The Importance of FAIR Data in Earth Science
for implementation. This approach delivers the same benefit when applied to contemporary organizations: an increase in data’s value as an enterprise asset. About the AuthorJans Aasman is a Ph.D. psychologist, expert in Cognitive Science and CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of AllegroGraph, the leading Semantic Graph Database. As both a scientist and CEO, Dr. Aasman continues to break ground in the areas of Artificial Intelligence and Knowledge Graphs as he works hand-in-hand with numerous Fortune 500 organizations as well as U.S. and foreign government
MOL Tests FOCUS EYE Project
recognition and recording system, and the system’s installation for demonstration testing aboard the cruise ship "Nippon Maru" operated by Mitsui O.S.K. Passenger Line.The system’s graphic recognition engine was developed by incorporating MOL’s knowledge and applying artificial intelligence (AI) deep learning technology, allowing it to recognize surrounding vessels.The system recognizes and automatically records vessels with high accuracy using a terminal equipped with a graphic processing unit (GPU) and ultrahigh-resolution cameras.The image recognition technology, which can
ROBOATS: MIT's Shape-Shifting Autonomous Boats
; which could be dozens — and differences between the two shapes.“We’ve enabled the roboats to now make and break connections with other roboats, with hopes of moving activities on the streets of Amsterdam to the water,” says Rus, director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science. “A set of boats can come together to form linear shapes as pop-up bridges, if we need to send materials or people from one side of a canal to the other. Or, we can create pop-up
Rovco Nets $12.8 Mln in 12 Months
in-house data command center allowing our customers to truly make the most of high accuracy machine learning analysis and live 3D point clouds of their subsea structures. This enables real time, data-driven, accurate decision making.”Investing in the development of real-time 3D systems and artificial intelligence for marine robotics, the company is able to deliver 3D and deep learning based solutions. By retrofitting smart cameras to any subsea vehicle Rovco effectively gives older or smaller ROVs or autonomous underwater vehicles (AUV) the ability to provide the highest quality data while connecting
ROVOP Joins ORCA Hub
ROVOP, the global subsea robotics specialist, is the latest company to join the ORCA (Offshore Robotics for Certification of Assets) Hub offshore robotics, artificial intelligence and autonomous systems development program. The ORCA Hub is a consortium of five universities – Heriot-Watt University, University of Edinburgh, University of Liverpool, University of Oxford and Imperial College London – that are working together to develop highly specialized robotics and AI technologies for the inspection, repair, maintenance and certification of offshore energy platforms and assets.The
Sonsub Hydrone-R Launched in Water
commercialization throughout 2019 and 2020.Hydrone-R, the first unit to be launched in the market, is an underwater intervention drone capable of performing light construction works as well as advanced inspections on subsea assets thanks to a series of sensors embedded onboard and proprietary Artificial Intelligence features for unmanned navigation and autonomous anomaly detection on a wide range of subsea systems.The vehicle can remain underwater uninterruptedly for 12 months, making it the first ever resident subsea drone. In this resident mode, Hydrone-R features wireless operability and can be connected
Kraken's OceanVision Moving Ahead
said it believes the project could grow as additional stakeholders, technologies and products are added to the project scope.Karl Kenny, Kraken's President & CEO said, "OceanVision is a unique business model, offering a combination of sensors, underwater robots, cloud computing and artificial intelligence. Under OceanVision, clients do not need to purchase expensive data acquisition hardware and analytics. Instead, they can lease the robotic devices to acquire the ultra-high-resolution subsea data that they need. The data captured by robots across different locations can be stored in a cloud-based
CMA CGM to Support Notilo Plus Rollout
Plus, a Marseilles-based start-up specialized in autonomous underwater solutions, in order to help them launch their industrialization.Notilo Plus develops autonomous underwater dronesFounded in 2016 and based in Marseilles and Lyon, Notilo Plus develops autonomous underwater systems featuring artificial intelligence and data enhancement capabilities. It develops “made in France” autonomous solutions targeting the fields of maritime transportation, leisure and infrastructure.Last December, Rodolphe Saadé, Chairman and Chief Executive Officer of the CMA CGM Group, presented the Jacques
New Tech for Wind Blade Inspections
having a drone or a fleet of drones that take off every day, fly around the wind turbines, do all of their inspections, and then come back and upload their data,” Paquette says. “Then the wind plant operator will come in and look through the data, which will already have been read by artificial intelligence that looks for differences in the blades from previous inspections and notes potential issues. The operator will then deploy a robotic crawler on the blade with suspected damage to get a more detailed look and plan repairs. It would be a significant advance for the industry.&rdquo
ForeCoast Software to Optimize Modus H-AUV
its clients the most operationally efficient solutions.ForeCoast Marine is an advanced mission scheduling, logistics and metocean risk management system, enabling operational strategies to be optimized throughout the lifetime of a marine project. The software will be used to develop an advanced artificial intelligence (AI)-based scheduling algorithm to enable efficient task prioritization and routing of the AUV, and to support day-to-day decision making with respect to the timing and sequencing of operations. According to JBA, this is particularly relevant when carrying out fully autonomous survey and
