Neural Networks News

The goal of engineering analysis is to use models of the real world to simulate and predict the performance of a design with confidence, explore design modifications, and inform downstream stakeholders—the owners, builders, operators, and passengers—with knowledge that the design works as intended before it is built. To do so, we need models that characterize the physical world. That is easier said than done, but it underpins much of what we do as engineers. This is precisely…

Charles River Analytics won a $1.5 million follow-on contract from the Defense Advanced Research Projects Agency (DARPA) to develop a multi-sensor fusion module that incorporates deep learning to autonomously and accurately detect whales and other aquatic mammals.To protect marine mammals from collisions and sonar exposure, sailors must keep a vigilant lookout. Operators of remotely operated vehicles must also stay alert, and uncrewed surface vehicles’ (USVs) currently limited and narrow video feeds create risk, too.

At CMRE, it’s not just about the science. It’s about building trust and confidence in resilient systems. An interview with Dr. Catherine Warner, Director, NATO Center for Maritime Research and Experimentation, La Spezia, ItalyTell us a little about yourself and CMRE. What does CMRE do, and how do you see your mission evolving?I came here from the Pentagon, where I was the science advisor for the director of operational test and evaluation. My experience has been working with operators on systems that they’re getting ready to field.

Wave-generated power could be considered the Rodney Dangerfield of offshore renewable energy sources; it gets no respect. There have been a number of high-profile, expensive failures that have conspired to give the sector a poor reputation despite a number of engineering advances. A new entrant is SurfWEC offering a patented “surf-making” Wave Energy Converter which has been in development since 2007. Its developers promise it will stand out from the field and perform where others have failed. How?

Remi Eriksen, Group President and CEO of DNV GL, has been on the job for nearly three years, taking over at arguably one of the more challenging and pivotal times in maritime history. We met with Eriksen recently in Athens, Greece, for his insights on the markets and DNV GL’s position going forward.While Remi Eriksen’s tenure at the top of DNV GL has coincided almost perfectly with one of the maritime industry’s deepest and longest slumps, he said that there is the proverbial light at the end of the tunnel, with a small pick up in shipbuilding year-on-year since 2016.

To further enhance its research capabilities Eco Marine Power announced today that it will begin using the Neural Network Console provided by Sony Network Communications Inc., as part of a strategy to incorporate Artificial Intelligence (AI) into various ongoing ship related technology projects including the further development of the patented Aquarius MRE (Marine Renewable Energy) and EnergySail. The Neural Network Console is an integrated development environment using deep learning for AI creation and has been used in deep learning applied technology development within Sony since 2015. Various functions are included such as recognition technology and a full-fledged GUI (graphical user interface) and these allow for deep learning programs to be developed.

Container terminal operator Grup TCB has selected process automation and engineering specialist Orbita Ingenieria to automate the truck gates at its flagship facility, TCB - Terminal de Contenidors de Barcelona. The contract will see Orbita supply its GateSuite optical character recognition (OCR) solution to automate 10 new entry and exit truck lanes being built as part of a major expansion program at the leading Spanish container terminal. Now underway, and due for completion this November…

(All information is current as of July 30, 2004. A1(D16) - Shipboard Routing Assistance – Decision Making Support for the Operation of Container Ships in Heavy Seas by Hans G. B1(D40) - Development and Investigation of the Ballast-Free Ship Concept, by Miltiadis Kotinis, Michael G. A2(D26) - Criteria for Parametric Roll of Large Containerships in Longitudinal Seas by Y.S. Shin, V.L. Belenky, J.R. Paulling, K.M. Weems, W.M. B2(D39) - Computational Fluid Dynamics Study of the Effectiveness of Flow-Through Ballast Exchange by Christopher P. Kent, Michael G. B3(D13) - Compressed Natural Gas Carrier Development – The Knutsen PNG Concept by Sverre Valsgård, Kim J. A5(D42) - U.S. Coast Guard Cutter Maneuverability by R. Sheinberg, P. Minnick, J.

Machinery plant maintenance represents a major expense for ship operators. In addition to normal maintenance expenditures, unexpected breakdowns have a significant cost impact. Recognizing the importance of preventing equipment failures, companies continue to adopt automation for machinery monitoring at a rapid pace. Continual improvements in the price/performance ratio of automation systems have also fueled their increased use in shipboard machinery plant monitoring. As a result, more ships with automated machinery plants exist today than ever before. However, just as a typical Internet search can easily create "information overload", so too can process automation create a "data overload" situation for the engineering crews responsible for equipment operation and maintenance.