Artificial Intelligence and Machine Learning Conference 2021

Research Manager within Analytics and Artificial Intelligence at SINTEF Digital. Been at SINTEF Digital since March 2017. Came from Aker Solutions with experience from positions as: Specialist Engineer Technology, Strategy and Business Development Manager and Senior Strategy Manager.

Jim Tørresen er professor i informatikk ved Universitetet i Oslo. Han har jobbet med kunstig intelligens i over 20 år gjennom undervisning, forskning og ansvar for flere forskningsprosjekter. For tiden er han prosjektleder eller sentral forsker i tre Forskningsrådsprosjekter og ett senter for fremragende forskning. Han er medlem av Norges Tekniske Vitenskapsakademi og er også medlem av den Nasjonale forskningsetiske komité for naturvitenskap og teknologi (NENT) og arbeidsgruppen deres som har utredet forskningsetiske sider ved AI.

Engineering Product Manager at Pickr ai developing warehouse order picking robots using AI and machine vision.

Cofounded and lead cross-functional teams in a hard-tech startup for over 10 years. Helped raise over 10 million USD for startups in Norway, Singapore and India. Launched products in autonomous mobility and material handling industry leading to open new market and revenue for business.

In his spare time, he mentors Students at IIT Mumbai for Judging Robowars during Techfest since 10 yrs, select students to represent India at the First Global Challenge.

He has received Innovator of the year – TR35 by Massachusetts Institute of Technology, received full scholarship from Stanford Business School for Ignite Fellow program and is an honorary professor at Universidad Abierta Interamericana, Argentina

Experienced executive with a demonstrated history of creating value for clients in the energy and mechanical engineering industry. Strong skills in leading knowledge workers through complex business change such as organizational development, technology maturation, innovation and M&A.

Hard working, structured and versatile physicist. Particularly interested in modeling and simulations, computer vision and machine learning.

Forretningsutvikling, både med tanke på nye forretningsområder / nye digitale løsninger eller FoU prosjekter. Drives av å skape nye løsninger som har et stort innslag av teknologi, og har et godt øye for å se de kommersielle muligheter i disse.
Jobber også som prosjektleder for store initiativer som FoU arbeid innenfor f.eks.. maskinlæring. Fellesnevneren er å bruke mulighetsrommet digitalisering gir for å skape bedre konkurransekraft for både på kort og lang sikt.

Emil has extensive experience in maturing laser, sensor, robotic, automation and AI technology from global innovation projects as a consultant at IPU and a researcher at the Technical University of Denmark and Carnegie Mellon University. Before joining Kairos Technology, Emil spent three years of research on the technology used in Kairos’ products for real-time cause-consequence reasoning. With a multidisciplinary background, Emil is able to combine physical process understanding with experience in modelling, simulation and digitization

Lone Marselia har fullført en integrert mastergrad innenfor Kybernetikk og Robotikk på NTNU, med spesialisering innenfor fartøystyring. Hun skrev masteroppgave om bruk av maskinlæring innenfor den maritime sektoren som hun skal prate mer om I foredraget sitt. Nå jobber Lone med cyber security og monitoring i Sopra Steria.

Harald Martens was originally educated as an industrial biochemist at NTH, and like many bio-oriented people, he found mathematics and statistics boring and irrelevant. But after complaints that his chemical instruments produced «too much data», he felt obliged to ask «what is behind the data?»

Gradually he discovered that linear matrix algebra is perfect for modelling chemical mixtures, that data approximation methods from psychology are great for discovering unexpected variation patterns in technical data, and that graphics and simple cross-validation gives combined understanding and statistical reliability, even for big data sets. He became a chemometrician.

Over the next 50 years he has developed data modelling methods and -tools, and analyzed technical and human data sets in a number of fields of science and technology. He has been a professor at six universities and worked in several companies internationally. His data analysis research papers (https://scholar.google.no/citations?hl=no&user=60HNWsYAAAAJ&view_op=list_works&sortby=pubdate ) have now been cited more than 25 000 times.

At present he is prof. emerit. in the field of Big Data Cybernetics at the Dept. of engineering cybernetics at NTNU, and is the founder and research leader of the industrial process analysis company Idletechs AS (https://idletechs.com/) in Trondheim. Despairing over wide-spread math anxiety in our society, and the dangers of using black box AI systems in industry, he is also involved in developing new ways to teach mathematics and statistics to math-averse students, under the slightly conspiratorial motto:

«The World is important. Math is not important. But Math offers wonderful tools for understanding the World».