Pokemon has been the growing up partner of every 90s kid. In Pokemon, there was a device which when captures a pokemon it told the name and the corresponding details. That gadget has been fascinating our childhoods and every one of us wanted that gadget. Once again Science fiction to reality researchers has developed a programme that can detect microscopic marine organisms and can give specie level details of the same. So basically AI can detect species of microscopic marine organisms. basically study of oceans with AI.

Abstract idea

Researchers have developed an AI-based programme that can detect and deliver species-level information of the detected organism. The next step in this process is incorporating this programme in a robotic system. The resultant system will help us study the oceans to the depths still unknown. The information thus gained will help in revealing much about the oceans not just in the present but in the prehistoric past as well.

The work

The AI programme has been able to detect specifically 6 species of foraminifera or forams. Foraminifera or forams are the organisms that have existed in the oceans since the times’ oceans have existed on the surface of the earth. These are neither plants nor animals. When these forams die they leave behind them shells that are hardly a millimeter long. The study of these shells revealed the characteristics of the oceans from the time when these forams were alive.

Shells revel the history

The shells that these forams leave behind really tell a lot. The different species of these forams flourish in different ocean conditions, chemicals and temperature. And hence the study of these shells tell a lot about the conditions of the oceans.

The need for AI

The study of these shells is a tedious and time-consuming task. And we humans always find ways to escape work. This is how and why the AI programme was designed. With the help of the AI programme, the accuracy has increased to a considerate level.

The AI programme shows accurate results 80% times that is way better than human experts. This is just the beginning and with effective implementation and time, it will get more and more accurate. The researchers aim at training the AI to recognize at least 30 species instead of just the current seven. That will increase the implementation too much better levels.

How does it work?

The current foram is examined under a microscope that is capable of taking its photographs. A LED ring shines a light on the foram from 16 different directions thus taking a clear picture from all directions. The 16 photos put together to give much geographical information on the foram. This information is the data that the AI studies and predicts its species. In addition to this the task execution just takes seconds and so it proceeds much faster and of course with accuracy.


The programme that the researchers have come up with will answer tremendous questions about the past and also about some current scenario. The knowledge of this specific domain is really important because the earth is the blue planet that has 73% of its surface area under water. And it is really important to know the cards we are playing with.


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