Andrew Tulloch: ML systems research and engineering | Brydon Eastman: Human and synthetic data, model alignment and RL | Christian Gibson: Supercomputers used in training frontier models | Devendra Chaplot: VLMs, RL, & Robotics | Ian O Connell: Infrastructure engineering | Jacob Menick: ML researcher | Joshua Gross: Products and research | Kurt Shuster: Reasoning | Kyle Luther: ML researcher | Lilian Weng: Research | Luke Metz: Research scientist and engineer | Mario Saltarelli: IT and Security leader | Myle Ott: AI researcher | Nikki Sommer: HRBP | Noah Shpak: ML Engineer, GPUs | Pia Santos: Executive Operations Leader | Randall Lin: Algorithms | Rowan Zellers: Realtime multimodal posttraining | Sam Schoenholz: Scaling, optimization | Sam Shleifer: Inference | Stephen Chen: Infrastructure engineer | Stephen Roller: Full-stack pre-training | Yinghai Lu: ML system engineer
#OpenSpace | openspace.ai | OpenSpace Spatial AI engine maps photos to plans automatically | As-built record of the building from preconstruction to handover and operation | Stay on top of progress | Verify work-in-place | Improve coordination | Reduce risk | AI automatically calculates progress of specific construction activities | Verify work completed for payment applications and better scheduling | Machine learning and computer vision to recognize, track, and quantify work-in-place | Heatmaps on floor plan | Progress Chart plots quantity installed over time | Live dashboards | Export OpenSpace Track progress data
#Institute for Advanced Computational Science at Stony Brook University in New York | Dr Heather Lynch | Professor of Ecology and Evolution | Working in Antarctica with Oceanites tracking penguin population changes along the Antarctic Peninsula | Monitoring Antarctica penguins both in the field and through remote sensing techniques such as camera traps and satellite imagery | Figuring out exactly where photographer were standing when they took photo | Developing 3D models of sites photos were taken | Using hundreds of photos collected in Antarctica every day by passengers
#Skyhawk | Wireless Vessel Monitoring System | 915 MHz RF tech | Verizon IoT, | Over-the-air updates | Wake-on-radio receiver technology | Decentralized architecture | Any Oversea hub can detect RF communications from any Oversea sensor | Communications relayed via cellular modem to Skyhawk servers.| Each sensor and hub designed to operate for years on single set of AA batteries | Oversea app and airtime subscription required
#Cerebras | AI inference and training platform | Specialized AI chips | Wafer-scale engine (WSE) | 900,000 cores deliver high levels of parallelism required to train large-scale models faster and more efficiently | On-chip memory integration provides high-bandwidth access to data | Processing speeds exceeding 2,500 tokens per second | Real-time processing capabilities for autonomous systems, vehicles, devices
#NVidia | Dexterous robot development | Manipulating objects with precision, adaptability, and efficiency | 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 development for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision
#e-con Systems | Camera solutions for NVIDIA platforms | Full HD Global Shutter Camera for Jetson AGX Orin | Jetson AGX Orin: 64GB module, 275 TOPS with power configurable 15W and 60W | Multiple 4k ultra-lowlight camera for NVIDIA Jetson AGX Orin | Global shutter | Rolling shutter | Autofocus and fixed focus | High resolution and frame rate | High dynamic range | High sensitivity in both visible and NIR regions | Superior color reproduction | MIPI and GMSL2 interfaces | Camera SDK configured to support Isaac SDK | Multi-camera support | NVIDIA Isaac GEMs ROS: GPU-accelerated packages for ROS2 application | Isaac ROS GEMs help to assess camera position with regard to its starting point | Isaac ROS GEMs empower robotic applications to maneuver and navigate through complicated environments | Installing ROS 2 requires Ubuntu 20.04 | Board cameras | USB 3.0 cameras | Autonomous mobile robots, autonomous shopping
#uWare Robotics | Autonomous underwater vehicles (AUVs)
#SubC Imaging | Integrated cameras, software, and remote solutions for deep-sea research
#Kongsberg Defence & Aerospace (KDA) | Surveillance of vessels in the Arctic Regions of Norway (NAVAREA XIX) | Investing to space industry
#Norwegian Institute of Marine Research | Arctic Sea research
#UK Marine Biological Association | Marine heat waves research
#Seakit International | MaxLimer | Uncrewed surface vessel
#Argo | Collecting information from inside the ocean using a fleet of robotic instruments that drift with the ocean currents and move up and down between the surface and a mid water level | Floats (instruments) spend almost all their life below the surface | Observing ocean data related to climate change
#Simrad | Marine Chartplotters | Autopilots | Radar | Beam sharpening technology | ZoneTrack | Halo Dangerous Target Alerts | Bird+ Mode
#Untether AI | Accelerating AI inference | PCI-Express form factor and power envelope | Over 2 PetaOps per card | Accelerator card | AI chip | Intel backef | Toronto, Canada
#Wartsila | Marine autonomy solutions
#Orca AI | FleetView for fleet operators and management | SeaPod | Artificial intelligence-based maritime navigation assistant, watchkeeper | Automated object detection and prioritization | All marine object detection | Curbing marine mammal strikes | Reducing whale mortality rates
#Field AI | Autonomous systems for machines deployed to fields | Off-road autonomy
#Persona Inc AI |Humanoids for heavy industry 3D job | Developing humanoid platform designed specifically for heavy industry jobs | Commercializing NASA robotic hand IP to deliver superior dexterity for skilled jobs | Adapting to various industry use cases via modularized Personas | Purpose-built humanoids for ship buildong | Taking robots from controlled labs into harsh environments like space and the depths of the sea
#Copernicus | EU Space Programme | Sentinel-1C and 1D satellites equipped with Galileo-enabled receivers | More accurate in-orbit positioning | Payload Automatic Identification System (AIS) | Detecting signals from ships | Supporting maritime domain awareness | Detection of unauthorised activities at sea | Sentinel-1 radar sensor makes it possible to track changes to land, oceans, and ice regardless of cloud cover or darkness | Uninterrupted radar data provision to end users worldwide | Sentinel-1 satellites are equipped with C-band Synthetic Aperture Radar (SAR) instrument seeing through clouds, rain, and smoke | Providing all-weather, day-and-night observations of Earth surface | Radar instrument has wide swath collecting data on both ascending and descending passes | Satellites are equipped with Galileo-enabled receivers | Data from Sentinel-1 satellites flows directly into Copernicus Services | Copernicus Emergency Management Service (CEMS) for flood mapping | Copernicus Maritime Surveillance (CMS) Service for oil spill and vessel detection | Copernicus Marine Service (CMEMS) for monitoring icebergs and sea ice concentration to support safe navigation | Copernicus Land Monitoring Service (CLMS) for vegetation, forest, and agricultural monitoring | European Ground Motion Service (EGMS), part of CLMS, detect and track ground motion from subsidence, landslides, volcanic activity and earthquakes | Copernicus operational information is widely accessible to public authorities, industry, researchers and service providers, who can build further applications on top of the core Copernicus products and data | Sentinel-1 is the only satellite mission in the world which provides data on a full, free and open basis | Sentinel-1 is not isolated satellite mission but part of Copernicus | Sentinel-2 will deliver high-resolution multispectral imagery | Sentinel-3 will carry a suite radiometer for sea and land surface temperature (SLSTR), a radar altimeter (SRAL) | Sentinel-5 will be equipped with Tropospheric Monitoring Instrument (TROPOMI)
#SFA Oxford | Research | Critical minerals in Artificial Intelligence
#Y.CO | Bringing together a dynamic and ever-evolving network of crews, captains, yards, clients, and thought leaders to keep excellence in yachting moving forward | Managing over 100 large yacht operations, from traditional operations to private fleets, special purpose yachts, exploration vessels and regatta racing teams | Yacht Charter | Luxury yachts | Crafting experiences | Waterdports experiences | Bringing on board specialist instructors | Moonen partnership | Moonen Martinique deal
#AGU | Southern Ocean Heat Burp in a Cooling World | Simulating several hundred years of net-negative emissions and gradual global cooling | Abrupt discharge of heat from Southern Ocean modeled | Global mean surface temperature increase of several tenths of degrees lasting for more than a century modeled | Ocean heat burp reasoned to originate from heat previously accumulated under global warming in deep Southern Ocean | Multi-centennial scale climate simulations | Question of the durability of oceanic storage of heat and carbon more urgent as ocean warming is accelerating | As atmospheric CO2 strongly decreases and atmospheric temperature declines, carbon and heat stored in the ocean start to return to the ocean surface | The majority of interior ocean waters ultimately returns to Southern Ocean surface and is reexposed to atmosphere in Southern Ocean | In Southern Ocean density layers outcrop at ocean surface, directly connecting surface to interior ocean thereby regulating oceanic exchange with atmosphere | Combined with persistent large-scale upwelling, Southern Ocean is prominent candidate for release of heat and carbon from ocean interior under reversal of atmospheric CO2 and global cooling | 40% of oceanic uptake of carbon | 80% of oceanic uptake of heat | Earth system model | Mass and energy conserving University of Victoria model UVic | Simulations of long time scales and carbon cycle feedbacks | UVic features atmospheric energy-balance model, ocean circulation and sea-ice model, land biosphere and ocean biogeochemistry with two plankton groups | Horizontal resolution: 3.6 × 1.8 | Ocean model; 19 vertical z-layers with increasing thicknesses over depths from 50m to 500m | Ocean Heat Release Causes Warm Period | Accumulated Heat Pushing up in Southern Ocean | Large-scale upwelling of deep waters in Southern Ocean keep surface temperatures comparatively cool | Southern Ocean serves as window to atmosphere, abruptly releasing heat during event and driving global surface warming and top of atmosphere energy loss, causing heat burp | Climate and Earth system models do not simulate changes in ice sheets and consequently miss the effect of freshwater input to ocean associated with ice sheet mass loss under global warming | Melt water discharge from Antarctic ice sheet triggered by global warming will have an additional, long-lasting freshening effect | Model used lacks a full response of the wind | Model also misses cloud feedbacks | Research underlines both importance of Southern Ocean in climate system and its response to changes in climate system beyond heat and carbon uptake under contemporary rising global temperatures | It is important to continue to improve process understanding of how waters return from interior Southern Ocean and what determines their properties | Interactive ice sheets needed | Observational data collection needed | Deep Argo observing waters below 2,000 m depths needed | Ack: research-unit Biogeochemical Modeling and funding by European Research Council (ERC)