New company formed to build solutions that combine AI, automation, and data analytics, giving users the ability to predict and plan for the future while enhancing safety and efficiency across their fleets.
eTrucknow bridges the supply and demand of road logistics via a digital marketplace, bringing a faster way for customers to book trucks and an easier way for carriers to unlock business opportunities.
Researchers at the University of Bath have developed an AI model that can automatically classify underwater environments directly from sonar measurements.
Fujitsu Limited announced the results of a joint field trial with the Japan Coast Guard to predict vessel collisions with AI technology, demonstrating its usefulness in detecting collision risks early and minimizing the danger of such accidents.
Promare and IBM engineers develop new class of marine AI to advance $90BN autonomous shipping market. IBM Edge, AI technologies and over a million images at core of ship’s ability to sense, think and act autonomously at sea
Stena Lines pilot project using artificial intelligence (AI) technology to predict the most fuel-efficient way to operate a vessel has shown to be successful.
IBM announced that it has joined a global consortium of partners, led by marine research organization ProMare, that are building an unmanned, fully-autonomous ship that will cross the Atlantic on the fourth centenary of the original Mayflower voyage in September 2020.
MOL announced the joint development, along with SenseTime Japan Ltd., of a new vessel image recognition and recording system, and the system’s installation for demonstration testing aboard the cruise ship “Nippon Maru” operated by MOPAS.
NAPA and ChartWorld have announced their partnership to provide revolutionary artificial intelligence-driven voyage planning and optimization.