DeepSea provides free entry-point for shipping companies to start exploring AI benchmarking tools


DeepSea has announced that it is making a full vessel data set and DeepSea’s automatic model evaluation tool available for free to the shipping industry for the next 12 months. This is the first time that such tools have ever been made available to the public – and allows innovation, research and technical departments with strong data science capabilities to start exploring AI.

The announcement follows the publication of the winners of the Shifts Challenge 2023. The competition is an international collaboration of academic and industrial researchers, including Cambridge University, and is helping to make shipping a first-class citizen in AI research.

Overall, the Shifts Challenge received 175 submissions from institutional and academic research teams and individuals. The two areas of focus were ship power prediction and white matter multiple sclerosis lesion segmentation. The winning submission in the shipping track was made by a team from IBM Dublin, which proposed a novel approach, harnessing learnings from the wind turbine sector in order to gain new insights from the data provided. Their solution could predict vessel power under a broad set of conditions, recording a 13% performance improvement against the reference model DeepSea provided as a baseline.

The full vessel data set from the challenge will now be provided for use to researchers and technical specialists in the maritime industry, and can be accessed via Zenodo (an open-source research database operated by CERN). DeepSea intends for it to help support the development of robust vessel models across the industry – something essential in enabling the sector to cut costs and cope with environmental regulations.

Commenting on the Shifts Challenge, Dr Nikitakis, DeepSea’s AI Director, said: “We were delighted to see the diverse set of solutions that the competitors provided. We’re also pleased to be opening this AI environment up to the whole of the shipping industry. We are always trying to “fight the hype” around AI, and there is no better way than giving the public the tools to explore – and evaluate – their own AI solutions. Perhaps later down the line we will put on a similar challenge for all AI providers in the industry – we hope they’ll take us on!”

Commenting on their winning submission, Seshu Tirupathi from the IBM Dublinteam, said: “Challenges in making inferences on data with distribution shifts can be expected to gain increased importance with the exponential growth of data and real-time monitoring applications. This sort of research is extremely important, as it avoids unreliable predictions that may lead to life-threatening situations. Avenues like the Shifts Challenge provide ground truth from real-world data that is essential to develop and validate robust algorithms in the space of distribution shifts and concept drifts.”

Dr. Konstantinos Kyriakopoulos, CEO and co-founder of DeepSea, said: “Though AI is still a relative newcomer to the shipping sector, it has already proven itself as an exceptional tool for those looking to optimise fuel consumption, emissions, and industry ratings. Like any other cutting-edge research area, this technology can only develop as part of an ecosystem, and the Shifts Project is (amongst other things) designed to help catalyse and support this movement. Industrial AI is a field where BS is rife, and it’s these sort of initiatives that help the industry to know who to trust.”