Machine Learning News

NotiloPlus’ Seasam AUV has been operating around the world. Photo from NotiloPlus.

Subsea Tech's 'March of Miniaturization'

in at 9kg and is the missing link between a small and compact but piloted ROV and bigger ROVs packed with kit that cost a lot. Nicolas Gambini, the Marseille-based company’s co-founder and CEO, says NotiloPlus is enabling a small vehicle with a lot of smarts through computing power. “Machine learning and software allows you to do positioning and sensing,” he says. “For positioning, you need to use lots of hardware, but we wanted this to be as cheap as possible. So, for less than the price of one high-end positioning sensor we have a system that uses cheaper sensors but then fuses

Technology Outlook 2030 (stills from video). Image: DNV GL

10 Tech Trends to Impact Shipping Industry

and transmission will increasingly become the domain of algorithms rather than people.The next ten years will also be defined as an era of precision, particularly in healthcare, food, and materials science.  Agriculture and aquaculture will look toward robotics in combination with IoT-based and machine learning technologies to optimize crops and seafood at reduced cost.  Additionally, increasingly precise sensor data will help the food industry meet expectations from consumers for insight into the entire value chain for individual products.Traditional business models will be disrupted. Space,

(Image: FutureOn)

Subsea Digital Alliance Launched

workflows using Orcaflex integrated with FieldTwin.WINS - Operations. Delivering wireless systems for operators to retrofit live downhole data to enable a true digitalization of the field for optimized production and recovery.Digital Energy - All phases – A comprehensive suite of AI and machine learning algorithms that can be integrated with any data set to support predictive analytics and process improvements.FutureOn will also present the Subsea Digital Alliance in partnership with Mcdermott and Digital Energy on the Microsoft Azure booth at ADIPEC

Photo: EOMAP

EOMAP Wins Funding for Next-Gen Satellite-Derived Bathymetry

technologies. Their big benefits are their higher speeds and lower energy consumption compared to normal processors. However, the optimal interaction of FPGA and CPU processing requires deep knowledge of scientific programming.“By combining FPGAs, physics-based data analytics and modern machine learning procedures we are confident we can slash the processing time for SDB by 95%,” said Dr Thomas Heege, CEO of EOMAP and one of the early inventors of SDB technologies. “We believe that this R&D activity will make possible higher-quality data processing and continuous updating, and

The Olis Master Controller provides both remote and local ROV operation in a user-friendly configuration that increases task efficiencies, according to its manufacturer. (Image: Olis Robotics)

Olis Robotics Partners with Forum Energy Technologies

software company said.The Olis Master Controller (OMC) provides both remote and local ROV operation in a user-friendly configuration that increases task efficiencies, according to its manufacturer.Equipped with the Olis Core Operating System that is designed to incorporate machine perception and machine learning capabilities, the OMC is designed to decrease training needs and minimizing pilot burden.The technology has beeen put to use by customers operating subsea vehicles in the North Sea and has been tested in the Gulf of Mexico and off the Brazilian coast.“The Olis Master Controller unlocks

Kraken’s KATFISH high speed Synthetic Aperture Sonar towfish will be used to acquire ultra-high definition seabed images and bathymetry during the OceanVision project. (Photo: Kraken Robotics Inc.)

Kraken Launches OceanVision Project

;OceanVision will result in an end-to-end digitalization solution offering advanced sensors, robots and data analytics as a turnkey service for imaging and mapping of the seafloor as well as seabed assets and infrastructure. Today, high fidelity data is an absolute requirement for coherent input to machine learning algorithms – otherwise it’s garbage in, garbage out. We are uniquely positioned in the underwater industry as Kraken will build, own and operate the sensor-laden drones; Kraken (and partners) will run the missions; and Kraken (and partners) will analyze the data for our customers

(Photo: Rovco)

Rovco Nets $12.8 Mln in 12 Months

remotely operated underwater vehicle (ROV) inspections and hydrographic surveys primarily to offshore wind farms and other tier 1 service companies in the UK and Asia markets.The organization also introduced its time-saving and automation technology to the global oil and gas industry, showcasing its machine learning and computer vision systems to several oil majors.Brian Allen, CEO of Rovco, said, “We have dedicated and invested a huge amount of time and effort into developing innovative technology solutions for our clients. The majority of the projects have been for offshore wind farms, where we

Photo: Oceaneering International

MTR100: #4 Martin McDonald , SVP, Oceaneering

, station keeping, manipulator tasks, sensors, intervention tooling, and system diagnostics, which leads to improved performance and efficiency gains. Continued software and control systems development are key components to enable subsea residency and autonomous interventions.”But he noted that machine learning and machine vision are important, too. “We have been working on automated operations, such as auto docking, where the ROV pilot can direct the ROV to move autonomously to a docking point by moving a cursor on the screen, without any intervention on the joystick. It is the machine vision

(Photo: Andrew Edwards, Kraken Robotics)

Kraken's OceanVision Moving Ahead

to leverage our collective expertise, we can transform Canada into a global hub for collaborative cross-sectoral ocean innovation.”The OceanVision project is based on several enabling technologies, including unmanned maritime vehicles, advanced sensors, robotics, autonomous systems, big data machine learning and predictive analytics. Its target end result is an end-to-end digitalization solution offering advanced sensors, robots and data analytics as a turnkey service solution for seafloor imaging and mapping. Rapid high-throughput data analytics will make it possible to significantly reduce the

EOMAP showcased its contribution to the world-first 3D habitat map of the Great Barrier Reef (GBR) at the International Forum on Satellite-Derived Bathymetry, SDB Day 2019 in Australia.

Making the Great Barrier Reef’s 3D Habitat Map

across the GBR. The wave energy parameter in turn informs all reef habitat classification and predicted coral types.The SSR data provides marine ecologists with additional, important information, when revealing the theoretical seafloor colour for the final habitat classification. Recent advances in machine learning and semi-automated classification then enable the researchers to efficiently and accurately process and classify all the reefs of the GBR.  “The importance of the outcomes from this project cannot be overestimated,” adds Dr. Thomas Heege, CEO of EOMAP.  “As an example

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