Machine Learning News

Scientists Arjuna Balasuriya (bottom right) and Camille Monnier (top right) along with staff from Teledyne Marine wait after deploying AutoTRap Onboard™ for an ANTX mine hunting test. Source: Teledyne

AUV Case Study: Marine Roboticists are Turning AUV Sight into Perception

, they needed to automatically detect and recognize objects of interest — anything from mines to airplane black boxes to pipelines — so they could do things like decide to reroute for a closer inspection.Balasuriya recognized that this was a sub-problem from the classic domain of machine learning and computer vision, where Charles River Analytics possessed experience from work on numerous U.S. military and government contracts. When Teledyne expressed interest in finding solutions to this problem in 2015, Balasuriya thought to himself: why not us?Now, Charles River is releasing a commercial

Next-Gen AI Capability for Teledyne Gavia AUVs

confidence in AI systems.”AutoTRap Onboard has demonstrated excellent detection rates and false positive rates; identifying truncated conical objects on a rocky volcanic seafloor with a 90% probability of detection. AutoTRap Onboard includes:Target Detector and Target Classifier – Novel machine learning algorithms that process sonar images to detect, classify, and localize targets of interest.Target Library – Collection of trained targets. The Target Detector searches for these targets in the sonar image.Read an "AUV Case Study" here:

The Terradepth leapfrog concept. Graphic from Terradepth.

Charting Terradepth's Big Ambitions in the Unmanned Vehicle Space

;It’s a big challenge. “Submarines have been able to go to bottom of the ocean and collect whatever data we want but we can’t do it at scale because it’s been impossible to build autonomous systems that can do that. It’s only in last five years that technology i.e. machine learning and artificial intelligence has come to the point where it’s even feasible to put a massive fleet of autonomous deepsea submersibles out there and have them map the ocean.”The other side of the coin is cost. The only subs with autonomy are the likes of Boeing’s Echo Voyager

(Photo: NOAA)

NOAA Grants Support Small Business Tech Development

,796, for an aircraft detection system with 360 camera and microphone arraySkyward, Ltd., Dayton, Ohio, $149,999, for a processing, exploitation and dissemination system for rapid response to disastersNext-generation observation and modeling systemsKraenion Labs LLC, Los Gatos, Calif., $149,996, for machine learning for risk assessment using satellite and aerial imageryAerodyne Research, Inc., Billerica, Mass., $150,000, for automated monitoring of volatile organic chemicals with a compact gas chromatography-proton transfer reaction mass spectrometerINNOVIM LLC, Greenbelt, Md., $91,520, for a new machine-learnin

Sam Allen (Photo: Kraken)

Kraken Adds Offshore Exec Sam Allen as Advisor

,” Allen said. “I expect the utilization of autonomous systems and robotics in the offshore energy market to grow significantly over the coming years as companies invest in new projects and extending the life cycle of legacy assets through the use of high-quality data acquisition sensors, machine learning  and predictive analytics. With a strong portfolio of ultra-high definition imaging data acquisition and analytic tools, Kraken has the potential to build a significant recurring revenue business.&rdquo

Stevie, the Taurob robot, at Shetland Gas Plant. Photo from Total.

INTERVIEW: Kris Kydd, Head of Robotics, at Total E&P UK; Total’s “Stevie the Robot”

mean keeping the robot on site. What is essential, however, is learning to make the best use of it; recognizing the changes to operations that robotics imply and updating operating philosophies accordingly.Has anything changed in that period that would have been of benefit to the teams back in 2013?Machine learning has taken off in a big way since Total launched the ARGOS challenge.  If machine learning had been as prevalent then as it is now, then we would have included it from the beginning. If we’d had a digital architecture to interface with the robot, then we also could have tested the

(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

© Alex/AdobeStock

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

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