Digi Breakfast: AI goes industry

Lecturer : 
Event type: 
Event
Doctoral dissertation
Respondent: 
Opponent: 
Custos: 
Event time: 
2017-09-12 08:00 to 10:00
Place: 
AS1, TUAS Building, Maarintie 8, Espoo
Description: 

Digi Breakfast event is organised by Aalto Digi Platform. The event is open to everyone free-of-charge.

Date: 12.09.2017 at 8.00-10.00
Venue: AS1, TUAS Building, Maarintie 8, Espoo

Topic:
Advances in artificial intelligence disruptively change the society, enabling novel products and services that used to be science fiction still recently, and Finland is committing to become one of the world leaders in artificial intelligence. The question is, how do we get there? The Helsinki area is widely recognised as a key player in artificial intelligence research, with strong research tradition in machine learning and neural networks. How can we use this world-class expertise to help Finnish industry to obtain competitive edge? How can companies be part of developing the next generation of artificial intelligence?

See the final program from the event webpage.

Registration link will be closed on 7.9.2017 at middnight.

Participation is free of charge and you may distribute this invitation for your industrial and public sector collaborators.

Welcome!

Building-Energy-Transportation Systems (BETS) and the Coming Industrial Disruptions

Lecturer : 
Randy H. Katz
Event type: 
Guest lecture
Event time: 
2017-08-31 13:00 to 14:00
Place: 
Great Hall, University of Helsinki Main Building (Unioninkatu 34)
Description: 

The next lecture in the Helsinki Distinguished Lecture Series on Future Information Technology will be given by Professor Randy Katz, UC Berkeley.

The lecture is a part of the 50 Years of Computer Science in Helsinki Jubilee Seminar. Please see the full programme of the seminar.

Registration is required to logistic reasons. Please register to the Jubilee Seminar by clicking here.

The seminar is free of charge and open to everyone (but see registration link above). The seminar programme will be followed by an informal cocktail event starting at 5.30pm.
 
 

Randy H. Katz University of California, Berkeley

Building-Energy-Transportation Systems (BETS) and the Coming Industrial Disruptions

Abstract: Most of us spend the vast majority of our time inside buildings or getting between them. The increasingly interconnected systems for building management, energy generation and delivery, and transportation are setting the stage for a major technological and societal revolution, and it may happen faster than we could imagine. Experts predict that vehicles and the way they are used will change more in the next two decades than they have in the last 100 years. The impact on cities will be particularly profound. In this talk, we highlight the interconnected trends leading to major disruptions in the petroleum, utility, and automobile industries and the opportunities these disruptions provide for new information technology research and development, the ultimate achievement of which will be an entirely new kind of "operating system" for the real-world.

Randy Howard Katz is the United Microelectronics Distinguished Professor of Electrical Engineering and Computer Science at the University of California, Berkeley, where he has been on the faculty since 1983. He is best known for his innovations in computer architecture (Snoop multiprocessor cache consistency), storage systems (RAID), and wireless networking (Snoop TCP), as well as overseeing the connection of the U.S. White House to the Internet in 1994 while seconded to the Defense Advanced Research Agency (DARPA). He is a member of the U.S. National Academy of Engineering, fellow of the American Academy of Arts and Sciences and the American Association for the Advancement of Science, and fellow of the ACM and IEEE. He has published over 300 journal articles, conference papers, and book and book chapters. He has won numerous awards for research and teaching, and is particularly proud of his honorary doctorate from the University of Helsinki.

 

Welcome!

50 Years of Computer Science in Helsinki Jubilee Seminar

Event type: 
Event
Event time: 
2017-08-31 13:00 to 18:00
Place: 
Great Hall, University of Helsinki Main Building (Unioninkatu 34)
Description: 

This year the Department of Computer Science of the University of Helsinki celebrates its 50th Anniversary. The festivities include a Jubilee Seminar on Thursday 31 August 2017, at 1-6 p.m., in the Great Hall of the University Main Building (Unioninkatu 34).

The event is free of charge and open to everyone. Registration is required for logistic reasons.

Please register by clicking here.

Prof. Steven Dow on Advancing Collective Innovation

Lecturer : 
Prof. Steven Dow (UC San Diego)
Event type: 
Guest lecture
Event time: 
2017-06-19 15:00 to 16:00
Place: 
Unioninkatu 34, Auditorium IV, 2nd floor (Accessibility: Fabianinkatu 33)
Description: 
Advancing Collective Innovation
Society's most daunting problems call for new strategies that engage many diverse stakeholders in a design process in order to solve bigger and messier problems. While the Internet makes it easy to find and coordinate people, we need to advance fundamental knowledge and technologies for "collective innovation", where groups collectively explore and refine solutions for big problem areas. To explore this, my research group contributes novel interactive systems to better understand 1) how to productively select and build on the most promising and creative ideas; 2) how to effectively engage in large-scale participatory design by gathering feedback from communities of stakeholders; and 3) how to engage citizens in decision-making processes related to civic issues. To guide and motivate the design of these systems, this research builds on theories of design thinking and collective intelligence.
 
Steven Dow is an Assistant Professor in the department of Cognitive Science at UC San Diego where he researches human-computer interaction, social computing, and creativity. Steven received the National Science Foundation CAREER Award in 2015 and was co-PI on three other NSF grants, a Google Faculty Grant, and the Hasso Plattner Design Thinking Research Grant. Before UCSD, Steven was an Assistant Professor of Human-Computer Interaction at Carnegie Mellon University and a postdoc in Computer Science at Stanford University where he won the Postdoctoral Research Award. He received an MS and PhD in Human-Centered Computing from the Georgia Institute of Technology, and a BS in Industrial Engineering from University of Iowa.

Machine Learning Coffee seminar "Statistical Ecology with Gaussian Processes"

Lecturer : 
Jarno Vanhatalo
Event type: 
HIIT seminar
Doctoral dissertation
Respondent: 
Opponent: 
Custos: 
Event time: 
2017-06-05 09:15 to 10:00
Place: 
Exactum D123, Kumpula
Description: 

Jarno Vanhatalo, Assistant Professor in Statistics, University of Helsinki

On Priors and Bayesian Variable Selection in Large p, Small n Regression

Abstract: Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Key questions in ecology include what are the environmental factors and interspecies dependencies that drive species distributions, how these processes together affect species community structures and how environmental changes, such as climate change, affect species distribution and species communities. These questions are essentially about variable selection and causal and predictive inference. Hence, statistics has a central role in answering them. The species distribution models (SDMs) used for these analyses are traditionally based on generalized linear and additive models. In this talk I will present how Gaussian processes (GPs) can be used in SDMs and what benefits and challenges this provides. I will present recent results on GP based species distribution modeling in the Baltic Sea and Great Barrier Reef, Australia. I will discuss the potential future development and current challenges related to computation and model building.

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.

Next talks:

June 12, Otaniemi: Zhirong Yang: Learning Data Representation by Large-Scale Neighbor Embedding
--after June 12, we'll have a summer break and continue on September 4, 2017--

Welcome!

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