ΑΙhub.org
 

AIhub launches focus series on life below water


by
07 April 2021



share this:

life below water badge
As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the next topic in this series: life below water. Posts on this topic will be featured on our website throughout April.

AIhub focus issue on life below water

Life below water

The aim of this UN SDG is to: “Conserve and sustainably use the oceans, seas and marine resources for sustainable development.” This includes topics such as reducing marine pollution, protecting and restoring ecosystems, reducing ocean acidification, and sustainable fishing.

In our issue, among other things, we’ll be reporting on research which uses convolutional neural networks to identify floating marine litter from aerial images. We’ll also be bringing you updates from the progress of the Mayflower autonomous ship that is due to launch on 19 April.

You will be able to find all the articles related to this issue as we publish them at this link.

About the UN Sustainable Development Goals

The Sustainable Development Goals (SDGs) are a collection of 17 interlinked goals designed to be a “blueprint to achieve a better and more sustainable future for all”. The SDGs were set in 2015 by the United Nations General Assembly and are intended to be achieved by the year 2030.

Would you like to contribute?

There is still time to contribute to this focus series. Just send us an email and we’d be happy to help you shape a blog post or set up an interview. Also, watch this space as we are soon to announce the next SDG we plan to cover, with content for that being published from May onwards.




tags: ,


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Causal models for decision systems: an interview with Matteo Ceriscioli

  21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence