LØRN Case #C0995
Data fusion for smart Environments;
In this episode of #LØRN, Silvija talks to professor at NTNU Trondheim, Pierluigi Salvo Rossi. Pierluigi is originally from Italy, but has lived and worked in Norway for many years. In the conversation, Silvija and Pierluigi talk, among other things, about society’s expectations of AI and ML, and what AI and ML actually can contribute in relation to expectations. Furthermore, Pierluigi explains that AI does not necessarily replace human knowledge and skills, but that technological development can help people to acquire new learning and more knowledge.

Pierluigi Salvo Rossi

Professor

NTNU

"Confidence is what you have before you understand the problem"

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Vi vil gjerne hjelpe deg komme i gang og fortsette å drive med livslang læring.

En LØRN CASE er en kort og praktisk, lett og morsom, innovasjonshistorie. Den er fortalt på 30 minutter, er samtalebasert, og virker like bra som podkast, video eller tekst. Lytt og lær der det passer deg best! Vi dekker 15 tematiske områder om teknologi, innovasjon og ledelse, og 10 perspektiver som gründer, forsker etc. På denne siden kan du lytte, se eller lese gratis, men vi anbefaler deg å registrere deg, slik at vi kan lage personaliserte læringsstier for nettopp deg. Vi vil gjerne hjelpe deg komme i gang og fortsette å drive med livslang læring.

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Who are you and how did you become interested in AI and the technology around it?

I would say I am a person with a good level of curiosity and a desire to learn. At school, I was mostly interested in math, philosophy, and literature. Then I decided to enroll in engineering, assuming it would have given me better job opportunities. In my third year, I discovered the world of “Signal Processing” and I loved it … it is basically applied math/statistics, and it is behind most of the technology we use every day.

What is the most important thing you do at work?

Research: includes writing project proposals for research funds (also in collaboration with research institutions and industries), developing and validating new methodologies, coordinating the work of other researchers (including supervision of doctoral students), disseminating the results through scientific publications.

Teaching: I am currently responsible for introducing the basic concepts of statistical signal processing (estimation, detection, and classification) to the students in the study program Electronic Systems Design and Innovation at NTNU.

What do you focus on in technology/innovation?

I have long experience with data fusion in sensor networks, mostly algorithms design, and performance evaluation. Recently, I am focusing more on sensor-data processing for monitoring applications mostly in the energy and maritime domain using both model-based and data-driven approaches.

Why is it exciting?

It has a good level of abstraction (I like math ) and also a direct impact on practical applications. Basically, it offers a large variety of opportunities from theoretical modeling to experimental research.

What do you think are the most interesting controversies?

If I should select one, maybe the skepticism towards AI/ML (Artificial Intelligence/Machine Learning) approaches, often quickly and unfairly labeled “black-box” with negative emphasis. XAI (Explainable AI) and uncertainty quantification will be crucial for the deployment of AI/ML-based solutions in safety-critical applications.

What do you think is relevant knowledge for the future?

As (in my opinion) it has always been: the ability to learn (possibly fast and deep). Assuming that literacy nowadays includes basic knowledge of digital tools, then the ability to acquire and master new knowledge remains the most important issue. Such ability can be developed by means of any topic, e.g. studying literature, math, music, philosophy, etc.

What do we do uniquely well in Norway within AI?

There are many talents in various AI-related fields, so naming one field would be unfair to many others. However, I would like to stress again the strategic relevance of Norwegian research in the maritime domain. To make an explicit example, even though it is relevant to contribute to the research enabling autonomous cars, I assume that no one expects that Norway will be leading this sector. Differently, Norway has good chances to be the world leader in autonomous ships.

Who are you and how did you become interested in AI and the technology around it?

I would say I am a person with a good level of curiosity and a desire to learn. At school, I was mostly interested in math, philosophy, and literature. Then I decided to enroll in engineering, assuming it would have given me better job opportunities. In my third year, I discovered the world of “Signal Processing” and I loved it … it is basically applied math/statistics, and it is behind most of the technology we use every day.

What is the most important thing you do at work?

Research: includes writing project proposals for research funds (also in collaboration with research institutions and industries), developing and validating new methodologies, coordinating the work of other researchers (including supervision of doctoral students), disseminating the results through scientific publications.

Teaching: I am currently responsible for introducing the basic concepts of statistical signal processing (estimation, detection, and classification) to the students in the study program Electronic Systems Design and Innovation at NTNU.

What do you focus on in technology/innovation?

I have long experience with data fusion in sensor networks, mostly algorithms design, and performance evaluation. Recently, I am focusing more on sensor-data processing for monitoring applications mostly in the energy and maritime domain using both model-based and data-driven approaches.

Why is it exciting?

It has a good level of abstraction (I like math ) and also a direct impact on practical applications. Basically, it offers a large variety of opportunities from theoretical modeling to experimental research.

What do you think are the most interesting controversies?

If I should select one, maybe the skepticism towards AI/ML (Artificial Intelligence/Machine Learning) approaches, often quickly and unfairly labeled “black-box” with negative emphasis. XAI (Explainable AI) and uncertainty quantification will be crucial for the deployment of AI/ML-based solutions in safety-critical applications.

What do you think is relevant knowledge for the future?

As (in my opinion) it has always been: the ability to learn (possibly fast and deep). Assuming that literacy nowadays includes basic knowledge of digital tools, then the ability to acquire and master new knowledge remains the most important issue. Such ability can be developed by means of any topic, e.g. studying literature, math, music, philosophy, etc.

What do we do uniquely well in Norway within AI?

There are many talents in various AI-related fields, so naming one field would be unfair to many others. However, I would like to stress again the strategic relevance of Norwegian research in the maritime domain. To make an explicit example, even though it is relevant to contribute to the research enabling autonomous cars, I assume that no one expects that Norway will be leading this sector. Differently, Norway has good chances to be the world leader in autonomous ships.

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Tema: AI- og datadrevne plattformer
Organisasjon: NTNU
Perspektiv: Mindre bedrift
Dato: 210603
Sted: TRØNDELAG
Vert: SS

Dette er hva du vil lære:


AIMachine Learning Digitalization

2000+ lyttinger

Litteratur:<strongFundamentals of Statistical Signal Processing: </strongVolume I (Estimation Theory) Volume II (Detection Theory) by S.M. Kay (1993) <strongData Fusion in Wireless Sensor Networks: </strong A Statistical Signal Processing Perspective by D. Ciuonzo and P. Salvo Rossi (2019)

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C0995 AI Data fusion for smart Environments; - med Pierluigi Salvo Rossi

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What is signal processing?

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Pierluigiexplain partly why AItoday isso popular and relevant. Why?

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What is the main goal with signal processing?

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