Machine Learning News

(Image: FarSounder)

FarSounder Signs on NAVSEA UUV Project

said Tuesday it has been selected as a subcontractor on a research and development project led by GMATEK Inc. This project is contracted by the U.S. Navy’s Naval Sea Systems Command (NAVSEA), Program Executive Office - Unmanned and Small Combatants (PEO-USC).The research project will apply machine learning and deep-learning artificial intelligence (AI) technology to identify solutions and develop a system to mitigate and compensate for sensor degradation on board unmanned surface and undersea vehicles (USV/UUV). GMATEK will include FarSounder’s newest product the Argos 350 among the sensors

Duane Fotheringham, President, Unmanned Systems, HII

One-on-One with Duane Fotheringham, President, Unmanned Systems, HII

the autonomy must be advanced enough to accomplish the mission and overcome unforeseen challenges and changing environmental conditions with no operator input. It also must be reliable enough to operate for long periods of time without failure.”Advances in autonomy, artificial intelligence and machine learning will continue to push the boundaries of what is possible, according to Fotheringham. “By leveraging advanced GPUs to run machine learning algorithms, performing data fusion from sensors and maintaining greater situational awareness, vehicles will have the ability to adapt in real-time

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Researchers Use AI to Map Marine Environments

, to study the effects of climate change on the oceans and better enable the sustainability of human activities in fragile environments and ecosystems.Senior Lecturer Dr Philippe Blondel, from the University’s Center for Space, Atmospheric and Oceanic Science, worked on the project alongside Machine Learning expert Professor Mike Tipping from the IMI.Dr Blondel said: “There are lots of different variables that affect how sound waves are propagated in water, as some frequencies of sound can travel further than others.“If you think about the sound of an orchestra, as you move further away

(Image: Olis Robotics)

Olis Robotics Partners with Aleron Subsea

and sustainment kits. The Olis Master Controller is available at a price point far below the cost of replacing legacy controllers.“We’re leveraging technology we developed for NASA and missions to the moon to help revolutionize the subsea industry and deliver intuitive controls and machine learning pilot assistive features that keep crew and equipment safe, along with saving time and money for offshore energy operations,” remarked Olis Robotics CEO Don Pickering. “We’re seeing increased interest in our solution in these uncertain times for the oil industry.”Olis&rsquo

Image Credit: DNV GL

Are O&G Digital Twins Useful? DNV GL Moves to Find Out

key industries, highlights a digital value chain run by machines and algorithms as a prevailing trend for the oil and gas industry in the decade ahead.Solving the digital trust challengeThe research expects cloud computing, advanced simulation, virtual system testing, virtual/augmented reality and machine learning will progressively merge into full digital twins which combine data analytics, real-time and near-real-time data on installations, subsurface geology, and reservoirs."Solving the digital trust challenge will be key to the dramatic evolution that we expect to see in digital twin technology

SUNFISH in a Cave, and the Data used for SLAM (Credit Stone Aerospace)

Untethered Vehicle Tech Continues to Advance Autonomy

perhaps most obvious and a relatively direct transition from crewed vessel operations. But the second and third elements are quite sophisticated. A USV world model draws upon a three-dimensional world model, geo-referencing, image recognition, sensor fusion, and overall evaluation of this model via machine learning and artificial intelligence techniques.A USV Demands a spectrum of control and “autonomy” (Credit: Kongsberg Maritime)Kongsberg’s AUV presentation also addressed these ideas. In that case they have a similar spectrum of autonomy. It begins with mission autonomy, getting from

© Martin Valigursky / Adobe Stock

NASA Asks Gamers, Citizen Scientists to Help Map World's Corals

.As they play the game, players' actions help train NASA's Pleiades supercomputer at Ames to recognize corals from any image of the ocean floor, even those taken with less powerful instruments. The supercomputer "learns" from the coral classifications players make by hand, using machine learning techniques to classify on its own.The more people who play NeMO-NET -- available on the Apple App store and is playable on iOS devices and Mac computers, with a forthcoming release for Android systems -- the better the supercomputer's mapping abilities become. Once it has been able to accurately

Armed and ready: an Ecotone Underwater Hyperspectral Imager, or UHI, attached to an ROV (top) and stand-alone. Photo: Courtesy Ecotone

Pipeline IMR: An All-seeing Eye

regular cameras and lights or UAVs with available sensor arrays. By 2016, the UHI had evolved for pipeline IMR into SpectraPipe with analysis and archiving software understood to be faster and safer than x-ray or acoustic methods of pipeline maintenance surveying.“It’s all automated based on machine-learning principles,” says Ecotone CEO, Oddbjoern Roedsten, adding that tweaks to the equipment to 2016 have led to today’s first commercial uses. “There has been development on the data analysis side with a higher degree of automation to cut down on the time and work involved

L3 Harris UK’s C-Worker 7 working with an ROV off the UK’s south coast. Photos from L3 Harris UK.

Marine Autonomy Above & Below the Water

is straight above the ROV making it hard to track. But, these are learnings, he adds.“At this stage, we just wanted to see it work, the next stage collaborative autonomy between vehicle and the subsurface vehicle,” he says. “So, the next step is to look at increasing automation and machine learning to generate paths to get back into its enclosure, way points, etc.”The ability to work in sea states above three will also be needed, as well as a larger ROV, with a Tiger, also from Saab Seaeye, being eyed for the next trials, as part of Phase 2 of the project, scheduled for this year

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