Once again we are summoning the tech community of Västerbotten for an evening of inspiring stories, networking, snacks and drinks.
This time we will immerse ourselves in the world of artificial intelligence.
As usual there will be time for networking and making new friends within the startup community.
Helena Lindgren will provide a brief outlook on national efforts to boost AI in the Swedish society to put Sweden at the forefront on the international AI arena. One of these is the Wallenberg Autonomous Systems, AI and Software Program (WASP), that represents the largest effort on AI-research in Sweden. Another is the co-location of the largest, most prestigious international scientific conferences on AI in Stockholm in July. From a Northern Swedish perspective this rises some questions. In particular, what is in it for us, and what role can we play?
Helena Lindgren has 25 years of experience in adapting existing, and developing new technology to enhance human capacity, productivity and wellbeing, this as therapist, ergonomics expert and AI-researcher. Helena is Associate Professor in Computer Science, part of the management group of the largest effort on AI in Sweden, WASP-AI, board member of the Swedish AI Society, and member of the organization committee for IJCAI-ECAI 2018. Results of her research include successful implementations of a medical decision-support system in Korea and Japan, and additional health-promoting applications in Sweden.
More and more often we read about how Artificial Intelligence will change our lives, both as individuals and as companies. One example is intelligent talking machines, which are predicted to be “as critical to the enterprise of 2020 as their websites are today". Thomas will describe a few such machines, with a focus on chatbots and robots, and also give examples of how Artificial Intelligence may address the challenges involved in developing such systems. If technology prefers to cooperate, the presentation will also include a demonstration with one of our talking robots on stage.
Thomas Hellström is professor in Computing Science at Umeå University, and co-founder of the startup The Factify AB. His academic work revolves around “embodied AI”, i.e. intelligent robots - ranging from self-driving forest machines to service robots for personal use. He has coordinated several large-scale research projects at the European level. Thomas business portfolio contains several successful startups, and in The Factify AB he combines his business and academic experience to create talking machines driven by state-of-the-art Artificial Intelligence techniques.
Technical breakthroughs is creating completely new tools for innovation. Tech itself has moved from something that creates possibilities for creative solutions to inspire and create the solutions itself.
Doberman Forward is the investment arm of the international design & innovation firm Doberman. They work as an accelerator, helping frontier companies grow fast by investing in their product and services. At Umeå Tech Arena they will showcase how some of their portfolio companies work with AI to create cutting edge customer-oriented design solutions.
Klara Leander is Investment Manager and Magnus Bergmark is CEO at Doberman Forward.
Dr. Christian Guttmann is Global Head of AI and Vice President of Innovation at Tieto aswell as Prof. Assoc. Adj. at UNSW and Adj. Researcher at KI. Christian advances AI technology, science and business to new heights for societal prosperity in teams of bright and passionate minds. He works on strategy and execution of Artificial Intelligence and Machine Learning for business, startups and government organisations. Christian will talk about how AI will change how our society works in its fundaments.
Christian Guttmann has over 20 years of industrial, scientific and technological experience in AI. At BT, IBM, HP, successful startups and top ranked universities, he has led innovation teams using artificial intelligence & machine learning. Christian creates high-impact AI systems and products, patents and scientific publications, and enjoys working in great teams and partnerships.
In an era where AI is applied everywhere from health care to self-driving cars, it is ironic that the complex IT infrastructures needed to train and host these AI services, themselves are managed manually. This short presentation outlines the challenges of fullyself-driving IT infrastructures, the intermediary solutions available today, and the role of AI in fulfilling this vision.
Johan Tordsson is CTO and co-founder of Elastisys and holds a PhD in computer science. He is passionate about cloud automation, DevOps, and autonomic computing and is a strong believer that artificial intelligence will revolutionize IT operations. Tordsson has a background as developer, chief architect, and scientific coordinator in multiple large-scale European research projects on cloud resource management. He also holds a part-time appointment as Associate Professor at Umeå University. In 2016, he won the Nordea Scientific Award for his research contributions within self-optimizing and self-healing data centers.
Over the last five years, public interest in AI and the enabling technology machine learning (ML) has steadily increased. Although most of the central algorithms were invented in the 70s and 80s, we only recently had sufficient computational power to make them practically relevant. Applications in, e.g., content personalisation, industrial automatisation, and health care suggest that AI will have far-reaching implications for society. This talks gives a brief and high-level introduction to the field, summaries current events, and concludes with some wild speculations about the coming decades.
Johanna shares her time between Umeå University, where she is an Associated Professor in Computing Science, and her spinn-off Codemill, which specialises in digital video, machine learning, and product development. She has received several scientific and industrial awards, and is named as one of Sweden’s most promising entrepreneurs under 40.
Lexplore AB provides tools for easy overview insight of school children’s reading ability. The aim is to help schools detect reading problems early, and to provide individualized teaching for all children. At the core of the product is an eye-tracking based machine learning algorithm rooted in many years of research at Karolinska Institutet.
The algorithm is based on that reading ability correlates with characteristic traits of eye movements such as saccades and fixations. Lexplore has developed a complete system with a screening client, a cloud deployed algorithm and a user interface for data analysis from the individual pupil’s reading level to aggregated data on municipality level.
Henrik Rehbinder is the Chief Science Officer at Lexplore and will tell us more about how they try to make a real impact for children and adults with reading difficulties.
17.00-18.00 – Mingle and networking
18.00-20.00 – Stage program
20.00-22.00 – Early summer party
You are using an outdated browser. Please upgrade your browser to improve your experience.