”Machine learning excited me before I knew it was a thing”

Wherever you end up in working life, some kind of social skills and a capability to work together with people are needed, says Arno Solin. Photo: Matti Ahlgren / Aalto University

Arno Solin is excited about machine learning, as it offers a way to both delve deep into theory and solve real-life problems.

Dr. Arno Solin, Assistant Professor, stores a plastic bag full of electronic gadgets in his office wardrobe, since a student of his needed equipment for building a robot. Part of them have come a long way. "My father bought this soldering iron. I was too little to be in school at the time, or just barely in elementary school," Solin says and laughs.

Already as a child, Solin was interested in technology, physics and mathematics. At home, he would build robots and spaceships. The son of academicians, he saw firsthand the life of researchers – and wanted to become one himself. "After high school, I almost chose Political History as my major. But then I figured it would be easier to have history as a hobby than statistics and mathematics."

In addition to working as an Assistant Professor at Aalto University, Solin is a researcher of FCAI. FCAI is collaborating with the Alan Turing Institute, based in London, and Solin is taking part in this collaboration.

Solin thinks that FCAI’s power lies in the fact that together researchers are stronger. Individual researchers typically need to market their research on their own, but a background institution – such as FCAI – helps to make AI research more concrete for decision-makers and non-professionals. It also helps to build the brand of Finnish research internationally.

“Development of methods isn’t just about doing something at the university, but instead, there’s a greater background idea and clear goals in the long run.”

Machine learning combines theory with solutions to tangible problems

Solin studies machine learning, which is an application of artificial intelligence: the machine learns based on experience without being further programmed by humans. Machine learning makes use of statistics, for example.

In June 2019, the Academy of Finland granted the research project led by Solin funding allocated to the new generation of researchers. Researchers make use of statistical machine learning and the development of computer vision in their project entity.

“DEVELOPMENT OF METHODS ISN’T JUST ABOUT DOING SOMETHING AT THE UNIVERSITY, BUT INSTEAD, THERE’S A GREATER BACKGROUND IDEA AND CLEAR GOALS IN THE LONG RUN.”

Solin finds machine learning fascinating, as you get to combine theory with solutions to tangible problems. He concentrates on probability modeling: How do you model uncertainties? How does machine learning deduce results from new data? How can you help machines reach sensible deductions in the here and now?

"I think I was interested in machine learning already before I knew it was a thing."

In the Academy-funded project, researchers concentrate on sensing, comprehending and describing the environment via machine vision methods. These functions are a challenge in the development of any autonomous or augmented reality system, especially when the surrounding conditions are uncertain.

The project has the potential to develop methods that could solve many a practical problem. This potential fascinates him. New research results could help develop, for example, the functionalities of smartphones. Computation, especially, can be used to make them work better, to use the current data more efficiently. Smartphone cameras could become better for shooting at night, or provide better depth of field without bigger, better and more expensive sensors.

"Existing sensors, existing smartphones can improve and have more to offer simply by being able to arrive at conclusions more effectively from information detected by the device," Solin sums it up.

New knowledge can be applied to many other things. For example depth estimation can help create video games, or devices for the visually impaired to better grasp their surroundings. The research is mostly pure research in nature, but provides reliable and efficient methods for the needs of other disciplines. Through collaboration, they have been adapted in medicine and the evaluation of urban air quality.

The researcher must know how to communicate

Solin, Assistant Professor since 2018, is the co-author of a textbook in stochastic differential equations together with Simo Särkkä, Professor of Electrical Engineering, and he has taught several courses at Aalto University as well as Introduction to AI at the Open University.

Solin laughs when he claims his motives for sharing knowledge are partly self-interested. "Explaining to others, I learn myself. When you have to explain things from different angles, in different ways and afresh, you get a different take on familiar things."

THERE'S NO POINT IN BEING AN ACE RESEARCHER, IF YOU ARE NOT ABLE TO COMMUNICATE YOUR FINDINGS TO OTHERS

Solin considers teaching and conveying your own particular expertise to others as an essential part of a researcher's work. It supports research and raises new generations to study and apply what they have learned.

Already as a child, at the Waldorf School of his native Turku, he learned to present things visually and with clarity, and to hold presentations. He got used to going to some trouble to make things clear to his audience.

"That is something I think should be valued more. There's no point in being an ace researcher, if you are not able to communicate your findings to others."

The Waldorf School has strongly shaped the kind of adult and researcher Solin has grown up to be.

In his opinion, the pedagogy supports the pupil's personal growth. Studies advance in the pupil's terms. Group sizes are small, which enables tuition that is more personal. The school encourages self-expression and social interaction.

"Wherever you end up in working life, some kind of social skills and a capability to work together with people are needed."

Solin hears people are amazed at how many international partners he has. He puts it down to his proclivity to work with other people. "Maybe it comes through, and then others like to work with me, too."

Authored by Anu Haapala / Aalto University
English translation by Susanna Bell