Maritime Jobs
Friday, November 8, 2024

Machine Learning News

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Tip #59 – AI to Maritime Trainers: "Watch Your Back …"

scenarios until the trainee demonstrates proficiency, ensuring a consistent level of competency across all trainees. All, by the way, in the native language of the trainee.This highlights a point that speaks to the heart of the potential for AI to replace trainers. AI technologies, particularly machine learning algorithms, can continuously adapt the training they deliver based on real-time performance data from the trainee - whether that data is gathered during training or on the job. This level of training customization for each individual will easily exceed what is feasible in human-led sessions

(Image: TCarta Marine)

TCarta Plans Bathymetric Mapping Workshop for Jamaica

to the SDB Toolbox in a 2022 training session. The Toolbox, which was developed by TCarta with funding from the National Science Foundation, contains a pre-processing tool to allocate calibration and validation in situ source data, two algorithm workflows to derive water depth measurements using Machine Learning and empirical regression, and a statistics estimation tool for quality assurance of derived water depth measurements.“NLA Jamaica is eager to map the nation’s waters and contribute the data set to Seabed 2030 in time to be included in the 2024 published data,” states Diego

Tonia Luykx (Photo: Xeneta)

Xeneta Appoints Luykx as Chief Revenue Officer

the most turbulent times in living memory as the Covid-19 pandemic plunged global supply chains into chaos and more recently through drought in the Panama Canal and conflict in the Red Sea impacting the Suez Canal.Luykx believes the industry needs a new way of working – and that data and machine learning hold the key.She said, “Disruption and innovation is my passion. Back when I joined Google, Microsoft was the status quo on office productivity and when you mentioned ‘the cloud’, people looked up into the sky and wondered what you were talking about.“I have always been

Juha Kytölä, Director of R&D and Engineering, Wärtsilä. Image courtesy Wärtsilä

Interview: Juha Kytölä, Director of R&D and Engineering, Wärtsilä

are ongoing, with all focus on supporting the industry to take the pollution down to zero by 2050.Can you put in perspective how AI with all of its promise and peril will impact the work that you do within the walls of Wärtsilä research and development center?Artificial intelligence and machine learning are indeed, in some segments, a powerful way to further improve operations. The engines being produced today for ships have very powerful automation and control functionality built-in, computers and sensors monitoring the operation continuously.And we are also controlling functions. These engines

Eleni Polychronopoulou (Photo: METIS)

METIS Names Polychronopoulou CEO

president of HEMEXPO, vice chair at Sea Europe, and a senior executive at EPE and ERMA FIRST.METIS aims to be a player in the maritime industry’s ongoing digital transformation, specializing in data acquisition, real-time performance monitoring and intelligent analytics based on advanced machine learning and AI techniques

Todd Borkey (Photo: HII)

HII Names Borkey Chief Technology Officer

the nation’s trusted producer of complex warships, we manage over $1 billion of research, development, test and evaluation work annually. We are ready to support the coming decade with market leading positions in live, virtual, constructive simulation and training; artificial intelligence and machine learning; big data, C5ISR; cyber and electronic warfare; autonomy; and nuclear services. These technologies will change the speed of warfare and we are working hard to insure that our military holds the advantage with them.”Prior to joining HII, Borkey served as chief technology officer at Alion

Todd Sundsted (Photo: Nautilus Labs)

Nautilus Labs Hires Sundsted as CTO

the ocean supply chain, announced the designation of Todd Sundsted as Chief Technology Officer (CTO).In his new role, Todd Sundsted, who is based in New York, will lead product development, engineering, and data science, including the enhancement of Nautilus’s AI capabilities and best-in-class machine learning models. Prior to joining Nautilus Labs, Sundsted was CTO at Odeko, which builds smart mobile ordering and supply chain management software for coffee shops and cafés, and helmed their Application Development, Infrastructure, and IT efforts. He also held leadership positions at SumAll

Image courtesy SAYFR

OPINION: A New Approach to Maritime Safety is Needed

validity is the ultimate validity measurement, and necessarily incorporates all other validity factors.Reduction in the frequency of serious accidentsAlso, it’s not only the psychometric instruments that rely on data. The use of digitalization, the internet of things (IoT), sensor data, machine learning, and big data has picked up in recent years. The idea is that those with the most data can create the best analytics and forecasts. With the use of more quality data, risk assessments and worst-case scenario simulations provide reliable predictions and identify effective interventions to prevent

Earth Science Analytics announced the appointment of Tatiana Moguchaya as its new CEO.

Moguchaya Named CEO of Earth Science Analytics

Seismic data, analysis and machine learning company, Earth Science Analytics announced the appointment of Tatiana Moguchaya as its new CEO.Moguchaya has more than 15 years’ experience in both the technology and energy sectors. Her appointment marks an expansion from Earth Science Analytics’ traditional core oil and gas exploration and production market into the wider business of new energy.Prior to joining Earth Science Analytics, Moguchaya worked at the Norwegian unicorn start-up, Cognite, where she was responsible for customer success and research and development. With an MSc in Computer

© metamorworks/AdobeStock

Training Tips for Ships - Tip #20: Training in the Age of Data

expose in the effort to build a robust and granular dataset for future data mining. It takes years to build these datasets, so the time to begin is now.Once we have a sufficient initial data set, how do we mine it for insights? The most powerful technique is a form of artificial intelligence called machine learning. This may sound difficult or complex, and in some sense it is. But never fear. There are tools available that make it relatively easy to derive insights from big data. We do not need to be experts. The next edition of Training Tips for Ships will look at some of the insights we can hope to gain

Andrew Keefer (Photo: Greensea)

Greensea Hires Keefer as Senior Robotics Engineer

industry, has hired Andrew Keefer as Senior Robotics Engineer to advance navigation and autonomy technologies. He will be based in Greensea’s Plymouth, Mass. office where he will work in the OPENSEA Core Technologies group.Keefer comes to Greensea from Raytheon where he was Deputy of Undersea Machine Learning IRAD. He has a bachelor’s degree from University of Rhode Island in Physics and Physical Oceanography and over a decade of experience building and deploying autonomous systems including several years at Hydroid and Teledyne Benthos.Shay Osler, Chief Engineer, said he is pleased to be expanding

Peter Behrendt (Photo: BMT)

BMT Names Behrendt Global Strategy and Innovation Director

the epicenter of the world’s maritime technology revolution, BMT is recognized as the ‘tech behind the tech’. Having launched several exciting innovations for Maritime including TUFLOW, REMBRANDT, SARIS, BMT DEEP, MATE, several Digital Data Transformation platforms and proprietary machine learning risk modelling applications. In addition, through the pursuit of new venture opportunities BMT will seek to build on its global brand presence and cultivate growth and value in its emerging portfolios,” Behrendt concluded

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

Terry Makewell  (Photo: UKHO)

UK Hydrographic Office Appoints Makewell CTO

and gained an MBA (Entrepreneurship) in 2006.   One of Makewell's first engagements at the UKHO was to support its data science experts who presented at the Government Digital Service’s ‘Sprint 18’ conference on May 10th. Here they demonstrated how the UKHO is using machine learning to exploit satellite imagery in order to help protect the marine environment and promote global maritime trade.  

Dr. Jeremy Dillon (Photo: Kraken)

Kraken Appoints Dillon as Chief Scientist

profiler that is used for measuring turbulence and sediment transport in the ocean bottom boundary layer.Dr. Dillon continues to have strong interests in acoustics, synthetic aperture imaging, GPU-accelerated computing, underwater navigation and vehicle control systems. His upcoming work will apply machine learning to further improve seabed imagery and to automatically recognize targets and other objects of interest on the seabed

Wärtsilä acquires Transas

marine navigation solutions that include complete bridge systems, digital solutions and electronic charts. The company is also a leader in professional training and simulation services, ship traffic control, as well as monitoring, and decision-support tools. Transas leverages the latest advances in machine learning to create a unified cloud-based platform for managing operations across the entire marine ecosystem.  The company has 22 regional offices worldwide and a distribution network that spans 120 countries. Its workforce of approximately 1000 employees includes a large and competent team of

The Kognifai digital platform is a set of tools built on modern Cloud technology providing access to KONGSBERG and third-party simulation solutions. (Image: Kongsberg)

Maritime's Digital Transformation & Simulation-based Training

level, the advantage of Kognifai is in having access to diverse applications on a single platform: this has the added benefit of enabling data sharing between diverse systems.As anexample, KONGSBERG’s EmPower conditionmonitoring system combines information from sensors on a wind farm with a machine-learning algorithm that can predict a turbine failure up to ten months in advance. By adding this algorithm to Kognifai, we were able to provide the same service for our maritime customers that wanted to move from calendar-based maintenance to predictive maintenance on their rotating machinery:

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